Semantic Based Information Extraction from Web

نویسنده

  • P. Shanthi Bala
چکیده

Extraction of information from web is a challenging task. The information stored in a web may be structured or unstructured information. The structured information provides enhanced knowledge which helps to retrieve relevant documents. It helps the user to understand particular domain. This paper explores the importance of information extraction using semantics. It enables the users to discover and share the knowledge easily. To provide complete knowledge, an effective mechanism is required to access and extract knowledge from Web documents. In this paper, the method has been proposed to extract the domain knowledge based on Lexical resources. It enables the user to retrieve more relevant documents and helps to improve the search keyword for naïve user. Keywords— Semantic Relations, Concepts, Lexical Resources, Information Extraction.

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تاریخ انتشار 2013