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Extracting named entities and relating them over time based on Wikipedia
Abstract This paper presents an approach to mining This paper presents an approach to mining information relating people, places, organizations and events extracted from Wikipedia and linking them on a time scale. The approach consists of two phases: (1) identifying relevant pages - categorizing the articles as containing people, places or organizations; (2) generating timeline - linking named entities and extracting events and their time frame. We illustrate the proposed approach on 1.7 million Wikipedia articles.pproach on 1.7 million Wikipedia articles.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments We outlined how heuristic based approaches can be used for extracting high quality annotations of Wikipedia articles
Conclusion In this paper we outlined how heuristic baIn this paper we outlined how heuristic based approaches can be used for extracting high quality annotations of Wikipedia articles and that automatic text categorization is a viable way of generalizing the heuristics. We have proposed an approach to that consist of two phases: (1) identifying relevant pages containing people, places or organizations and (2) generating timeline linking named entities via the extracting events and their time frame.he extracting events and their time frame.
Data source Experiment responses  + , Wikipedia pages  +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Extracting%2Bnamed%2Bentities%2Band%2Brelating%2Bthem%2Bover%2Btime%2Bbased%2Bon%2BWikipedia%22  +
Has author Abhijit Bhole + , Blaž Fortuna + , Marko Grobelnik + , Dunja Mladenic +
Has domain Computer science +
Has topic Data mining + , Technical infrastructure +
Issue 4  +
Pages 463-468  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Informatica +
Research design Experiment  +
Research questions This paper presents an approach to mining This paper presents an approach to mining information relating people, places, organizations and events extracted from Wikipedia and linking them on a time scale. The approach consists of two phases: (1) identifying relevant pages - categorizing the articles as containing people, places or organizations; (2) generating timeline - linking named entities and extracting events and their time frame. We illustrate the proposed approach on 1.7 million Wikipedia articles.pproach on 1.7 million Wikipedia articles.
Revid 10,768  +
Theories Undetermined
Theory type Design and action  +
Title Extracting named entities and relating them over time based on Wikipedia
Unit of analysis Article  +
Url http://www.freepatentsonline.com/article/Informatica/176867755.html  +
Volume 31  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:27:56  +
Categories Data mining  + , Technical infrastructure  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:27:32  +
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