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Link-the-Wiki : performance evaluation based on frequent phrases

Chen, Edward, Nayak, Richi, & Geva, Shlomo (2009) Link-the-Wiki : performance evaluation based on frequent phrases. In Advances in Focused Retrieval, Springer Berlin / Heidelberg, Dagstuhl Castle, Germany, pp. 326-336.

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Abstract

In this paper, we discuss our participation to the INEX 2008 Link-the-Wiki track. We utilized a sliding window based algorithm to extract the frequent terms and phrases. Using the extracted phrases and term as descriptive vectors, the anchors and relevant links (both incoming and outgoing) are recognized efficiently.

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ID Code: 30076
Item Type: Conference Paper
Keywords: Frequent Mining, Link Mining, Wikipedia, INEX
DOI: 10.1007/978-3-642-03761-0_33
ISBN: 9783642037603
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Information Technology
Copyright Owner: Copyright 2009 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com
Deposited On: 29 Jan 2010 11:17
Last Modified: 18 Jul 2014 12:18

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