Abstract
Information extraction (IE) has been emerged as a novel discipline in computer science. In IE, intelligent algorithms are employed to extract the required data, and structure them so that they are appropriate for query. In most IE systems, a web-page structure, e.g. HTML tags are used to recognize the looked-for information. In this article, an algorithm is developed to recognize the main region of web-pages containing the looked-for information, by means of an ontology, a web-page structure and goodness-of-fit χ 2 test. After recognizing the main region, the existing records of the region are recognized, and then each record is put in a text file.
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Keshavarzi, A., Rahmani, A.M., Mohsenzadeh, M., Keshavarzi, R. (2008). Recognition of Data Records in Semi-structured Web-Pages Using Ontology and χ 2 Statistical Distribution. In: Tang, C., Ling, C.X., Zhou, X., Cercone, N.J., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2008. Lecture Notes in Computer Science(), vol 5139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88192-6_71
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DOI: https://doi.org/10.1007/978-3-540-88192-6_71
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