IST-2000-29317: EDEN-IW- The Environmental Data Exchange Network for Inland Water

2001-2004 (42 months)

Research Objectives

  1. Development of advanced agent based technology to underpin rich semantic information exchange across Europe with the additional capability of communicating with other agent systems within an European and global framework, for instance the agent system employed by the US EPA in the Environmental Data Exchange Network.
  2. Research and development of a specific application on Inland Water data, i.e. connect a number of relevant databases to the system.
  3. Enrichment of the possibilities for environmental management by adding new types of intelligent software agents, capable of providing the citizens and decision makers with decision support and knowledge needed to manage complex environmental risk situations related to inland water.
  4. Assurance of efficient and effective semantic management, by developing a relevant, specific Inland Water ontology and specific Inland Water glossaries, supported by two external reference multilingual thesauri, allowing easy extension to multi-language situations.
  5. Serving the public and the user community, which currently consist of European Environment Agency, United States Environmental Protection Agency, United States Department of Defence, United States Department of Energy, European Topic Centre for Water and the Italian Ministry for the Environment.

Participants

Other partners:

Funding

European Union

Achievements

Related QMUL Publications (see Stefan's publications)

  1. Poslad S. and Zuo L. (2008) An Adaptive Semantic Framework to Support Multiple User Viewpoints over Multiple Databases. In Advances in Semantic Media Adaptation and Personalization, Series: Studies in Computational Intelligence, Vol. 93, Wallace, Manolis; Angelides, Marios; Mylonas, Phivos (Eds.), pp 261-284.
  2. Poslad, S., Stjernholm, M., Zuo, L., Huang, X. Review of Models andTechnologies for Database Integration. In: Environmental Data Exchange Network for Inland Water, Haastrup P. , Wurtz J. (Eds), Elsevier, ISBN 978-0-444-52973-2, 2007, pp 51-68.
  3. Poslad, S., Zuo, L., Huang, X. Multi-agent System Technology in Distributed Database Systems. In: Environmental Data Exchange Network for Inland Water, Haastrup P. , Wurtz J. (Eds), Elsevier, ISBN 978-0-444-52973-2, 2007, pp 97-122
  4. Stjernholm, M., Poslad, S., Zuo, L., Sortkjar, O., Huang, X. An Ontology-based Approach for Enhancing Inland Water Information Retrieval from Heterogeneous Databases. In: Environmental Data Exchange Network for Inland Water, Haastrup P. , Wurtz J. (Eds), Elsevier, ISBN 978-0-444-52973-2, 2007, pp 123-144.
  5. Stjernholm M., Poslad S, Zuo L., Sortkjær O., Huang X. The EDEN-IW ontology model for sharing knowledge and water quality data between heterogeneous databases. 18th conf. EnviroInfo 2004 of German Informatics Society (GI), Geneva, Switzerland, 21st-23rd October.
  6. Zuo, L, Poslad S, Huang X. Agent-based Information Sharing and Semantic Information Retrieval from Heterogeneous Databases. Int. Conf Business Knowledge Management, Macao, 26th-28th October 2006.
  7. Zuo L. and Poslad S. A Dynamic Semantic Framework to Support Multiple User Viewpoints during Information Retrieva. 1st Int. Workshop on Semantic Media Adaptation and Personalization (SMAP 2006), December 5-6, Athens, Greece.
  8. Poslad, S., Tan, J.J., Huang, X. and Zuo, L. ‘Middleware for semantic-based security and safety management of open services’, Int. J. Web and Grid Services, 2005, Vol. 1, No. 3/4, pp 305 – 327.

Further work and ongoing work

Two PhD theses resulted from this project: