Building a web thesaurus from web link structure
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Complementary information retrieval for cross-media news content
Information Systems
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Mining Domain-Specific Thesauri from Wikipedia: A Case Study
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
A framework for information quality assessment
Journal of the American Society for Information Science and Technology
Information quality work organization in wikipedia
Journal of the American Society for Information Science and Technology
Information arbitrage across multi-lingual Wikipedia
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Is Wikipedia link structure different?
Proceedings of the Second ACM International Conference on Web Search and Data Mining
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Wikipedia mining for an association web thesaurus construction
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Adaptive ranking of search results by considering user's comprehension
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
How the web can help Wikipedia: a study on information complementation of Wikipedia by the web
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Extracting difference information from multilingual wikipedia
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Many Wikipedia articles lack information, because not all users submit truly complete information to Wikipedia. However, Wikipedia has many language versions that have been developed independently. Therefore, if we supply these complementary information from many language versions, the users must satisfy the amount of information of Wikipedia articles with the complementary information, instead of only one language version of Wikipedia articles. In this study, we specifically examine multilingual Wikipedia and propose a method of extracting good quality complementary information from Wikipedia of other languages. Specifically, we compare Wikipedia articles with less information to those with more information. From Wikipedia articles, which can have the same theme and different languages, we extract different information as complementary information. As described herein, we extract comparison target articles of Wikipedia based on a link graph, because cases exist in which information included in an articles is written in multiple pages of different languages. Furthermore, some low-quality information is extracted as complementary information because Wikipedia articles are written by not only good editors but also bad editors such as vandals. We propose a method to calculate the quality of information based on the editors, and we extract good quality complementary information.