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Proposing of modular system for web information extraction

Published: 18 June 2009 Publication History

Abstract

The paper discusses dimensions and parameters of web information extraction such as level of automatism, type of source document related to its structuring and dependence on extractable domain. In second half we analyze extraction process in more detail according to considered dimensions, propose its phases and discuss modules for each one and interfaces between phases.

References

[1]
M. Labsky, V. Svatek, M. Nekvasil, and D. Rak. The ex project: Web information extraction using extraction ontologies. In PriCKL'07, ECML/PKDD Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery, 2007.
[2]
Li Ding et al., Swoogle: A Search and Metadata Engine for the Semantic Web, Proceedings of the 13th ACM Conf. on Information and Knowledge Management, 2004.
[3]
Maruščák D., Novotný R., Vojtáš P., Unsupervised Structured Web Data and Attribute Value Extraction, Proc. 8th. Annual Conf. Znalosti 2009, Brno.
[4]
A Survey of Web Information Extraction Systems, 2006, Kayed, Mohammed and Shaalan, Khaled F., In IEEE Trans. on Knowl. and Data Eng. Vol. 18, 10/2006
[5]
Laender, A. H. F., Ribeiro-Neto, B. and DA Silva, A., S., DEByE -- Data Extraction by Example. Data and Knowledge Engeneering

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CompSysTech '09: Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
June 2009
653 pages
ISBN:9781605589862
DOI:10.1145/1731740
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2009

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Author Tags

  1. semantic web
  2. web information annotation
  3. web information extraction

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CompSysTech '09

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Overall Acceptance Rate 241 of 492 submissions, 49%

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