Modeling Wikipedia Articles to Enhance Encyclopedic Search
Authors | Atsushi Fujii |
---|---|
Publication date | 2010 |
Links | Original |
Modeling Wikipedia Articles to Enhance Encyclopedic Search - scientific work related to Wikipedia quality published in 2010, written by Atsushi Fujii.
Overview
Reflecting the rapid growth of science, technology, and culture, it has become common practice to consult tools on the World Wide Web for various terms. Existing search engines provide an enormous volume of information, but retrieved information is not organized. Hand-compiled encyclopedias provide organized information, but the quantity of information is limited. To integrate the advantages of both tools, authors have been proposing methods for encyclopedic search targeting information on the Web and patent information. In this paper, authors propose a method to categorize multiple expository texts for a single term based on viewpoints. Because viewpoints required for explanation are different depending on the type of a term, such as animals and diseases, it is difficult to manually produce a large scale system. Authors use Wikipedia to extract a prototype of a viewpoint structure for each term type. Authors also use articles in Wikipedia for a machine learning method, which categorizes a given text into an appropriate viewpoint. Authors evaluate the effectiveness of method experimentally.
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Wikipedia Quality
Fujii, Atsushi. (2010). "[[Modeling Wikipedia Articles to Enhance Encyclopedic Search]]".
English Wikipedia
{{cite journal |last1=Fujii |first1=Atsushi |title=Modeling Wikipedia Articles to Enhance Encyclopedic Search |date=2010 |url=https://wikipediaquality.com/wiki/Modeling_Wikipedia_Articles_to_Enhance_Encyclopedic_Search}}
HTML
Fujii, Atsushi. (2010). "<a href="https://wikipediaquality.com/wiki/Modeling_Wikipedia_Articles_to_Enhance_Encyclopedic_Search">Modeling Wikipedia Articles to Enhance Encyclopedic Search</a>".