IST-2000-29317: EDEN-IW- The Environmental Data Exchange Network for Inland Water
2001-2004 (42 months)
- 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.
- Research and development of a specific application on Inland Water data, i.e. connect a number of relevant databases to the system.
- 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.
- 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.
- 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.
- Stefan Poslad, Principal Investigator at Queen Mary University of London (QMUL), UK, and WP2 Archtiecture WP leader)
- National Environmental Research Institute (NERI), Denmark
- European Dynamics S.A. (ED), Greece
- Office International de l'Eau (IOW), France
- Consiglio Nazionale delle Ricerche (CNR), Italy
- The prototype, where independent software agents operates on a limited number of databases and in a limited number of languages, shows the value of various advanced information technologies for environmental data exchange and thereby eases environmental reporting and planning.
- Data from more than one database can be interrogated at the same time, and the results elaborated in one operation in the EDEN-IW prototype, thus demonstrated the value of the agent technology and the opportunities for linking other data resources into the system. This and other features are shown in the following screenshots from the current prototype.
- The technologies explored and the results obtained, if more fully implemented than in the working prototype, enables the environmental manager to cross compare and use more than one environmental data base at any given time (the current situation) for the benefit of Europe’s environment.
Related to the agent technology, the agents and infrastructure produced can demonstrate to robustly support and enable integration of inland water domain knowledge, they are integrated in open source architecture and they enable and supporting water domain knowledge from distributed heterogeneous sources.
This is a significant and successful result of the research.
An Ontology covering the inland water domain has been developed, permitting queries to 4 databases, which are integrated and mapped against each other. The Ontology written in DAM+OIL and then later converted to OWL covers a significant number of water related indicators, with a multilingual user interface, though queries in the current prototype is limited to the use of a single language.
- The project has successful implementation of agents linked to operations like scaling, aggregating data, presenting and projecting time and presenting uncertainties The implementation is successfully done, scaling, aggregation, presenting and projection in time is possible, while uncertainty representation is still weak.
During the EDEN-IW project access is being facilitated to environmental information using a common controlled reference terminology, tailored to specific needs of the project. Both the controlled terminology and the glossary has been developed even above the level required taking into account also the Waterbase initiative and the Water Framework Directive.
In addition the EDEN-IW project has had influence on the system design two important information systems collecting environmental data for water bodies in Europe under the Water Framework Directive.
Related QMUL Publications (see Stefan's publications)
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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: