Automated metadata and instance extraction from news Web sites

Srinivas Vadrevu, Saravanakumar Nagarajan, Fatih Gelgi, Hasan Davulcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Over the past few years World Wide Web has established as a vital resource for news. With the continuous growth in the number of available news Web sites and the diversity in their presentation of content, there is an increasing need to organize the news related information on the Web and keep track of it. In this paper, we present automated techniques for extracting metadata instance information by organizing and mining a set of news Web sites. We develop algorithms that detect and utilize HTML regularities in the Web documents to turn them into hierarchical semantic structures encoded as XML. The tree-mining algorithms that we present identify key domain concepts and their taxonomical relationships. We also extract semi-structured concept instances annotated with their labels whenever they are available. We report experimental evaluation for the news domain to demonstrate the efficacy of our algorithms.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Pages38-41
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 - Compiegne Cedex, France
Duration: Sep 19 2005Sep 22 2005

Publication series

NameProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Volume2005

Other

Other2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005
CountryFrance
CityCompiegne Cedex,
Period9/19/059/22/05

ASJC Scopus subject areas

  • Engineering(all)

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    Vadrevu, S., Nagarajan, S., Gelgi, F., & Davulcu, H. (2005). Automated metadata and instance extraction from news Web sites. In Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005 (pp. 38-41). [1517813] (Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005; Vol. 2005). https://doi.org/10.1109/WI.2005.38