Volume 8 Number 5 (May 2013)
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JSW 2013 Vol.8(5): 1268-1274 ISSN: 1796-217X
doi: 10.4304/jsw.8.5.1268-1274

Ontology-based Semantic Similarity Transfer Algorithm

Ying Wang1, 2, Shihong Chen1, 3, Yimin Qiu1, 4

1School of Computer Science, Wuhan University, Wuhan, China
2School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China
3National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China

4School of Computer Science, Wuhan University of Science and Technology, Wuhan, China

Abstract—Most current network resources recommendation systems are used in a decision-making environment with low user participation, which can not effectively meet user expectations. The main reason is that the collection of user preferences is extremely difficult, which leads to the lack of information acquisition, and the lack of effective semantic similarity metric. Accordingly, this paper uses ontology for resource description to build a multiple inheritance hierarchical ontology model, and uses user preference model to generate attribute nodes, and construct a multiple inheritance graph model on account of the user personalization. Simultaneously, it construct preference transfer vector by user preference model, and then uses single-step transfer and multi-step transfer of SSTA to effectively extend evaluation from evaluated resources to the unevaluated resources. Experiment proves that SSTA has excellent recommendation effect compared with mature recommendation systems.

Index Terms—SSTA, multiple-inheritance-based graph model, preference transfer vector.


Cite: Ying Wang, Shihong Chen, Yimin Qiu, "Ontology-based Semantic Similarity Transfer Algorithm," Journal of Software vol. 8, no. 5, pp. 1268-1274, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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