Cluster Based Shifting Technique For Arrange Data Units Into Different Groups In Web Databases
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 10
Abstract
The techniques of a clustering based shifting method make use of more affluent yet automatically obtainable features. This method is capable of handling a variety of relationships between HTML text nodes and data units, including one-to-one, one-to-many, many-to-one, and one-to-nothing. For the preset data units to be appliance process capable which is necessary for many applications such as deep web data collection and Internet comparison shopping. They need to be taking out and assign meaningful labels. We present an mechanical annotation approach that first supports the data units on a result page into different groups such that the data in the same group have the same semantic. Then for each group we explain it from different aspects and aggregate the different annotations to calculate a final annotation label for it. An annotation covering for the search site is automatically constructed and can be used to annotate new result pages from the same web database.
Authors and Affiliations
Puppala satyavathi, N. Venkata Ramana
Keywords
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- EP ID EP28044
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