Automatic Acquisition of Similarity between Entities by Using Web Search Engine

Abstract

Web mining is the application of data mining technology to discover patterns from the web. The various tasks on web such as relation extraction, community mining, document clustering and automatic metadata extraction. A previously proposed web-based semantic similarity measures on three benchmark datasets showing high correlation with human rating. One of the main problems in information retrieval is to retrieve a set of documents that is semantically related to given user query. We propose an automatic acquisition method to estimate semantic relation between two words by using pattern extraction algorithm and sequential clustering algorithm.