Semantic Clustering of Search Engine Results
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 sp...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/931258 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563722607919104 |
|---|---|
| author | Sara Saad Soliman Maged F. El-Sayed Yasser F. Hassan |
| author_facet | Sara Saad Soliman Maged F. El-Sayed Yasser F. Hassan |
| author_sort | Sara Saad Soliman |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a221cde1c739414d8ec245a33f7b0eea |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a221cde1c739414d8ec245a33f7b0eea2025-02-03T01:12:51ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/931258931258Semantic Clustering of Search Engine ResultsSara Saad Soliman0Maged F. El-Sayed1Yasser F. Hassan2Department of Mathematics & Computer Science, Faculty of Science, Alexandria University, Alexandria 21511, EgyptDepartment of Information Systems & Computers, Faculty of Commerce, Alexandria University, Alexandria 26516, EgyptDepartment of Mathematics & Computer Science, Faculty of Science, Alexandria University, Alexandria 21511, EgyptThis 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.http://dx.doi.org/10.1155/2015/931258 |
| spellingShingle | Sara Saad Soliman Maged F. El-Sayed Yasser F. Hassan Semantic Clustering of Search Engine Results The Scientific World Journal |
| title | Semantic Clustering of Search Engine Results |
| title_full | Semantic Clustering of Search Engine Results |
| title_fullStr | Semantic Clustering of Search Engine Results |
| title_full_unstemmed | Semantic Clustering of Search Engine Results |
| title_short | Semantic Clustering of Search Engine Results |
| title_sort | semantic clustering of search engine results |
| url | http://dx.doi.org/10.1155/2015/931258 |
| work_keys_str_mv | AT sarasaadsoliman semanticclusteringofsearchengineresults AT magedfelsayed semanticclusteringofsearchengineresults AT yasserfhassan semanticclusteringofsearchengineresults |