Concept Extraction and Verification from Web Corpus
Cao Cun · 2007
There is a large amount of knowledge on the Web pages.How to intelligently acquire knowledge from the massive information on Web pages has become a very important task.Concepts as well as inter-conceptual relations and inter-attribute relations of concepts are the main parts of knowledge.Therefore how toacquire and verify concepts is an important step in the knowledge acquisition.This paper proposes a hybrid approach to automatically extract concepts from large Web corpus.The hybrid approach makes use of rules,statistic,and context information to identify and verify concepts.The experiment shows very good performance of this method for extracting concepts.