2006 | OriginalPaper | Buchkapitel
Towards Distributed Information Retrieval in the Semantic Web: Query Reformulation Using the oMAP Framework
verfasst von : Umberto Straccia, Raphaël Troncy
Erschienen in: The Semantic Web: Research and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper introduces a general methodology for performing distributed search in the Semantic Web. We propose to define this task as a three steps process, namely
resource selection
,
query reformulation/ontology alignment
and
rank aggregation/data fusion
. For the second problem, we have implemented
oMAP
, a formal framework for automatically aligning OWL ontologies. In oMAP, different components are combined for finding suitable mapping candidates (together with their weights), and the set of rules with maximum matching probability is selected. Among these components, traditional terminological-based classifiers, machine learning-based classifiers and a new classifier using the structure and the semantics of the OWL ontologies are proposed. oMAP has been evaluated on international test sets.