Rough Set Based Information Retrieval from Argumentative Data Points in Weblogs

摘要

This paper describes a decision tree model and 3-dimensional representation of information retrieved from various weblogs in relation to argumentative logics. The weblogs are considered as datasets that show significant correlations between the queries applied to them. We have extracted a compact set of rules to support the dataset with the queries and employed effective evaluation metrics to evaluate the weighted average of the weblogs categorized into different types. The opinions from the weblogs are retrieved and represented as an object oriented 3-Dimensional system. The goal of our approach is to generate rules from rough sets and to represent them in a 3-dimensional interactive program, Blog Cosmos. We used rough set theory as a candidate framework for query refinement.