Abstract
This article presents a new approach in order to indexa Web site. It uses ontologies and natural language techniques for information retrieval on the Internet. The main goal is to build a structured indexof the Web site. This structure is given by a terminology oriented ontology of a domain which is chosen a priori according to the content of the Web site. The indexing process uses improved natural language technics.
Preview
Unable to display preview. Download preview PDF.
References
G. A. Miller. Wordnet: an online lexical database. Int. Journal of Lexicography, 3(4):235–312, 1990.
A. Gomez-Perez. Dèveloppements rècents en matiére de conception, de maintenance et d’utilisation des ontologies. In revue terminologies nouvelles, editor, TIA, pages 9–20, Nantes, France, 1999.
D. Fensel, S. Decker, M. Erdmann, and R. Studer. Ontobroker: Or how to enable intelligent access to the WWW. In KAW, Banff, Canada, 1998.
S. Luke, L. Spector, and D. Rager. Ontology-based knowledge discovery on the world-wide-web. In the workshop on internet-based information system,AAAI’96, Portland, Oregon, 1996.
E. Brill. Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging. Computational linguistics, 21, 1995.
J. H. Lee, M. H. Kim, and Y. J. Lee. information retrieval based on conceptual distance in IS-A hierarchies. journal of documentation, 49(2):188–207, 1993.
P. Resnik. Semantic similarity in a taxonomy: an information based measure and its application to problems of ambiguity in natural language. Journal of artificial intelligence research, 11, 1999.
Z. Wu and M. Palmer. Verb semantics and lexical selection. In the 32nd annual meeting of the association for computational linguistics, Las Cruses, New Mexico, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Desmontils, E., Jacquin, C. (2001). Indexing a Web Site to Highlight Its Content. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_42
Download citation
DOI: https://doi.org/10.1007/3-540-45490-X_42
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42730-8
Online ISBN: 978-3-540-45490-8
eBook Packages: Springer Book Archive