Effective Ontology-based Search for Educational Resources Exploiting Semantic Similarity

Tao Huang, Qingtang Liu, Zongkai Yang, Shengming Wang, Sanya Liu

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.