Title
Effective Ontology-Based Search For Educational Resources Exploiting Semantic Similarity
Abstract
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
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 Huang15816.30
Qingtang Liu29320.04
Zongkai Yang341354.58
Shengming Wang410.35
Sanya Liu5277.40