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Extracting content holes by comparing community-type content with Wikipedia
Abstract Purpose – Community-type content that are Purpose – Community-type content that are social network services and blogs are maintained by communities of people. Occasionally, community members do not understand the nature of the content from multiple perspectives, and so the volume of information is often inadequate. The authors thus consider it necessary to present users with missing information. The purpose of this paper is to search for the content “hole” where users of community-type content missed information. Design/methodology/approach – The proposed content hole is defined as different information that is obtained by comparing community-type content with other content, such as other community-type content, other conventional web content, and real-world content. The paper suggests multiple types of content holes and proposes a system that compares community-type content with Wikipedia articles and identifies the content hole. The paper first identifies structured keywords from the community-type content, and extracts target articles from Wikipedia using the keywords. It then extracts other related articles from Wikipedia using the link graph. Finally, it compares community-type content with the articles in Wikipedia and extracts and presents content holes. Findings – Information retrieval looks for similar data. In contrast, a content-hole search looks for information that is different. This paper defines the type of content hole on the basis of viewpoints. The proposed viewpoints are coverage, detail, semantics, and reputation. Originality/value – The paper proposes a system for extracting coverage content holes. The system compares community-type content with Wikipedia and extracts content holes in the community-type content.ntent holes in the community-type content.
Added by wikilit team Yes  +
Collected data time dimension Cross-sectional  +
Comments Wikipedia pages and other documents
Conclusion The conclusions of this article consist mainly of the results reported by users interacting with the proposed system. Advantages and disadvantages are reported.
Data source Experiment responses  + , Wikipedia pages  +
Doi 10.1108/17440081011070178 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Extracting%2Bcontent%2Bholes%2Bby%2Bcomparing%2Bcommunity-type%2Bcontent%2Bwith%2BWikipedia%22  +
Has author Akiyo Nadamoto + , Eiji Aramaki + , Takeshi Abekawa + , Yohei Murakami +
Has domain Computer science +
Has topic Reading support +
Issue 3  +
Month August  +
Pages 248-260  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in International Journal of Web Information Systems +
Publisher Emerald Group Publishing +
Research design Experiment  +
Research questions Community-type content that are social netCommunity-type content that are social network services and blogs are maintained by communities of people. Occasionally, community members do not understand the nature of the content from multiple perspectivesm and so the volume of information is often inadequate. The authors thus consider it necessary to present users with missing information. The purpose of this paper is to search for the content gile where users of communty-type content missed information... The paper first identifies structured keywords from the community-type content, and extracts target articles from Wikipedia using the keywords. It then extracts other related articles from wikipedia using the link graph. Finally, it compares community-type content with the articles in wikipedia and extracts and present content holes.ia and extracts and present content holes.
Revid 11,130  +
Theories Undetermined
Theory type Design and action  +
Title Extracting content holes by comparing community-type content with Wikipedia
Unit of analysis Article  +
Url http://www.emeraldinsight.com/journals.htm?articleid=1881407&show=abstract  +
Volume 6  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  +
Year 2010  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:27:56  +
Categories Reading support  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:53:48  +
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