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.
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Shimada, J., Oka, H., Akiyoshi, M., Komoda, N. (2010). Information Extraction from Heterogeneous Web Sites Using Clue Complement Process Based on a User’s Instantiated Example. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_74
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DOI: https://doi.org/10.1007/978-3-642-14883-5_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14882-8
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