Query refinement for ontology information extraction
Ontology information extraction has gain popularity due to the increasing amount of ontologies developed over the years. World Wide Web Consortium (W3C) has introduced SPARQL query language to extract information. However SPARQL query language follow a specific pattern in order to find the triple th...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56325/ http://psasir.upm.edu.my/id/eprint/56325/1/Query%20refinement%20for%20ontology%20information%20extraction.pdf |
| _version_ | 1848853051425685504 |
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| author | Ting, Mary Abdul Kadir, Rabiah Azman, Azreen Tengku Sembok, Tengku Mohd Ahmad, Fatimah Mohd Sharef, Nurfadhlina |
| author_facet | Ting, Mary Abdul Kadir, Rabiah Azman, Azreen Tengku Sembok, Tengku Mohd Ahmad, Fatimah Mohd Sharef, Nurfadhlina |
| author_sort | Ting, Mary |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Ontology information extraction has gain popularity due to the increasing amount of ontologies developed over the years. World Wide Web Consortium (W3C) has introduced SPARQL query language to extract information. However SPARQL query language follow a specific pattern in order to find the triple through subgraph matching. The keywords used in the SPARQL query have to be exactly same as the existing keywords in the RDF data in-order to extract the required information. The paper introduced a method to ease the job of the user by generating SPARQL query from the query entered by the user. The method uses the object property list generated from the ontology and word's synonym to aid in SPARQL query generation. The result has shown that the proposed method clearly eases the need of the user to learn SPARQL syntax. |
| first_indexed | 2025-11-15T10:47:49Z |
| format | Conference or Workshop Item |
| id | upm-56325 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:47:49Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-563252017-07-31T05:49:20Z http://psasir.upm.edu.my/id/eprint/56325/ Query refinement for ontology information extraction Ting, Mary Abdul Kadir, Rabiah Azman, Azreen Tengku Sembok, Tengku Mohd Ahmad, Fatimah Mohd Sharef, Nurfadhlina Ontology information extraction has gain popularity due to the increasing amount of ontologies developed over the years. World Wide Web Consortium (W3C) has introduced SPARQL query language to extract information. However SPARQL query language follow a specific pattern in order to find the triple through subgraph matching. The keywords used in the SPARQL query have to be exactly same as the existing keywords in the RDF data in-order to extract the required information. The paper introduced a method to ease the job of the user by generating SPARQL query from the query entered by the user. The method uses the object property list generated from the ontology and word's synonym to aid in SPARQL query generation. The result has shown that the proposed method clearly eases the need of the user to learn SPARQL syntax. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56325/1/Query%20refinement%20for%20ontology%20information%20extraction.pdf Ting, Mary and Abdul Kadir, Rabiah and Azman, Azreen and Tengku Sembok, Tengku Mohd and Ahmad, Fatimah and Mohd Sharef, Nurfadhlina (2016) Query refinement for ontology information extraction. In: 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP'16), 23-24 Aug. 2016, Hatten Hotel Melaka, Malaysia. (pp. 82-87). 10.1109/INFRKM.2016.7806340 |
| spellingShingle | Ting, Mary Abdul Kadir, Rabiah Azman, Azreen Tengku Sembok, Tengku Mohd Ahmad, Fatimah Mohd Sharef, Nurfadhlina Query refinement for ontology information extraction |
| title | Query refinement for ontology information extraction |
| title_full | Query refinement for ontology information extraction |
| title_fullStr | Query refinement for ontology information extraction |
| title_full_unstemmed | Query refinement for ontology information extraction |
| title_short | Query refinement for ontology information extraction |
| title_sort | query refinement for ontology information extraction |
| url | http://psasir.upm.edu.my/id/eprint/56325/ http://psasir.upm.edu.my/id/eprint/56325/ http://psasir.upm.edu.my/id/eprint/56325/1/Query%20refinement%20for%20ontology%20information%20extraction.pdf |