Data Management

Information Extraction Using Metadata and Solving Polysemy Problems

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Executive Summary

Data mining is the exploration and evaluation of large quantity of data to discover substantial, novel, useful and effectively understandable data. Hence determining the knowledge of a document becomes a necessary task in data mining. There are three approaches of metadata in general. They are stylistic, machine learning and knowledge bases. Sometimes the problem occurs when mining a document that contains polysemic words which leads to irrelevant extraction and increased processing time. Polysemy refers to coexistence of many possible meaning for a word or phrase. In order to extract exact information, polysemy like issue should be solved.

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