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...
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| 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/68792/1/SwSim%20discovering%20semantic%20similarity%20association%20in%20semantic%20web.pdf http://psasir.upm.edu.my/id/eprint/68792/ |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
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