Semantic Clustering of Search Engine Results
Joint Authors
Soliman, Sara Saad
El-Sayed, Maged F.
Hassan, Yasser F.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents.
The proposed approach takes into consideration both lexical and semantics similarities among documents and applies activation spreading technique in order to generate semantically meaningful clusters.
This approach allows documents that are semantically similar to be clustered together rather than clustering documents based on similar terms.
A prototype is implemented and several experiments are conducted to test the prospered solution.
The result of the experiment confirmed that the proposed solution achieves remarkable results in terms of precision.
American Psychological Association (APA)
Soliman, Sara Saad& El-Sayed, Maged F.& Hassan, Yasser F.. 2015. Semantic Clustering of Search Engine Results. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1079295
Modern Language Association (MLA)
Soliman, Sara Saad…[et al.]. Semantic Clustering of Search Engine Results. The Scientific World Journal No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1079295
American Medical Association (AMA)
Soliman, Sara Saad& El-Sayed, Maged F.& Hassan, Yasser F.. Semantic Clustering of Search Engine Results. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1079295
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079295