Yr Athro Alun Preece

2025

• Roig Vilamala, M. et al. 2025. Understanding human-machine team communication from an explainable-AI perspective. Presented at: 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) Eindhoven, Netherlands 25-29 August 2025. 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE. , pp.402-409. (10.1109/ro-man63969.2025.11217893)
• Furby, J. et al. 2025. The impact of concept explanations and interventions on human-machine collaboration. Presented at: The 3rd World Conference on Explainable Artificial Intelligence Istanbul, Turkey 9 -11 July 2025. Proceedings of the 3rd World Conference on Explainable Artificial Intelligence. Vol. 2576.Communications in Computer and Information Science Springer Nature. , pp.255-280. (10.1007/978-3-032-08317-3_12)

2024

• Bent, G. A. et al., 2024. The transformative potential of vector symbolic architecture for cognitive processing at the network edge. Presented at: Security and Defence 2024 Edinburgh, UK 16-20 September 2024. Published in: Bouma, H. et al., Proceedings Artificial Intelligence for Security and Defence Applications II. Vol. 13206.SPIE. , pp.1320612. (10.1117/12.3030949)
• Bent, G. A. et al., 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II Edinburgh, UK 17–19 September 2024. Published in: Bouma, H. et al., Proceedings of Artificial Intelligence for Security and Defence Applications II. Vol. 132061. SPIE. , pp.39-55. (10.1117/12.3030952)
• Briseno, J. d. G. et al., 2024. TeamCollab: A framework for collaborative perception-cognition-communication-action. Presented at: 27th International Conference on Information Fusion (FUSION) Venice, Italy 08-11 July 2024. 2024 27th International Conference on Information Fusion (FUSION). IEEE. , pp.1-8. (10.23919/fusion59988.2024.10706435)
• Davies, C. and Preece, A. 2024. Vector symbolic open source information discovery. Presented at: SPIE Defense + Commercial Sensing National Harbor, Maryland, United States 7 June 2024. Proceedings Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI. Vol. 13051.SPIE. (10.1117/12.3013447)
• Antypas, D. , Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis Bangkok, Thailand 15 August 2024. Published in: De Clercq, O. et al., Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics. , pp.71-83.
• Roig Vilamala, M. et al. 2024. Analysing explanation-related interactions in collaborative perception-cognition-communication-action. Presented at: RO-MAN 2024: 33rd IEEE International Conference on Robot and Human Interactive Communication Pasadena, CA, USA 26-30 August 2024. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2024). IEEE.

2023

• Barclay, I. et al. 2023. Providing assurance and scrutability on shared data and machine learning models with verifiable credentials. Concurrency and Computation: Practice and Experience 35 (18) e6997. (10.1002/cpe.6997)
• Davies, C. , Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. Presented at: 2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making Long Beach, CA, USA 7 August 2023.
• Roig Vilamala, M. et al. 2023. DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Systems with Applications 215 119376. (10.1016/j.eswa.2022.119376)
• Antypas, D. , Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33 100242. (10.1016/j.osnem.2023.100242)

2022

• Edwards, A. et al. 2022. Guiding generative language models for data augmentation in few-shot text classification. Presented at: DaSH 2022 Abu Dhabi, United Arab Emirates (Hybrid) 08 December 2022. Published in: Dragut, E. et al., Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances). Abu Dhabi, United Arab Emirates: ACL. , pp.51-63.
• Barclay, I. et al. 2022. Trustable service discovery for highly dynamic decentralized workflows. Future Generation Computer Systems 134 , pp.236-246. (10.1016/j.future.2022.03.035)
• Rogers, D. et al. 2022. Real-time text classification of user-generated content on social media: Systematic review. IEEE Transactions on Computational Social Systems 9 (4), pp.1154-1166. (10.1109/TCSS.2021.3120138)
• Bent, G. et al., 2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022 Orlando, Florida, United States 3 April - 13 June 2022. Published in: Pham, T. and Solomon, L. eds. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. Vol. 12113.SPIE. , pp.121131M. (10.1117/12.2617362)
• Ashford, J. et al. 2022. Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis. Online Social Networks and Media 27 100178. (10.1016/j.osnem.2021.100178)
• Bent, G. et al., 2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI) Padova, Italy 18-23 July 2022. IEEE

2021

• Barclay, I. et al. 2021. A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency and Computation: Practice and Experience 33 (19) e6129. (10.1002/cpe.6129)
• Barclay, I. et al. 2021. Towards traceability in data ecosystems using a Bill of Materials model. Presented at: International Workshop on Science Gateways Ljubljana, Slovenia 12-14 June 2019. Published in: Stankovski, V. and Gesing, S. eds. CEUR Workshop Proceedings
• Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021) Virtual 07 June 2021. AAAI(10.36190/2021.13)
• Vente, S. et al., 2021. Increasing negotiation performance at the edge of the network. Presented at: EUMAS 2020 : 17th European Conference on Multi-Agent Systems Online 22-23 April 2020. Published in: Bassiliades, N. , Chalkiadakis, G. and De Jonge, D. eds. Multi-Agent Systems and Agreement Technologies: 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers. Lecture Notes in Computer Science Springer. , pp.351-365. (10.1007/978-3-030-66412-1_22)

2020

• Edwards, A. et al. 2020. Go simple and pre-train on domain-specific corpora: on the role of training data for text classification. Presented at: 28th International Conference on Computational Linguistics Barcelona, Spain 8-13 December 2020. Published in: Scott, D. , Bel, N. and Zong, C. eds. Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. , pp.5522–5529. (10.18653/v1/2020.coling-main.481)
• Barclay, I. et al. 2020. Enabling discoverable trusted services for highly dynamic decentralized workflows. Presented at: 15th IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS 2020) Virtual 11 November 2020. Proceedings of Workflows in Support of Large-Scale Science. IEEE. , pp.41-48. (10.1109/WORKS51914.2020.00011)
• Simpkin, C. et al. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111 , pp.117-131. (10.1016/j.future.2020.04.005)
• Tomsett, R. et al., 2020. Rapid trust calibration through interpretable and uncertainty-aware AI. Patterns 1 (4)(10.1016/j.patter.2020.100049)
• Tomsett, R. et al., 2020. Sanity checks for saliency metrics. Presented at: AAAI-20: 34th AAAI Conference on Artificial Intelligence New York City, NY, USA 7-12 February 2020. Proceedings of the 34th AAAI Conference on Artificial Intelligence. Vol. 34(04).AAAI Press. , pp.6021-6029. (10.1609/aaai.v34i04.6064)
• Ashford, J. et al. 2020. Assessing temporal and spatial features in detecting disruptive users on Reddit. Presented at: International Conference on Advances in Social Networks Analysis and Mining (ASONAM) The Hague, Netherlands 7-10 December 2020. Proceedings of the International Conference on Advances in Social Networks Analysis and Mining. IEEE/ACM. , pp.892-896. (10.1109/ASONAM49781.2020.9381426)
• Barclay, I. , Preece, A. and Taylor, I. 2020. Certifying provenance of scientific datasets with self-sovereign identity and verifiable credentials. Presented at: 12th International Workshop on Science Gateways (IWSG 2020) Virtual 10-12 June 2020.
• Tuxworth, D. et al. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021 14 -18 August 2021.

2019

• Edwards, A. , Preece, A. D. and De Ribaupierre, H. 2019. Knowledge extraction from a small corpus of unstructured safeguarding reports. Presented at: 16th ESWC 2019 Portoroz, Slovenia 2-6 June 2019. Published in: Hitzler, P. et al., The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Vol. 11762.Lecture Notes in Computer Science Cham: Springer. , pp.38-42. (10.1007/978-3-030-32327-1_8)
• Vilamala, M. R. et al., 2019. A pilot study on detecting violence in videos fusing proxy models. Presented at: 22nd International Conference on Information Fusion Ottawa, Canada 2-5 July 2019. 2019 22th International Conference on Information Fusion (FUSION). IEEE(10.23919/FUSION43075.2019.9011329)
• Ashford, J. et al. 2019. Understanding the signature of controversial Wikipedia articles through motifs in editor revision networks. Presented at: The Web Conference 2019 San Francisco, CA, USA 13-17 May 2019.
• Barclay, I. et al. 2019. A conceptual architecture for contractual data sharing in a decentralised environment. Presented at: SPIE Defense + Commercial Sensing, 2019 Baltimore, MD, United States 15-17 April 2018. Published in: Pham, T. ed. Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications;. SPIE. , pp.110060G. (10.1117/12.2518644)

2018

• Braines, D. , Preece, A. and Harborne, D. 2018. Multimodal explanations for AI-based multisensor fusion. Presented at: NATO SET-262 RSM on artificial intelligence for military multisensor fusion engines Budapest 05-06 November 2018.
• Cerutti, F. et al. 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion Cambridge, UK 10-13 July 2018. Proceedings of the 21st International Conference on Information Fusion. IEEE. , pp.1-8. (10.23919/ICIF.2018.8455458)
• Bannister, C. A. et al. 2018. A genetic programming approach to development of clinical prediction models: a case study in symptomatic cardiovascular disease. PLoS ONE 13 (9) e0202685. (10.1371/journal.pone.0202685)
• Harborne, D. et al. 2018. Reasoning and learning services for coalition situational understanding. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX (SPIE Defense and Commercial Sensing Conference 10635) Orlando, USA 16-18 April 2018. Published in: Kolodny, M. A. , Wiegmann, D. M. and Pham, T. eds. Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX. SPIE. (10.1117/12.2307009)
• Innes, M. et al. 2018. Ten 'Rs' of social reaction: using social media to analyse the 'post-event' impacts of the murder of Lee Rigby. Terrorism and Political Violence 30 (3), pp.454-474. (10.1080/09546553.2016.1180289)
• Preece, A. D. 2018. Asking 'why' in AI: Explainability of intelligent systems - perspectives and challenges. Intelligent Systems in Accounting, Finance and Management 25 (2), pp.63-72. (10.1002/isaf.1422)
• Preece, A. et al. 2018. Sentinel: a co-designed platform for semantic enrichment of social media streams. IEEE Transactions on Computational Social Systems 5 (1), pp.118-131. (10.1109/TCSS.2017.2763684)
• Roberts, C. et al. 2018. After Woolwich: analyzing open source communications to understand the interactive and multi-polar dynamics of the arc of conflict. British Journal of Criminology 58 (2), pp.434-454. (10.1093/bjc/azx024)
• Braines, D. et al. 2018. Subjective Bayesian Networks and human-in-the-loop situational understanding. Presented at: GKR 2017: 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning Melbourne, VIC, Australia 21 August 2017. Published in: Croitoru, M. et al., Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers. Lecture Notes in Computer Science Springer. , pp.29-53. (10.1007/978-3-319-78102-0_2)
• Harborne, D. et al. 2018. Integrating learning and reasoning services for explainable information fusion. Presented at: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence Montreal, Canada 14-17 May 2018.
• Barclay, I. , Preece, A. and Taylor, I. 2018. Defining the collective intelligence supply chain. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Arlington, WA, USA 18-21 October 2018.
• Harborne, D. et al. 2018. Conversational control interface to facilitate situational understanding in a city surveillance setting. Presented at: The fourth Linguistic and Cognitive Approaches to Dialog Agents Workshop (LACATODA 2018) Stockholm, Sweden 13 Jul 2018. Published in: Rzepka, R. , Vallverdu, J. and Wlodarczyk, A. eds. Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop. , pp.59-66.
• Kaplan, L. et al., 2018. Uncertainty aware AI ML: Why and how [Pre print].
• Preece, A. et al. 2018. Stakeholders in explainable AI. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings Arlington, VA, USA 18-20 October 2018.
• Preece, A. et al. 2018. Provisioning robust and interpretable AI/ML-based service bundles. Presented at: MILCOM 2018 Los Angeles, USA October 29 - 31, 2018.
• Preece, A. D. et al. 2018. Hows and whys of artificial intelligence for public sector decisions: Explanation and evaluation. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings Arlington, VA, USA 18-20 October 2018.
• Simpkin, C. et al. 2018. Dynamic distributed orchestration of Node-RED IOT workflows using a vector symbolic architecture. Presented at: WORKS 2018 Dallas Texas 11-16 November 2018.
• Tomsett, R. et al., 2018. Interpretable to whom? A role-based model for analyzing interpretable machine learning systems. Presented at: 3rd Annual Workshop on Human Interpretability in Machine Learning (WHI 2018) Stockholm, Sweden 14 July 2018.

2017

• Preece, A. et al. 2017. SHERLOCK: Experimental evaluation of a conversational agent for mobile information tasks. IEEE Transactions on Human-Machine Systems 47 (6), pp.1017-1028. (10.1109/THMS.2017.2700625)
• Chakraborty, S. et al., 2017. Deep learning for situational understanding. Presented at: IEEE International Conference on Information Fusion Xi'an, China 10-13 July 2017. Information Fusion (Fusion), 2017 20th International Conference on. IEEE. (10.23919/ICIF.2017.8009785)
• Whitaker, R. M. et al. 2017. From evolution to revolution: understanding mutability in large and disruptive human groups. Presented at: SPIE Defense + Security Symposium: Next-Generation Analyst V Anaheim, California, United States. 9 - 13 April 2017. Next-Generation Analyst V. Vol. 10207.SPIE Proceedings Bellingham, Wa: SPIE. , pp.1020703. (10.1117/12.2267996)
• Zaroukian, E. et al., 2017. Automation bias with a conversational interface: user confirmation of misparsed information. Presented at: IEEE Conference on Cognitive and Computational Aspects of Situation Management Savannah, GA, USA 27-31 March 2017. Cognitive and Computational Aspects of Situation Management (CogSIMA), 2017 IEEE Conference on. IEEE. (10.1109/COGSIMA.2017.7929605)
• O'Leary, N. et al., 2017. Conversational homes. Presented at: The Ninth International Conference on Advanced Cognitive Technologies and Applications Athens, Greece 19 - 23 February 2017. ThinkMind: COGNITIVE 2017. The 9th International Conference on Advanced Cognitive Technologies and Applications. IARIA. , pp.82-89.
• Braines, D. et al., 2017. Conversational homes: a uniform natural language approach for collaboration among humans and devices. International Journal on Advances in Intelligent Systems 10 (3/4), pp.223-237.
• Braines, D. et al. 2017. Human-in-the-loop situational understanding via subjective Bayesian networks. Presented at: The 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2017) Melbourne, Australia 19-25 August 2017.
• Chakraborty, S. et al., 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
• Nottle, A. et al., 2017. Distributed opportunistic sensing and fusion for traffic congestion detection. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
• Preece, A. D. and Braines, D. S. 2017. Conversational services for multi-agency situational understanding. Presented at: AAAI 2017 Fall Symposium: Cognitive Assistance in Government and Public Sector Applications Washington, D.C., USA 9-11 November 2017.
• Preece, A. D. et al. 2017. Cognitive computing for coalition situational understanding. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations San Francisco, CA, USA 7-8 August 2017.
• Preece, A. D. et al. 2017. Coalitions of things: supporting ISR tasks via Internet of Things approaches. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII Anaheim, USA 10 - 13 April 2017. Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII. Vol. 10190.SPIE. , pp.101900A. (10.1117/12.2266460)
• Verma, D. et al., 2017. A blockchain based architecture for asset management in coalition operations. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII Anaheim, USA 10 - 13 April 2017. Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII. Vol. 10190.SPIE. , pp.101900Y. (10.1117/12.2264911)

2016

• Innes, M. et al. 2016. Of instruments and data: Social media uses, abuses and analysis. In: Fielding, N. G. , Lee, R. M. and Blank, G. eds. The SAGE Handbook of Online Research Methods. Sage. , pp.108-124.
• Braines, D. et al., 2016. Agile development of ontologies through conversation. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII Baltimore, Maryland 17 April 2016. Proceedings SPIE 9831 Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII. Vol. 9831., pp.98310B. (10.1117/12.2229405)
• Preece, A. D. et al. 2016. From open source communications to knowledge. Presented at: Next-Generation Analyst IV Baltimore, MD, USA 18-19 April 2016.
• Preece, A. D. et al. 2016. Human computer collaboration at the edge: enhancing collective situation understanding with controlled natural language. Presented at: 21st International Command and Control Research and Technology Symposium London, UK 6-8 September 2016.
• Toniolo, A. et al., 2016. Conversational intelligence analysis. Presented at: 17th International Conference on Distributed Computing and Networking Singapore 4-7 January 2016. Proceedings of the 17th International Conference on Distributed Computing and Networking. ACM. , pp.42. (10.1145/2833312.2849568)

2015

• Williams, L. et al. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42 (21), pp.7375-7385. (10.1016/j.eswa.2015.05.039)
• Braines, D. et al., 2015. Building a "living database" for human-machine intelligence analysis. Presented at: 18th International Conference on Information Fusion Washington DC, USA 6-9 July 2015.
• Evans, K. et al. 2015. Dynamically reconfigurable workflows for time-critical applications. Presented at: SC15: The International Conference for High Performance Computing, Networking, Storage, and Analysis New York City, NY, USA 16-19 November 2015. WORKS '15 Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science. , pp.1-10. (10.1145/2822332.2822339)
• Parizas, C. et al. 2015. Interest-based negotiation for asset sharing policies. Presented at: Coordination, Organizations, Institutions and Norms in Agent Systems (COIN 2015), 12th International Conference on Autonomous Agents and Multiagent Systems Istanbul, Turkey 4 May 2015.
• Pham, T. et al., 2015. Tasking the tweeters: obtaining actionable information from human sensors. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI Baltimore, MD 20 April 2015. SPIE Proceedings. Vol. 9464.Society of Photo-optical Instrumentation Engineers. , pp.946402. (10.1117/12.2179910)
• Preece, A. D. , Webberley, W. and Braines, D. 2015. Conversational sensemaking. Presented at: Next Generation Analyst III Baltimore, MD 20 April 2015. Published in: Broome, B. D. et al., SPIE Proceedings. Vol. 9499.SPIE. , pp.94990I. (10.1117/12.2179909)
• Spasic, I. et al. 2015. TRAK app suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions. JMIR Research Protocols 4 (4) e122. (10.2196/resprot.4091)

2014

• Braines, D. et al., 2014. Enabling CoIST users: D2D at the network edge. Presented at: 17th International Conference on Information Fusion Salamanca, Spain 7-10 July 2014. 17th International Conference on Information Fusion (FUSION), 2014. IEEE
• Iqbal, A. et al. 2014. Measuring continuous patient activity post-stroke using a novel sensor-based computerised system. Presented at: Welsh Stroke Conference 2014 Cardiff, UK 4-5 June 2014. , pp.-.
• Bannister, C. A. et al. 2014. Automatic development of clinical prediction models with genetic programming: A case study in cardiovascular disease. Value in Health 17 (3), pp.A200-A201. (10.1016/j.jval.2014.03.1171)
• Preece, A. et al. 2014. Conversational sensing. Presented at: Sensing Technologies + Applications 2014Published in: Broome, B. D. , Hall, D. L. and Llinas, J. eds. Proceedings SPIE 9122, Next-Generation Analyst II. Vol. 9122.Society of Photo-optical Instrumentation Engineers. , pp.91220I. (10.1117/12.2053283)
• Preece, A. D. et al. 2014. Human-machine conversations to support multi-agency missions. ACM SIGMOBILE Mobile Computing and Communications Review 18 (1), pp.75-84. (10.1145/2581555.2581568)
• Preece, A. D. , Bakdash, J. and Pizzocaro, D. 2014. Soldier decision-making for allocation of intelligence, surveillance, and reconnaissance assets. Presented at: 19th International Command and Control Research and Technology Symposium Alexandria VA, 16-19 June 2014.

2013

• Chen, Y. et al. 2013. D3.4 ENVRI Reference Model V1.1. Project Report.ENVRI Project Collaboration.
• Chen, Y. et al. 2013. Analysis of common requirements for environmental science research infrastructures. Presented at: International Symposium on Grids and Clouds 2013 (ISGC 2013), Taipei, Taiwan 17-22 March 2013.
• Chen, Y. et al. 2013. A common reference model for environmental science research infrastructures. Presented at: 27th International Conference on Informatics for Environmental Protection University of Hamburg, Germany 2-4 September 2013. Published in: Page, B. et al., EnviroInfo 2013: Environmental Informatics and Renewable Energies, 27th International Conference on Informatics for Environmental Protection. Aachen: Shaker Verlag GmbH. , pp.665-673.
• Greenwood, M. et al. 2013. Automatic extraction of personal experiences from patients' blogs: A case study in chronic obstructive pulmonary disease. Presented at: Third International Conference on Social Computing and its Applications Karlsruhe, Germany 30th September - 2nd October 2013.
• Iqbal, A. et al. 2013. A new computerised system can continuously measure functional activities of patients in a stroke rehabilitation unit. Cerebrovascular Diseases -Basel- 35 (supp 3), pp.204-204.
• Preece, A. et al. 2013. Agilely assigning sensing assets to mission tasks in a coalition context. IEEE Intelligent Systems 28 (1), pp.57-63. (10.1109/MIS.2012.86)
• Preece, A. D. et al. 2013. Human-machine conversations to support mission-oriented information provision. Presented at: Mobicom 2013: The 19th Annual International Conference on Mobile Computing and Networking Miami, FL., USA 30 Sept - 4 Oct 2013. MiSeNet '13: Proceedings of the 2nd ACM Annual International Workshop on Mission-Oriented Wireless Sensor Networking. ACM. , pp.43-50. (10.1145/2509338.2509342)
• Spasic, I. et al. 2013. FlexiTerm: a flexible term recognition method. Journal of Biomedical Semantics 4 27. (10.1186/2041-1480-4-27)

2012

• Iqbal, A. et al. 2012. Measuring functional activities of patients in a stroke unit: Comparison of a sensor based Real Time Location System with the Observational Behaviour Mapping Technique [Poster Abstract]. Presented at: UK Stroke Forum Harrogate, UK 4-6 December 2012. Internation Journal of Stroke 2012. Vol. 7.Wiley-Blackwell. , pp.48-48. (DOI: 10.1111/j.1747-4930.2012.00961.x)
• Al-Dossari, H. , Shao, J. and Preece, A. D. 2012. Improving QoS assessment over multiple attributes with asynchronous data. Computer Systems Science and Engineering 27 (2), pp.133-147.
• Chen, F. et al., 2012. A system architecture for exploiting mission information requirement and resource allocation. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III Baltimore, ML 23 April 2012. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). Vol. 8389.SPIE. , pp.838908. (10.1117/12.923685)
• Elwyn, G. et al. 2012. Detecting deterioration in patients with chronic disease using telemonitoring: navigating the 'trough of disillusionment'. Journal of Evaluation in Clinical Practice 18 (4), pp.896-903. (10.1111/j.1365-2753.2011.01701.x)
• Gwilliams, C. et al. 2012. K-HAS: an architecture for using local and global knowledge in wireless sensor networks. Presented at: The International Conference on Informatics & Applications University Sultan Zainal Abidin, Kuala Terengganu, Malaysia 3-5 June 2012.
• Gwilliams, C. , Preece, A. D. and Hardisty, A. 2012. Local and global knowledge to improve the quality of sensed data. International Journal of Digital Information and Wireless Communications 2 (2), pp.164-180.
• Preece, A. D. et al. 2012. Tasking and sharing sensing assets using controlled natural language. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III Baltimore, ML 23 April 2012. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). SPIE SPIE. , pp.838905. (10.1117/12.918839)

2011

• Chen, F. et al., 2011. Broadcast scheduling with data bundles. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II Orlando, FL 26 April 2011. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). SPIE. , pp.80470W. (10.1117/12.886648)
• Hardisty, A. et al. 2011. Bridging two translation gaps: a new informatics research agenda for telemonitoring of chronic disease. International Journal of Medical Informatics 80 (10), pp.734-744. (10.1016/j.ijmedinf.2011.07.002)
• Peirce, S. C. et al. 2011. Designing and implementing telemonitoring for early detection of deterioration in chronic disease: defining the requirements. Health informatics journal 17 (3), pp.173-190. (10.1177/1460458211409717)
• Pizzocaro, D. et al. 2011. Demo: A distributed architecture for heterogeneous multi sensor-task allocation. Presented at: 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS) Barcelona, Spain 27-29 June 2011. 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS). , pp.1-2. (10.1109/DCOSS.2011.5982143)
• Sensoy, M. et al., 2011. Resource determination and allocation in sensor networks: A hybrid approach. The Computer Journal 54 (3), pp.356-372. (10.1093/comjnl/bxq015)
• Woznowski, P. and Preece, A. D. 2011. Rule-Based semantic sensing. Presented at: Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules (RuleML 2011@IJCAI) Barcelona, Spain 2011. Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules. , pp.9-16.

2010

• Hopfe, C. et al. 2010. Natural Language Processing and Information Systems: 15th International Conference on Applications of Natural Language to Information Systems, Cardiff, UK, June 2010, Proceedings. Lecture Notes in Computer Science / Information Systems and Applications Vol. 6177Berlin: Springer. (10.1007/978-3-642-13881-2)
• Al-Dossari, H. , Shao, J. and Preece, A. D. 2010. Handling asynchronous data in assessing QoS over multiple attributes. Presented at: IEEE International Conference on Service-Oriented Computing and Applications Perth, Australia 13-15 December 2010. IEEE International Conference on Service-Oriented Computing and Applications (SOCA) 2010 Perth, WA, 13-15 Dec. 2010. Piscataway, NJ: IEEE(10.1109/SOCA.2010.5707145)
• Al-Dossari, H. , Shao, J. and Preece, A. D. 2010. QoS assessment over multiple attributes. Presented at: 2010 IEEE 10th International Conference on Computer and Information Technology (CIT) Bradford, UK2010 IEEE 10th International Conference on Computer and Information Technology (CIT). , pp.1456-1461. (10.1109/CIT.2010.260)
• Johnson, M. P. et al., 2010. Sensor-mission assignment in constrained environments. IEEE Transactions on Parallel and Distributed Systems 21 (11), pp.1692-1705. (10.1109/TPDS.2010.36)

2009

• de Mel, G. et al., 2009. Flexible resource assignment in sensor networks: a hybrid reasoning approach. Presented at: 1st SemSensWeb2009 Workshop on the Semantic Sensor Web Heraklion, Crete 1 June 2009. Published in: Corcho, O. , Hauswirth, M. and Koubarakis, M. eds. Proceedings of the 1st SemSensWeb2009 Workshop on the Semantic Sensor Web, Collocated with ESWC 2009, Heraklion, Greece, 1 June 2009. Vol. 468.CEUR Workshop Proceedings Sun SITE Central Europe
• de Mel, G. et al., 2009. Flexible Resource Assignment in Sensor Networks : A Hybrid Reasoning Approach. Presented at: 1st International Workshop on the Semantic Sensor Web (SemSensWeb) Heraklion, Crete, Greece 2009. , pp.1-15.
• Embury, S. M. et al., 2009. Incorporating domain-specific information quality constraints into database queries. Journal of Data and Information Quality 1 (2) 11. (10.1145/1577840.1577846)
• Preece, A. D. et al. 2009. Knowledge-Driven Agile Sensor-Mission Assignment. Presented at: 3rd Annual Conference of the International Technology Alliance (ACITA) University of Maryland 2009. , pp.1-8.
• Rowaihy, H. et al., 2009. Detection and localization sensor assignment with exact and fuzzy locations. Lecture Notes in Computer Science 5516 , pp.28-43. (10.1007/978-3-642-02085-8_3)
• Rowaihy, H. et al., 2009. Exact and Fuzzy Sensor-Task Assignment. Presented at: Proc 3rd Annual Conference of the International Technology Alliance (ACITA) University of Maryland 2009. , pp.1-8.

2008

• Gomez, M. et al., 2008. An Ontology-Centric Approach to Sensor-Mission Assignment. Lecture Notes in Computer Science 5268 , pp.347-363. (10.1007/978-3-540-87696-0_30)
• Johnson, M. P. et al., 2008. Frugal Sensor Assignment. Lecture Notes in Computer Science 5067 , pp.219-236. (10.1007/978-3-540-69170-9_15)
• Masato, D. , Chalmers, S. and Preece, A. D. 2008. Player collaboration in virtual environments using hierarchical task network planning. Presented at: AI-2007: 27th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2007 Cambridge, UK 10-12 December 2007. Applications and Innovations in Intelligent Systems XV: Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artifcial Intelligence. London: Springer. , pp.203-216. (10.1007/978-1-84800-086-5_15)
• Pignotti, E. et al., 2008. Enhancing workflow with a semantic description of scientific intent. Presented at: 5th European Semantic Web Conference Tenerife, Canary Islands, Spain 1-5 June 2008. Published in: Bechhofer, S. et al., The Semantic Web: research and applications: 5th European Semantic Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June 1-5, 2008: proceedings. Lecture notes in computer science Vol. 5021. New York: Springer-Verlag. , pp.644-658.
• Pignotti, E. et al., 2008. A semantic workflow mechanism to realise experimental goals and constraints. Presented at: 3rd Workshop on Workflows in Support of Large-Scale Science Austin, TX, USA 17 November 2008. Third Workshop on Workflows in Support of Large-Scale Science, 2008 (WORKS 2008), Austin, TX, 17 November 2008. Piscataway, NJ: IEEE(10.1109/WORKS.2008.4723962)
• Pizzocaro, D. , Chalmers, S. and Preece, A. D. 2008. Sensor assignment in virtual environments using constraint programming. Presented at: 27th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Cambridge, UK 10-12 December 2007. Published in: Ellis, R. , Allen, T. and Petridis, M. eds. Applications and Innovations in Intelligent Systems XV Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer. , pp.333-338. (10.1007/978-1-84800-086-5_27)
• Pizzocaro, D. et al. 2008. Maximizing utility of sensor-mission assignment with uncertain demands. Presented at: 2nd Annual Conference of the International Technology Alliance (ACITA) 2008 London, UK 16-18 September 2008.
• Pizzocaro, D. et al. 2008. A knapsack approach to sensor-mission assignment with uncertain demands. Presented at: Unmanned/unattended sensors and sensor networks V Cardiff, UK 16-18 September 2008. Published in: Carapezza, E. M. ed. Unmanned/Unattended Sensors and Sensor Networks V, Cardiff, Wales, United Kingdom, 16–18 September 2008. Proceedings of SPIE Vol. 7112. Bellingham, WA: SPIE. , pp.711205. (10.1117/12.799859)
• Preece, A. D. et al. 2008. A semantic web approach to handling soft constraints in virtual organisations. Electronic Commerce Research and Applications 7 (3), pp.264-273. (10.1016/j.elerap.2008.03.002)
• Preece, A. D. et al. 2008. Matching sensors to missions using a knowledge-based approach. Presented at: Defense transformation and net-centric systems 2008 Orlando, FL, USA 18-20 March 2008. Published in: Suresh, R. ed. Defense Transformation and Net-Centric Systems 2008, Orlando, Florida, USA, 18–20 March 2008. Proceedings of SPIE Vol. 6981. Bellingham, WA: SPIE. , pp.698109. (10.1117/12.782648)
• Preece, A. D. et al. 2008. Sensor-mission assignment: a scenario-driven walkthrough. Presented at: 2nd Annual Conference of the International Technology Alliance (ACITA) 2008 London, UK 16-18 September 2008.
• Preece, A. D. et al. 2008. An ontology-based approach to handling information quality in e-Science. Concurrency and Computation: Practice and Experience 20 (3), pp.253-264. (10.1002/cpe.1195)
• Preece, A. D. et al. 2008. Reasoning and Resource Allocation for Sensor-Mission Assignment in a Coalition Context. Presented at: Military Communications Conference, 2008. MILCOM 2008. IEEE San Diego, CA 16-19 Nov. 2008. , pp.1-7. (10.1109/MILCOM.2008.4753114)
• Rowaihy, H. et al., 2008. Utility-based joint sensor selection and congestion control for task-oriented WSNs. Presented at: 42nd Asilomar Conference on Signals, Systems & Computers Pacific Grove, CA 26-29 October 2008. Published in: Matthews, M. B. ed. Conference record of the 42nd Asilomar Conference on Signals, Systems and Computers October 26-29, 2008, Pacific Grove, California. Los Alamitos, CA: IEEE. , pp.1165-1169. (10.1109/ACSSC.2008.5074598)
• Smart, P. R. et al., 2008. Holistan revisited: demonstrating agent- and knowledge-based capabilities for future coalition military operations. Presented at: 2nd Annual Conference of the International Technology Alliance (ACITA) 2008 London, UK 16-18 September 2008.
• Stead, D. A. et al., 2008. Information quality in proteomics. Briefings in Bioinformatics 9 (2), pp.174-188. (10.1093/bib/bbn004)

2007

• Allen, J. et al., 2007. Managing collaboration in hybrid-agent teams. Presented at: 1st Annual Conference of the International Technology Alliance (ACITA 2007) Maryland, USA 25-27 September 2007.
• Chorley, A. et al., 2007. Tools for tracing evidence in social science. Presented at: 3rd International Conference on e-Social Science Ann Arbor, MI, USA 7-9 October 2007.
• Edwards, P. et al., 2007. Using the grid to support evidence-based policy assessment in social science. Presented at: UK e-Science All Hands Meeting 2007 Nottingham, UK 10-13 September 2007. Published in: Cox, S. J. ed. Proceedings of the UK e-Science All Hands Meeting 2007. Scotland, UK: National e-Science centre. , pp.345-352.
• McKenzie, C. , Preece, A. D. and Gray, P. 2007. A Semantic Web Blackboard System. Presented at: AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Cambridge, UK 11-13 December 2006. Published in: Bramer, M. , Coenen, F. and Tuson, A. eds. Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer. , pp.275-288. (10.1007/978-1-84628-663-6_20)
• Missier, P. et al., 2007. Managing information quality in e-science: the qurator workbench. Presented at: ACM SIGMOD International Conference on Management of Data Beijing, China 11-14 June 2007. SIGMOD '07 Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. New York: ACM. , pp.1150-1152. (10.1145/1247480.1247638)
• Oren, N. , Norman, T. J. and Preece, A. D. 2007. Argumentation based contract monitoring in uncertain domains. Presented at: 20th International Joint Conference on Artificial Intelligence (IJCAI-07) Hyderabad, India 6-12 January 2007. Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07). Palo Alto, CA: Association for the Advancement of Artificial Intelligence (AAAI). , pp.1434-1439.
• Oren, N. , Norman, T. J. and Preece, A. D. 2007. Evidential reasoning in bipolar argumentation frameworks. Presented at: Fourth International Workshop on Argumentation in Multi-Agent Systems (ArgMAS 2007) Honolulu, HI, USA 15 May 2007.
• Oren, N. , Norman, T. J. and Preece, A. D. 2007. Subjective logic and arguing with evidence. Artificial Intelligence 171 (10-15), pp.838-854. (10.1016/j.artint.2007.04.006)
• Oren, N. , Preece, A. D. and Norman, T. J. 2007. Argument Based Contract Enforcement. Presented at: AI-2006: The Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Cambridge, UK 11-13 December 2006. Published in: Bramer, M. , Coenen, F. and Tuson, A. eds. Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer. , pp.145-158. (10.1007/978-1-84628-663-6_11)
• Pignotti, E. et al., 2007. Semantic workflow management for e-social science. Presented at: The 3rd International Conference on E-Social Science Ann Arbor. MI 7-9 October 2007.
• Polhill, J. G. et al., 2007. A semantic grid service for experimentation with an agent-based model of land-use change. JASSS - The Journal of Artificial Societies and Social Simulation 10 (2) 2.
• Potter, S. et al., 2007. The application of advanced knowledge technologies for emergency response. Presented at: th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2007) Delft, The Netherlands 13-16 May 2007. Published in: Van de Walle, B. , Burghardt, P. and Nieuwenhuis, C. eds. Proceedings of the 4th International ISCRAM Conference. ISCRAM. , pp.361-368.
• Preece, A. D. , Chalmers, S. and McKenzie, C. 2007. A reusable commitment management service using Semantic Web technology. Knowledge-based systems 20 (2), pp.143-151. (10.1016/j.knosys.2006.11.011)
• Preece, A. D. et al. 2007. An ontology-based approach to sensor-mission assignment. Presented at: 1st Annual Conference of the International Technology Alliance (ACITA 2007) Maryland, USA 25-27 September 2007.
• Sukthankar, G. et al., 2007. Towards a model of agent-assisted team search. Presented at: 1st Annual Conference of the International Technology Alliance (ACITA 2007) Maryland, USA 25-27 September 2007.

2006

• Kollingbaum, M. J. et al., 2006. Norm refinement: Informing the re-negotiation of contracts. Presented at: Coordination, Organization, Institutions and Norms in Agent Systems - COIN @ ECAI '06 Riva del Garda, Italy 28 August 2006.
• McKenzie, C. , Preece, A. and Gray, P. D. 2006. Implementing a Semantic Web Blackboard System using Jena. Presented at: JUC2006: the Jena User Conference Bristol, UK 10-11 May 2006.
• McKenzie, C. , Preece, A. D. and Gray, P. 2006. Semantic Web Reasoning Using a Blackboard System. Lecture Notes in Computer Science 4187 , pp.204-218. (10.1007/11853107_15)
• Missier, P. et al., 2006. Quality views: capturing and exploiting the user perspective on data quality. Presented at: 32nd International Conference on Very Large Data Bases Seoul, Korea 12-15 September 2006. Published in: Dayal, U. ed. VLDB '06: Proceedings of the 32nd International Conference on Very Large Databases. NewYork, NY: Association for Computing Machinery. , pp.977-988.
• Nguyen, D. et al., 2006. Delivering services by building and running virtual organisations. BT Technology Journal 24 (1), pp.141-152. (10.1007/s10550-006-0029-6)
• Oren, N. , Norman, T. J. and Preece, A. D. 2006. A utility and information based heuristic for argumentation. Presented at: CMNA 06: 6th Workshop on Computational Models of Natural Argument Riva del Garda, Italy 28-29 August 2006.
• Oren, N. , Norman, T. J. and Preece, A. D. 2006. Arguing with Confidential Information. Presented at: ECAI 2006: 17th European Conference on Artificial Intelligence Riva del Garda, Italy 29 August - 1 September 2006. Published in: Brewka, G. et al., ECAI 2006: 17th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems (PAIS 2006): proceedings. Vol. 141.Frontiers in Artificial Intelligence and Applications Amsterdam: IOS Press. , pp.280-284.
• Oren, N. , Norman, T. J. and Preece, A. D. 2006. Loose Lips Sink Ships: a Heuristic for Argumentation. Presented at: Third International Workshop on Argumentation in Multi-Agent Systems (ArgMAS 2006) Hakodate, Japan 8 May 2006.
• Oren, N. , Preece, A. D. and Norman, T. J. 2006. A Simple Argumentation Based Contract Enforcement Mechanism. Lecture Notes in Computer Science 4149 , pp.347-359. (10.1007/11839354_25)
• Preece, A. D. et al. 2006. Handling soft constraints in the Semantic Web architecture. Presented at: RoW2006 Reasoning on the Web. 15th International World Wide Web conference Edinburgh, UK 22 May 2006.
• Preece, A. D. et al. 2006. Towards the Management of Information Quality in Proteomics. Presented at: 19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006 Salt Lake City, UT, USA 22-23 June 2006. Published in: Lee, D. J. et al., 19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006 - Proceedings. Los Alamitos, CA: IEEE. , pp.936-940. (10.1109/CBMS.2006.160)
• Preece, A. D. et al. 2006. Managing information quality in e-Science using Semantic Web technology. Lecture Notes in Computer Science 4011 , pp.472-486. (10.1007/11762256_35)
• Stead, D. , Preece, A. D. and Brown, A. J. P. 2006. Universal metrics for quality assessment of protein identifications by mass spectrometry. Molecular & Cellular Proteomics 5 (7), pp.1205-1211. (10.1074/mcp.M500426-MCP200)

2005

• Chen-Burger, Y. et al., 2005. Workflow collaboration with constraint solving capabilities. Expert Update 8 (1), pp.48-60.
• Edwards, P. et al., 2005. Lessons learned from deployment of a social simulation tool to the Semantic Grid. Presented at: First International Conference on eSocial Science Manchester, UK 22-24 June 2005.
• Missier, P. et al., 2005. Managing information quality in e-Science: A case study in Proteomics. Lecture Notes in Computer Science 3770 , pp.423-432. (10.1007/11568346_45)
• Oren, N. , Preece, A. D. and Norman, T. 2005. Service level agreements for Semantic Web Agents. Presented at: AAAI Fall Symposium on Agents and the Semantic Web Arlington, VA, USA 3-6 November 2005. , pp.47-54.
• Patel, J. et al., 2005. Agent-based virtual organisations for the Grid. Presented at: AAMAS '05 - Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Utrecht, Netherlands, July 25-29 2005 Utrecht, Netherlands 25-29 July 2005. AAMAS '05 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. , pp.1151-1152. (10.1145/1082473.1082668)
• Patel, J. et al., 2005. Monitoring, policing and trust for gridbBased virtual organisations. Presented at: UK e-Science All Hands Meeting 2005 Nottingham, UK 19-22 September 2005. Proceedings of the UK e-Science All Hands Meeting 2005. EPSRC. , pp.891-898.
• Patel, J. et al., 2005. Agent-based virtual organisations for the Grid. Multiagent and Grid Systems - Smart Grid Technologies & Market Models 1 (4), pp.237-249.
• Pignotti, E. et al., 2005. Semantic support for computational land-use modelling. Presented at: International Conference on Cluster Computing and the Grid Cardiff, UK 9-12 May 2005. Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International Symposium on. Vol. 2.Piscataway, NJ: Institute of Electrical and Electronics Engineers. , pp.840-847. (10.1109/CCGRID.2005.1558649)
• Pignotti, E. et al., 2005. Providing ontology support for social simulation. Presented at: First International Conference on eSocial Science Manchester, UK 22-24 June 2005.
• Polhill, G. et al., 2005. An ontology for experimentation with a social simulation of land use change. Presented at: ESSA 2005: The third annual conference of the European Social Simulation Association Koblenz, Germany 5-9 September 2005.
• Preece, A. D. et al. 2005. Managing Virtual Organisations on the Grid using agent technology. AgentLink News 17 , pp.14-17.

2004

• Chalmers, S. et al., 2004. Commitment management through constraint reification. Presented at: Third International Joint Conference on Autonomous Agents and Multiagent Systems ( AAMAS 2004 ) New York City, NY, USA 19-23 July 2004. Published in: Jennings, N. R. et al., Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems : AAMAS 2004 : New York City, New York, USA : July 19-23, 2004. Los Alamitos, CA: IEEE Computer Society. , pp.430-437.
• Chen-Burger, Y. et al., 2004. Supporting collaboration through semantic-based workflow and constraint solving. Lecture Notes in Computer Science 3257 , pp.487-488. (10.1007/978-3-540-30202-5_40)
• Grimnes, G. A. , Edwards, P. and Preece, A. D. 2004. Learning meta-descriptions of the FOAF network. Lecture Notes in Computer Science 3298 , pp.152-165. (10.1007/978-3-540-30475-3_12)
• Grimnes, G. A. , Preece, A. D. and Edwards, P. 2004. Learning from semantic flora & fauna. Presented at: AAAI-04 Semantic Web Personalisation Workshop San Jose, CA 25–26 July 2004.
• Norman, T. J. et al., 2004. CONOISE: Agent-based formation of virtual organisations. Presented at: 23rd SGAI International Conference on Innovative Techniques and Applications of AI (AI-2003) Cambridge, UK 15-17 December 2003. Published in: Coenen, F. , Preece, A. D. and Macintosh, A. eds. Research and Development in Intelligent Systems XX : Proceedings of AI2003, the Twenty-Third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence /. BCS Conference Series London: Springer. , pp.353-366.
• Norman, T. J. et al., 2004. Agent-based formation of virtual organisations. Knowledge-based systems 17 (2-4), pp.103-111. (10.1016/j.knosys.2004.03.005)
• Oren, N. et al., 2004. Policing virtual organizations. Presented at: Second European Workshop on Multi-Agent Systems Barcelona, Spain 16-17 December 2004.
• Pignotti, E. et al., 2004. FEARLUS-G: A semantic grid service for land-use modelling. Presented at: ECAI 2004 Workshop on Semantic Intelligent Middleware for the Web and the Grid Valencia, Spain 23-27 August 2004.
• Shao, J. et al. 2004. Supporting formation and operation of virtual organisations in a grid environment. Presented at: UK e-Science All Hands Meeting 2004 (AHM2004) Nottingham, UK 31 August – 3 September 2004. Published in: Cox, S. J. ed. Proceedings of the UK e-Science All Hands Meeting 2004. The Engineering and Physical Sciences Research Council (EPSRC). , pp.376-383.

2001

• Preece, A. D. et al. 2001. Designing for scalability in a knowledge fusion system. Knowledge-based Systems 14 (3-4), pp.173-179. (10.1016/S0950-7051(01)00112-5)
• Preece, A. D. et al. 2001. KRAFT: an agent architecture for knowledge fusion. International journal of cooperative information systems 10 (1 - 2), pp.171-195. (10.1142/S0218843001000308)

2000

• Preece, A. D. et al. 2000. The KRAFT architecture for knowledge fusion and transformation. Knowledge-Based Systems 13 (2-3), pp.113-120. (10.1016/S0950-7051(00)00052-6)