A search engine for RDF metadata

This paper presents a search engine for RDF metadata. Existing search facilities in this environment only support exact queries. We argue that a fuzzy approach as known from classic (full-text) Information Retrieval, providing fuzzy result sets ranked by relevance, is also desirable for metadata-based searches. Consequently, we develop an information retrieval model based on the similarity of RDF descriptions. The role of an ontology and implicit information that can be inferred from it will be discussed and the implementation within a knowledge portal prototype will be presented

[1]  Günther Pernul,et al.  Ontology-based integration of OLAP and information retrieval , 2003, 14th International Workshop on Database and Expert Systems Applications, 2003. Proceedings..

[2]  Frank van Harmelen,et al.  Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema , 2002, SEMWEB.

[3]  Nenad Stojanovic An Explanation-Based Ranking Approach for Ontology-Based Querying , 2003, DEXA.

[4]  Timothy W. Finin,et al.  Information retrieval on the semantic web , 2002, CIKM '02.

[5]  Oh,et al.  SEAL — A Framework for Developing SEmantic PortALs , 2001 .

[6]  Christine D. Piatko,et al.  The JHU/APL HAIRCUT System at TREC-8 , 1999, TREC.

[7]  Josef Küng,et al.  VQS-a vague query system prototype , 1997, Database and Expert Systems Applications. 8th International Conference, DEXA '97. Proceedings.

[8]  Jeremy J. Carroll,et al.  Matching RDF Graphs , 2002, SEMWEB.