Formalizing the get-specific document classification algorithm

Authors:
Fausto Giunchiglia;Ilya Zaihrayeu;Uladzimir Kharkevich
Affiliations:
Department of Information and Communication Technology, University of Trento, Italy;Department of Information and Communication Technology, University of Trento, Italy;Department of Information and Communication Technology, University of Trento, Italy
Venue:
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Year:
2007

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Abstract

The paper represents a first attempt to formalize the get-specific document classification algorithm and to fully automate it through reasoning in a propositional concept language without requiring user involvement or a training dataset. We follow a knowledge-centric approach and convert a natural language hierarchical classification into a formal classification, where the labels are defined in the concept language. This allows us to encode the get-specific algorithm as a problem in the concept language. The reported experimental results provide evidence of practical applicability of the proposed approach.