Title :
A search engine for RDF metadata
Author :
Priebe, Torsten ; Schläger, Christian ; Pernul, Günther
Author_Institution :
Dept. of Inf. Syst., Regensburg Univ.
Abstract :
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
Keywords :
fuzzy set theory; information retrieval; meta data; ontologies (artificial intelligence); portals; query processing; search engines; semantic Web; RDF metadata; fuzzy approach; information retrieval; knowledge portal prototype; ontology; query processing; search engine; Databases; Fuzzy sets; Information retrieval; Ontologies; Portals; Power system modeling; Prototypes; Resource description framework; Search engines; Semantic Web;
Conference_Titel :
Database and Expert Systems Applications, 2004. Proceedings. 15th International Workshop on
Conference_Location :
Zaragoza
Print_ISBN :
0-7695-2195-9
DOI :
10.1109/DEXA.2004.1333468
