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.
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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|Item Type:||Conference Paper|
|Keywords:||Frequent Mining, Link Mining, Wikipedia, INEX|
|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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