A search engine for RDF metadata
Torsten Priebe, Christian Schläger, Günther Pernul · Database and Expert Systems Applications · 2004
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