Document (#28384)

Author

Prabowo, R.
Jackson, M.
Burden, P.
Knoell, H.-D.

Title

Ontology-based automatic classification for the Web pages : design, implementation and evaluation

Source

http://csdl.computer.org/comp/proceedings/wise/2002/1766/00/17660182abs.htm

Year

2002

Abstract

In recent years, we have witnessed the continual growth in the use of ontologies in order to provide a mechanism to enable machine reasoning. This paper describes an automatic classifier, which focuses on the use of ontologies for classifying Web pages with respect to the Dewey Decimal Classification (DDC) and Library of Congress Classification (LCC) schemes. Firstly, we explain how these ontologies can be built in a modular fashion, and mapped into DDC and LCC. Secondly, we propose the formal definition of a DDC-LCC and an ontology-classification-scheme mapping. Thirdly, we explain the way the classifier uses these ontologies to assist classification. Finally, an experiment in which the accuracy of the classifier was evaluated is presented. The experiment shows that our approach results an improved classification in terms of accuracy. This improvement, however, comes at a cost in a low overage ratio due to the incompleteness of the ontologies used

Content

Beitrag bei: The Third International Conference on Web Information Systems Engineering (WISE'00) Dec., 12-14, 2002, Singapore, S.182.

Theme

Automatisches Klassifizieren

Object

DDC
LCC

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