A Search Engine for RDF Metadata

Authors:
Torsten Priebe;Christian Schlager;Gunther Pernul
Affiliations:
University of Regensburg, Germany;University of Regensburg, Germany;University of Regensburg, Germany
Venue:
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Year:
2004

Citing 0
Cited 3

A Relation-Based Search Engine in Semantic Web

IEEE Transactions on Knowledge and Data Engineering
SSERank: semantic search engine for page ranking based on the relations weight

International Journal of Metadata, Semantics and Ontologies
Wise search engine based on LSI

ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction

Quantified Score

Hi-index	0.01

Visualization

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.