Linking documents to encyclopedic knowledge

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Linking documents to encyclopedic knowledge
Authors: Andras Csomai, Rada Mihalcea [edit item]
Citation: IEEE Intelligent Systems 23 (5): 34-41. 2008 October.
Publication type: Journal article
Peer-reviewed: Yes
Database(s):
DOI: 10.1109/MIS.2008.86.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Linking documents to encyclopedic knowledge is a publication by Andras Csomai, Rada Mihalcea.


[edit] Abstract

Wikipedia has become one of the largest online repositories of encyclopedic knowledge. Wikipedia editions are available for more than 200 languages, with entries varying from a few pages to more than 1 million articles per language. Embedded in each Wikipedia article is an abundance of links connecting the most important words or phrases in the text to other pages, thereby letting users quickly access additional information. An automatic text-annotation system combines keyword extraction and word-sense disambiguation to identify relevant links to Wikipedia pages.

[edit] Research questions

"Wikipedia can serve as a resource for automatic keyword extraction and word-sense disambiguation. We combine these two functions into a system, which we refer to as Wikify, that automatically annotates Web pages following Wikipedia’s guidelines. Specifically, given an input document, the Wikify system identifies the important concepts in the text and then links them to the corresponding Wikipedia pages."

Research details

Topics: Information extraction [edit item]
Domains: Computer science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Sample data [edit item]
Theories: "Undetermined" [edit item]
Research design: Experiment [edit item]
Data source: Experiment responses, Wikipedia pages [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Article [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

"The immediate access to relevant encyclopedic information seems to improve the quality of the knowledge acquired and the time needed to obtain it. Although we don’t wish to discuss the reliability of information in Wikipedia here, our results suggest that providing students with information relevant to the study topic and putting such information within easy reach through hyperlinking can increase effectiveness in pedagogical tasks."

[edit] Comments


Further notes[edit]

Facts about "Linking documents to encyclopedic knowledge"RDF feed
AbstractWikipedia has become one of the largest onWikipedia has become one of the largest online repositories of encyclopedic knowledge. Wikipedia editions are available for more than 200 languages, with entries varying from a few pages to more than 1 million articles per language. Embedded in each Wikipedia article is an abundance of links connecting the most important words or phrases in the text to other pages, thereby letting users quickly access additional information. An automatic text-annotation system combines keyword extraction and word-sense disambiguation to identify relevant links to Wikipedia pages.dentify relevant links to Wikipedia pages.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
ConclusionThe immediate access to relevant encyclopeThe immediate access to relevant encyclopedic

information seems to improve the quality of the knowledge acquired and the time needed to obtain it. Although we don’t wish to discuss the reliability of information in Wikipedia here, our results suggest that providing students with information relevant to the study topic and putting such information within easy reach through hyperlinking can increase effectiveness in pedagogical tasks.crease effectiveness in

pedagogical tasks.
Data sourceExperiment responses + and Wikipedia pages +
Doi10.1109/MIS.2008.86 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Linking%2Bdocuments%2Bto%2Bencyclopedic%2Bknowledge%22 +
Has authorAndras Csomai + and Rada Mihalcea +
Has domainComputer science +
Has topicInformation extraction +
Issue5 +
MonthOctober +
Pages34-41 +
Peer reviewedYes +
Publication typeJournal article +
Published inIEEE Intelligent Systems +
Research designExperiment +
Research questionsWikipedia can serve as a resource for autoWikipedia can serve as a resource for automatic keyword extraction and word-sense disambiguation. We combine these two functions into a system, which we refer to as Wikify, that automatically annotates Web pages following Wikipedia’s guidelines. Specifically, given an input document, the Wikify system identifies the important concepts in the text and then links them to the corresponding Wikipedia pages.them to the corresponding Wikipedia pages.
Revid10,860 +
TheoriesUndetermined
Theory typeDesign and action +
TitleLinking documents to encyclopedic knowledge
Unit of analysisArticle +
Urlhttp://dx.doi.org/10.1109/MIS.2008.86 +
Volume23 +
Wikipedia coverageSample data +
Wikipedia data extractionDump +
Wikipedia languageEnglish +
Wikipedia page typeArticle +
Year2008 +