Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Querying the semantic web with preferences
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Semantic search components: a blueprint for effective query language interfaces
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Expert Systems with Applications: An International Journal
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One of the vital problems in the searching for information is the ranking of the retrieved results, because users make typically very short queries (2-3 terms) and tend to consider only the first ten results. In traditional IR approaches the relevance of the results is determined only by analysing the underlying information repository (content and hyperlink structure), which leads to the weak relevance model. On the other hand, in the ontology-based IR the querying process is supported by an ontology such that other important sources for determining the relevance of results can be considered: the structure of the underlying domain and the characteristics of the searching process. In this paper we present a novel approach for determining relevance in ontology-based searching for information, which exploits the "full potential" of the semantics of such a semantically-based link structure.