Top-k List Web Data Extraction from Dynamic Pages: TWD

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Paper Details

Paper Title

Top-k List Web Data Extraction from Dynamic Pages: TWD

Authors

Shital A. Aher, Seema.B.Siledar

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Abstract

The World Wide Web is currently the largest source of information. This large database which contains information in all area but finding particular information or extracting accurate data from web is difficult. This paper is concerned with “top-k” pages, which are web pages that describe a list of k instances of a particular topic or concept. Examples include “the 10 tallest persons in the world”. Top-k list are larger and richer in high quality of data, which is helpful to enrich existing knowledge bases about general concept which are used to answer a facts queries. The extracted lists can also be used as background knowledge for Q/A system. The paper concentrate on an efficient method, called Tag Path Clustering that extracts top-k list from web pages with high performance.

Keywords- top-k list, Candidate picker, ranker, title classifier

Publication Details

Unique Identification Number - IJEDR1504094
Page Number(s) - 566-569
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

Shital A. Aher, Seema.B.Siledar, "Top-k List Web Data Extraction from Dynamic Pages: TWD", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.566-569, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504094.pdf

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