Abstract
This paper presents an ontology-based multi-agent information retrieval system architecture. The aim of this system is to help Web users gather the right information based on the interpretation of the Web at the semantic level. The system consists of different types of agents that work together to find and process information and disseminate it to Web users in semantically encoded form. Interface agents interact with users, receive users’ queries and display results. Semantic agents extract the semantics of information retrieved from web documents, and provide the knowledge in ontologies to other agents. Service agents manage the ontology-knowledge base. Resources agents locate and retrieve the documents from distributed information resource. To demonstrate the facility of the proposed system, a prototype is being developed using Java, Zeus toolkit [5] and Protégé-2000 [6].
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WordNet®, http://www.cogsci.princeton.edu/~wn
Zeus toolkit, http://www.btexact.com/projects/agents/zeus/
Protégé (2000), http://protege.stanford.edu/index.html
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© 2004 Springer-Verlag Berlin Heidelberg
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Wang, Y., Shakshuki, E. (2004). A Multi-agent System for Semantic Information Retrieval. In: Tawfik, A.Y., Goodwin, S.D. (eds) Advances in Artificial Intelligence. Canadian AI 2004. Lecture Notes in Computer Science(), vol 3060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24840-8_63
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DOI: https://doi.org/10.1007/978-3-540-24840-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22004-6
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