Title | ||
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Effective Ontology-Based Search For Educational Resources Exploiting Semantic Similarity |
Abstract | ||
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Semantic similarity measure plays an important role in semantic search. However, Intention in educational resources search with semantic similarity has been rarely. In this paper, we proposed ontology based semantic similarity method to compute the user query and provided educational resources, so as to improve the search efficiency. A prototype system has been implemented in light of this approach. Given a keyword combined query, the system outputs a ranked list of relative results according to the semantic similarity. In the experiment, the system achieved the better result than traditional keyword based search. |
Year | DOI | Venue |
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2008 | 10.1109/GRC.2008.4664692 | 2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2 |
Keywords | Field | DocType |
information retrieval,semantic networks,semantic similarity,databases,semantic search,ontologies,xml,engines,prototypes | Semantic similarity,Semantic integration,Semantic technology,Semantic Web Stack,Semantic search,Information retrieval,Computer science,Semantic equivalence,Semantic grid,Semantic computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tao Huang | 1 | 58 | 16.30 |
Qingtang Liu | 2 | 93 | 20.04 |
Zongkai Yang | 3 | 413 | 54.58 |
Shengming Wang | 4 | 1 | 0.35 |
Sanya Liu | 5 | 27 | 7.40 |