knOWLer - Ontological Support for Information Retrieval Systems

Abstract

In addition to the human-readable contents of the shared documents, the new generation of WWW requires machinereadable formalization of data. We present an ontology-based information management system called knOWLer, targeting semantic integration into large-scale information systems. In this paper, we are specially focusing on large-scale information retrieval systems. The semantic is provided through an ontology language (OWL), showing that ontological reasoning can be scaled to sizes of standard IR systems. We propose an information management system for automatic document manipulation based on the semantics added by an ontology to the raw data. The main capabilities of our application are expressivity provided by the ontology language and scalability induced by the persistent storage mechanism.

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Cite this paper

@inproceedings{Ciorascu2003knOWLerO, title={knOWLer - Ontological Support for Information Retrieval Systems}, author={Claudia Ciorascu and Iulian Ciorascu and Kilian Stoffel}, year={2003} }