An Approach for the Ranking of Query Results in the Semantic Web
Nenad Stojanovic
Institute AIFB, University of Karlsruhe, 76128
Karlsruhe, Germany
nst@aifb.uni-karlsruhe.de
Rudi Studer
Institute AIFB, University of Karlsruhe, 76128 Karlsruhe, Germany
FZI
- Research Center for Information Technology at the University of
Karlsruhe, 76131 Karlsruhe, Germany
Ontoprise GmbH, Amalienbadstraße
36, 76227 Karlsruhe, Germany
rst@aifb.uni-karlsruhe.de
Ljiljana Stojanovic
FZI - Research Center for Information
Technology at the University of Karlsruhe, 76131 Karlsruhe, Germany
Ljiljana.Stojanovic@fzi.de
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 Semantic Web 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. We present several analyses about how a
Semantic Web querying mechanism can benefit of using our ranking approach.