Semantic Annotation for Search Results Based on Heuristics
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Abstract
Search Engines generate a set of long flat list of information in response to user query from online databases. Information extraction and integration is most for many applications such as online comparison shopping and web data collection. Result pages generated dynamically by a search engines comes from multiple web databases. The structured data extracted from these pages with annotations are valuable for human browsing and machine processing which makes information retrieval system efficient. We propose a new EAAW System to automatically Extract, Align and Annotate the data items using heuristic information. Finally, Wrapper generation for the site is automatically constructed.
Keywords- Data alignment, Data annotation, Web database, Wrapper generation.
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