Inconsistency Resolution and Joint Information Extraction from Multiple Data Sources

Abstract: Web content mining describes the discovery of useful information from the Web contents/data/documents/information. The presence of useful information in different repositories is undeniable. The aim of Information Retrieval (IR) is to retrieve the information by eliminating factors such as noise, redundant and irrelevant from the repository. Retrieval of information from multiple data sources increases the complexity. In the time of IR different type of problem arrived. Inconsistency is one such important difficulty faced by IR in multiple data sources. Different solutions have been proposed with varied levels of results. The aim of the paper is to provide a solution for the inconsistency problem using Semantics, Possibility and Para-Consistent Logic, Meta Data and User Relevance Feedback in web content mining.

Keywords: Web content mining, Information retrieval, Multiple data sources, InconsistencyI .