Query Expansion Using Conceptual Knowledge in Computer Science
Traditional information retrieval systems retrieve documents based on keyword based matching, thereby incapable to provide results according to user information needs. These systems do not consider the semantic relationships among the user query keywords, thus cannot interpret the query context accu...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
American Scientific Publishers
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19913/1/Query%20Expansion%20Using%20Conceptual%20Knowledge1.pdf http://umpir.ump.edu.my/id/eprint/19913/ https://doi.org/10.1166/asl.2018.12965 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831525246095589376 |
|---|---|
| author | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Roslina, Abd Hamid Fauziah, Zainuddin Nor Azhar, Ahmad |
| author_facet | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Roslina, Abd Hamid Fauziah, Zainuddin Nor Azhar, Ahmad |
| author_sort | Raza, Muhammad Ahsan |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Traditional information retrieval systems retrieve documents based on keyword based matching, thereby incapable to provide results according to user information needs. These systems do not consider the semantic relationships among the user query keywords, thus cannot interpret the query context accurately. Query Expansion technique enhances the performance of information retrieval process by expanding user query with relevant meaningful concepts. Ontology represents semantics of a domain, and emerges as an important resource for query expansion. In this paper, we propose a query expansion framework based on conceptual knowledge derived from ontology in the domain of computer science. The system prototype results show good average precision percentage of 89.2% over keyword based search. |
| format | Article |
| id | my.ump.umpir.19913 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| record_format | eprints |
| spelling | my.ump.umpir.199132019-06-25T07:52:29Z http://umpir.ump.edu.my/id/eprint/19913/ Query Expansion Using Conceptual Knowledge in Computer Science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Roslina, Abd Hamid Fauziah, Zainuddin Nor Azhar, Ahmad QA75 Electronic computers. Computer science Traditional information retrieval systems retrieve documents based on keyword based matching, thereby incapable to provide results according to user information needs. These systems do not consider the semantic relationships among the user query keywords, thus cannot interpret the query context accurately. Query Expansion technique enhances the performance of information retrieval process by expanding user query with relevant meaningful concepts. Ontology represents semantics of a domain, and emerges as an important resource for query expansion. In this paper, we propose a query expansion framework based on conceptual knowledge derived from ontology in the domain of computer science. The system prototype results show good average precision percentage of 89.2% over keyword based search. American Scientific Publishers 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19913/1/Query%20Expansion%20Using%20Conceptual%20Knowledge1.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad and Roslina, Abd Hamid and Fauziah, Zainuddin and Nor Azhar, Ahmad (2018) Query Expansion Using Conceptual Knowledge in Computer Science. Advanced Science Letters, 24 (10). pp. 7490-7493. ISSN 1936-6612. (Published) https://doi.org/10.1166/asl.2018.12965 doi: 10.1166/asl.2018.12965 |
| spellingShingle | QA75 Electronic computers. Computer science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Roslina, Abd Hamid Fauziah, Zainuddin Nor Azhar, Ahmad Query Expansion Using Conceptual Knowledge in Computer Science |
| title | Query Expansion Using Conceptual Knowledge in Computer Science |
| title_full | Query Expansion Using Conceptual Knowledge in Computer Science |
| title_fullStr | Query Expansion Using Conceptual Knowledge in Computer Science |
| title_full_unstemmed | Query Expansion Using Conceptual Knowledge in Computer Science |
| title_short | Query Expansion Using Conceptual Knowledge in Computer Science |
| title_sort | query expansion using conceptual knowledge in computer science |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/19913/1/Query%20Expansion%20Using%20Conceptual%20Knowledge1.pdf http://umpir.ump.edu.my/id/eprint/19913/ https://doi.org/10.1166/asl.2018.12965 |
| url_provider | http://umpir.ump.edu.my/ |