A hybrid method for detecting outdated information in Wikipedia infoboxes
|A hybrid method for detecting outdated information in Wikipedia infoboxes|
|Author(s)||Tran T., Cao T.H.|
|Published in||Proceedings - 2013 RIVF International Conference on Computing and Communication Technologies: Research, Innovation, and Vision for Future, RIVF 2013|
|Keyword(s)||Entity Search, Information Extraction, Pattern Learning, Wikipedia Update|
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A hybrid method for detecting outdated information in Wikipedia infoboxes is a 2013 conference paper written in English by Tran T., Cao T.H. and published in Proceedings - 2013 RIVF International Conference on Computing and Communication Technologies: Research, Innovation, and Vision for Future, RIVF 2013.
Wikipedia has grown fast and become a major information resource for users as well as for many knowledge bases derived from it. However it is still edited manually while the world is changing rapidly. In this paper, we propose a method to detect outdated attribute values in Wikipedia infoboxes by using facts extracted from the general Web. Our proposed method extracts new information by combining pattern-based approach with entity-search-based approach to deal with the diversity of natural language presentation forms of facts on the Web. Our experimental results show that the achieved accuracies of the proposed method are 70% and 82% respectively on the chief-executive-officer attribute and the number-of-employees attribute in company infoboxes. It significantly improves the accuracy of the single pattern-based or entity-search-based method. The results also reveal the striking truth about the outdated status of Wikipedia.
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