"Automatic Acquisition of Similarity between Entities by Using Web Sear" by C. Aiswarya, R. Lakshmi et al.

Home > IJSSAN > Vol. 1 > Iss. 4 (2012)

International Journal of Smart Sensor and Adhoc Network

Article Title

Automatic Acquisition of Similarity between Entities by Using Web Search Engine

Authors

C. Aiswarya, Department of Computer Science and Engineering, Affiliated to Anna University, Alpha college of Engineering, Thirumazhisai, ChennaiFollow
R. Lakshmi, Department of Computer Science and Engineering, Affiliated to Anna University, Alpha college of Engineering, Thirumazhisai, Chennai.Follow
R. kotteswari, Department of Computer Science and Engineering, Affiliated to Anna University, Alpha college of Engineering, Thirumazhisai, Chennai.Follow

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.

Recommended Citation

Aiswarya, C.; Lakshmi, R.; and kotteswari, R. (2012) "Automatic Acquisition of Similarity between Entities by Using Web Search Engine," International Journal of Smart Sensor and Adhoc Network: Vol. 1 : Iss. 4 , Article 13.
Available at: https://www.interscience.in/ijssan/vol1/iss4/13

Download

Included in

Digital Communications and Networking Commons, Electrical and Computer Engineering Commons

COinS