Semantic triple ranking based on levenshtien reverse engineering approach
In sematic Web data are represented in Resource Description Framework (RDF) in triple format (Subject, relation, Object) and retrieved using structured query such as SPARQL. These structured queries require complex syntax to formulate. In view of this therefore, several approaches have been research...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Maxwell Science Publications
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/46260/ http://psasir.upm.edu.my/id/eprint/46260/1/Semantic%20triple%20ranking%20based%20on%20levenshtien%20reverse%20engineering%20approach.pdf |
| _version_ | 1848850626263384064 |
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| author | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_facet | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah |
| author_sort | Yauri, Aliyu Rufai |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In sematic Web data are represented in Resource Description Framework (RDF) in triple format (Subject, relation, Object) and retrieved using structured query such as SPARQL. These structured queries require complex syntax to formulate. In view of this therefore, several approaches have been researched to enables semantic formulation of natural language to structure query. The process involves the representation of natural language query to structured triple format. However, dues complex nature of natural language, one natural language query may have more than one possible triple format; therefore an effective semantic triple ranking framework is needed for semantic triple ranking. In this study, semantic triple ranking mechanism is proposed. The approach is based on using levenshtien string matching algorithm a reverse engineering approach. The result of the proposed triple ranking has increased precision to 0.04 and recall 0.06. |
| first_indexed | 2025-11-15T10:09:17Z |
| format | Article |
| id | upm-46260 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:09:17Z |
| publishDate | 2015 |
| publisher | Maxwell Science Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-462602022-06-17T02:01:33Z http://psasir.upm.edu.my/id/eprint/46260/ Semantic triple ranking based on levenshtien reverse engineering approach Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah In sematic Web data are represented in Resource Description Framework (RDF) in triple format (Subject, relation, Object) and retrieved using structured query such as SPARQL. These structured queries require complex syntax to formulate. In view of this therefore, several approaches have been researched to enables semantic formulation of natural language to structure query. The process involves the representation of natural language query to structured triple format. However, dues complex nature of natural language, one natural language query may have more than one possible triple format; therefore an effective semantic triple ranking framework is needed for semantic triple ranking. In this study, semantic triple ranking mechanism is proposed. The approach is based on using levenshtien string matching algorithm a reverse engineering approach. The result of the proposed triple ranking has increased precision to 0.04 and recall 0.06. Maxwell Science Publications 2015-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46260/1/Semantic%20triple%20ranking%20based%20on%20levenshtien%20reverse%20engineering%20approach.pdf Yauri, Aliyu Rufai and Abdul Kadir, Rabiah and Azman, Azreen and Azmi Murad, Masrah Azrifah (2015) Semantic triple ranking based on levenshtien reverse engineering approach. Research Journal of Applied Sciences, Engineering and Technology, 11 (5). pp. 468-472. ISSN 2040-7459; ESSN: 2040-7467 https://maxwellsci.com/jp/mspabstract.php?doi=rjaset.11.1849 10.19026/rjaset.11.1849 |
| spellingShingle | Yauri, Aliyu Rufai Abdul Kadir, Rabiah Azman, Azreen Azmi Murad, Masrah Azrifah Semantic triple ranking based on levenshtien reverse engineering approach |
| title | Semantic triple ranking based on levenshtien reverse engineering approach |
| title_full | Semantic triple ranking based on levenshtien reverse engineering approach |
| title_fullStr | Semantic triple ranking based on levenshtien reverse engineering approach |
| title_full_unstemmed | Semantic triple ranking based on levenshtien reverse engineering approach |
| title_short | Semantic triple ranking based on levenshtien reverse engineering approach |
| title_sort | semantic triple ranking based on levenshtien reverse engineering approach |
| url | http://psasir.upm.edu.my/id/eprint/46260/ http://psasir.upm.edu.my/id/eprint/46260/ http://psasir.upm.edu.my/id/eprint/46260/ http://psasir.upm.edu.my/id/eprint/46260/1/Semantic%20triple%20ranking%20based%20on%20levenshtien%20reverse%20engineering%20approach.pdf |