Unsupervised keyphrase extraction for search ontologies

Authors:
Jon Atle Gulla;Hans Olaf Borch;Jon Espen Ingvaldsen
Affiliations:
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim
Venue:
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Year:
2006

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Abstract

Ontology learning today ranges from simple frequency counting methods to advanced linguistic analyses of sentence structure and word semantics. For ontologies in information retrieval systems, class concepts and hierarchical relationships at the appropriate level of detail are crucial to the quality of retrieval. In this paper, we present an unsupervised keyphrase extraction system and evaluate its ability to support the construction of ontologies for search applications. In spite of its limitations, such a system is well suited to constantly changing domains and captures some interesting domain features that are important in search ontologies. The approach is evaluated against the project management documentation of a Norwegian petroleum company.