한국인터넷정보학회 논문지
Current Result Document :
| 한글제목(Korean Title) |
An effective approach to generate Wikipedia infobox of movie domain using semi-structured data |
| 영문제목(English Title) |
An effective approach to generate Wikipedia infobox of movie domain using semi-structured data |
| 저자(Author) |
Hanif Bhuiyan
Kyeong-Jin Oh
Myung-Duk Hong
Geun-Sik Jo
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| 원문수록처(Citation) |
VOL 18 NO. 03 PP. 0049 ~ 0061 (2017. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Wikipedia infoboxes have emerged as an important structured information source on the web. To compose infobox for an article, considerable amount of manual effort is required from an author. Due to this manual involvement, infobox suffers from inconsistency, data heterogeneity, incompleteness, schema drift etc. Prior works attempted to solve those problems by generating infobox automatically based on the corresponding article text. However, there are many articles in Wikipedia that do not have enough text content to generate infobox. In this paper, we present an automated approach to generate infobox for movie domain of Wikipedia by extracting information from several sources of the web instead of relying on article text only. The proposed methodology has been developed using semantic relations of article content and available semi-structured information of the web. It processes the article text through some classification processes to identify the template from the large pool of template list. Finally, it extracts the information for the corresponding template attributes from web and thus generates infobox. Through a comprehensive experimental evaluation the proposed scheme was demonstrated as an effective and efficient approach to generate Wikipedia infobox.
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| 키워드(Keyword) |
Wikipedia
Semantic relation
Identification
Infobox Template
Information extraction
Semi-structured data
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| 파일첨부 |
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