Ontology-Based Semantic Online Classification of Documents : Supporting Users in Searching the Web

In this paper we describe first results of our research on the categorization of texts in order to disambiguate user queries. The dis cussed methods are based on a combination of indexingand ontology-based information retrieval techniques in an interactive retrieval system. We present an approach to classify search results by mapping them to semantic classes that are defined by the senses of a query term. The criteria defining each class or ‘sense folder’ are derived from the concepts of an assigned ontology, here Multiwordnet. By annotating each element of a result set with the ‘sense folder’ it is classified in, the user gets additional information about each item – the specific search term is disambiguated with respect to the underlying document – and can thus decide more easily if the document is relevant or not for his query.

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