Querying the Semantic Web with Corese Search Engine

This paper presents an ontology-based approach for web querying, using semantic metadata. We propose a query language based on ontologies and emphasize its ability to express approximate queries, useful for an efficient information retrieval on the web. We present the Corese search engine dedicated to RDF(S) metadata and illustrate it through several real-world applications.

• Type: Conference
• Year: 2004
• Where: ECAI
• Authors: Olivier Corby, Rose Dieng-Kuntz, Catherine Faron-Zucker
• Keywords: Artificial Intelligence, Corese Search Engine, ECAI 2004, Efficient Information Retrieval, Semantic Metadata