SwSim: discovering semantic similarity association in semantic web
Similarity is an important and fundamental concept in AI and many other fields. In different applications, users need to discover the relations between objects and find the level of semantic similarity between them. (I.e. find two similar papers or two similar events). In order to answer these types...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68792/ http://psasir.upm.edu.my/id/eprint/68792/1/SwSim%20discovering%20semantic%20similarity%20association%20in%20semantic%20web.pdf |
| _version_ | 1848856227419783168 |
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| author | Shariatmadari, Shahdad Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_facet | Shariatmadari, Shahdad Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_sort | Shariatmadari, Shahdad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Similarity is an important and fundamental concept in AI and many other fields. In different applications, users need to discover the relations between objects and find the level of semantic similarity between them. (I.e. find two similar papers or two similar events). In order to answer these types of complex queries, discovering semantic similarity association is one of the important steps.
The semantic web describes the resources/entities and its relationships in machine understandable way. Although semantic web technologies define relations between objects but discovering the semantic similarity relation between objects is an ongoing research.
This paper presents our method (SwSim) based on semantic association concept to discover the semantic similarity in semantic web document. In this paper, we describe how the proposed method help user to answer the complex queries in semantic web. |
| first_indexed | 2025-11-15T11:38:18Z |
| format | Conference or Workshop Item |
| id | upm-68792 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:38:18Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-687922019-06-10T03:36:53Z http://psasir.upm.edu.my/id/eprint/68792/ SwSim: discovering semantic similarity association in semantic web Shariatmadari, Shahdad Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati Similarity is an important and fundamental concept in AI and many other fields. In different applications, users need to discover the relations between objects and find the level of semantic similarity between them. (I.e. find two similar papers or two similar events). In order to answer these types of complex queries, discovering semantic similarity association is one of the important steps. The semantic web describes the resources/entities and its relationships in machine understandable way. Although semantic web technologies define relations between objects but discovering the semantic similarity relation between objects is an ongoing research. This paper presents our method (SwSim) based on semantic association concept to discover the semantic similarity in semantic web document. In this paper, we describe how the proposed method help user to answer the complex queries in semantic web. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68792/1/SwSim%20discovering%20semantic%20similarity%20association%20in%20semantic%20web.pdf Shariatmadari, Shahdad and Mamat, Ali and Ibrahim, Hamidah and Mustapha, Norwati (2008) SwSim: discovering semantic similarity association in semantic web. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631697 |
| spellingShingle | Shariatmadari, Shahdad Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati SwSim: discovering semantic similarity association in semantic web |
| title | SwSim: discovering semantic similarity association in semantic web |
| title_full | SwSim: discovering semantic similarity association in semantic web |
| title_fullStr | SwSim: discovering semantic similarity association in semantic web |
| title_full_unstemmed | SwSim: discovering semantic similarity association in semantic web |
| title_short | SwSim: discovering semantic similarity association in semantic web |
| title_sort | swsim: discovering semantic similarity association in semantic web |
| url | http://psasir.upm.edu.my/id/eprint/68792/ http://psasir.upm.edu.my/id/eprint/68792/ http://psasir.upm.edu.my/id/eprint/68792/1/SwSim%20discovering%20semantic%20similarity%20association%20in%20semantic%20web.pdf |