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.

View at publisher


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.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

386 since deposited on 29 Jan 2010
7 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 30076
Item Type: Conference Paper
Refereed: Yes
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.

Deposited On: 29 Jan 2010 01:17
Last Modified: 18 Jul 2014 02:18

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page