Logico-linguistic semantic representation of documents
The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for...
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| Format: | Proceeding Paper |
| Language: | English English English |
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IEEE
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf http://irep.iium.edu.my/55248/2/55248-TOC.pdf http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf |
| _version_ | 1848784548526030848 |
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| author | Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd |
| author_facet | Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd |
| author_sort | Wani, Sharyar |
| building | IIUM Repository |
| collection | Online Access |
| description | The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for this purpose. Search engines suffer in extraction of specific answers to queries because of the absence of structured domain knowledge. The current paper deals with the design of formalism to extract and represent knowledge from the data in a consistent format. The application of logic and linguistics combined greatly eases and increases the precision of knowledge translation from natural language. The results clearly indicate the effectiveness of the knowledge extraction and representation methodology developed providing intelligence to machines for efficient analysis of data. The methodology helps machines to precise results in an efficient manner. |
| first_indexed | 2025-11-14T16:39:00Z |
| format | Proceeding Paper |
| id | iium-55248 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T16:39:00Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-552482020-06-10T08:16:42Z http://irep.iium.edu.my/55248/ Logico-linguistic semantic representation of documents Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd QA75 Electronic computers. Computer science The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for this purpose. Search engines suffer in extraction of specific answers to queries because of the absence of structured domain knowledge. The current paper deals with the design of formalism to extract and represent knowledge from the data in a consistent format. The application of logic and linguistics combined greatly eases and increases the precision of knowledge translation from natural language. The results clearly indicate the effectiveness of the knowledge extraction and representation methodology developed providing intelligence to machines for efficient analysis of data. The methodology helps machines to precise results in an efficient manner. IEEE 2016 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf application/pdf en http://irep.iium.edu.my/55248/2/55248-TOC.pdf application/pdf en http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf Wani, Sharyar and Wahiddin, Mohamed Ridza and Sembok, Tengku Mohd (2016) Logico-linguistic semantic representation of documents. In: 2nd International Conference on Big Data Intelligence and Computing (DataCom 2016), 8-10 Aug 2016, Auckland. http://ieeexplore.ieee.org DOI 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.135 |
| spellingShingle | QA75 Electronic computers. Computer science Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd Logico-linguistic semantic representation of documents |
| title | Logico-linguistic semantic representation of documents |
| title_full | Logico-linguistic semantic representation of documents |
| title_fullStr | Logico-linguistic semantic representation of documents |
| title_full_unstemmed | Logico-linguistic semantic representation of documents |
| title_short | Logico-linguistic semantic representation of documents |
| title_sort | logico-linguistic semantic representation of documents |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf http://irep.iium.edu.my/55248/2/55248-TOC.pdf http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf |