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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015 | Rating: 6.6 / 10
Feature Clustering and Annotating Search Results from Web Databases
Lekshmi S.S. | Suryapriya S.
Abstract: Web contain huge amount of information on Web sites the user can retrieve this with help of the search input query to Web databases & fetch the relevant information. In online shopping websites essential data will be obtained if the items are selected from the given list. But if one wants to find an item by giving a query in the search interface there is no guarantee that the retrieved data will be relevant. The information retrieval should be done automatically & arrange in a systematic way for further processing. Various methodologies like wrapper induction is been induced. The labeling is done to the extracted information as per the concept. Various types of annotators are used on the basis of the data to be annotated. In this paper survey the automatic annotation approach on the basis of different feature of text node and data units.
Keywords: Data extraction, Web data annotation and Wrapper induction
Edition: Volume 4 Issue 3, March 2015,
Pages: 1493 - 1496