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- W51699532 abstract "Since the growth of the Internet,World Wide Web has become significant infrastructure in various fields such as business, commerce, education and so on. Accordingly, a user has gathered information by using the Internet. However due to increasing Web pages, it becomes difficult for a user to collect desirable information. Advanced Web search engines may provide solution to some extent, it is still up to a user to summarize or extract meaningful information from such retrieval results. Based on this viewpoints, this paper addresses a generation method of table-style data from heterogeneous Web pages that reflects a user’s intention. To achieve it, the method utilize a user’s instantiated example in a table in addition to column labels as the table. Based on a user’s instantiated example, meaningful information are extracted using pattern matching and N-gram method. We apply this method to 57 pages with 27 travel agencies whether the proposed method is effective or not. As the result, 88% was precision rate and 68% was recall rate." @default.
- W51699532 created "2016-06-24" @default.
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- W51699532 date "2010-01-01" @default.
- W51699532 modified "2023-09-23" @default.
- W51699532 title "Information Extraction from Heterogeneous Web Sites Using Clue Complement Process Based on a User’s Instantiated Example" @default.
- W51699532 cites W2052593835 @default.
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- W51699532 doi "https://doi.org/10.1007/978-3-642-14883-5_74" @default.
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