A hybrid method for detecting outdated information in wikipedia infoboxes
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 In this paper, we propose a method to detect outdated attribute values in Wikipedia infoboxes by us...
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| 主要な著者: | , |
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| フォーマット: | Conference paper |
| 言語: | Vietnamese |
| 出版事項: |
IEEE
2024
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| オンライン･アクセス: | https://scholar.dlu.edu.vn/handle/123456789/3526 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| 要約: | 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 In this paper, we propose a method to detect outdated attribute values in Wikipedia infoboxes by using facts extracted from the general Web.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 The results also reveal the striking truth about the outdated … |
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