TY - CHAP

T1 - Ontology-based automatic classification for Web pages

T2 - 3rd International Conference on Web Information Systems Engineering - WISE 2002

AU - Prabowo, R.

AU - Jackson, M.

AU - Burden, P.

AU - Knoell, H. D.

N1 - Conference code: 3

PY - 2002

Y1 - 2002

N2 - In recent years, we have witnessed 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 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 coverage ratio due to incompleteness of the ontologies used.

AB - In recent years, we have witnessed 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 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 coverage ratio due to incompleteness of the ontologies used.

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=84961208893&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/40db05e1-cfef-37df-b6ee-5f28b061611f/

U2 - 10.1109/WISE.2002.1181655

DO - 10.1109/WISE.2002.1181655

M3 - Article in conference proceedings

AN - SCOPUS:84961208893

SN - 0769517668

SN - 9780769517667

SP - 182

EP - 191

BT - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering

A2 - Ng, Wee Keong

A2 - Ling, Tok Wang

A2 - Goh, Angela

A2 - Dayal, Umeshwar

A2 - Bertino, Elisa

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 December 2002 through 14 December 2002

ER -