Indian Journal of Science and Technology
DOI: 10.17485/ijst/2015/v8i28/73899
Year: 2015, Volume: 8, Issue: 28, Pages: 1-4
Original Article
M. Subathra1* and R. Nedunchezhian2
1 Department of Computer Applications, PSG College of Technology, Bharathiar University, Coimbatore – 641004, Tamil Nadu, India; [email protected]
2 KIT-Kalaignar Karunanidhi Institute of Technology, Coimbatore – 641402, Tamil Nadu, India; [email protected]
The detection of person alias names is important for improving the accuracy of the information quality. The fuzzybased decision system is proposed for alias detection, which is a rule-based system that uses fuzzy logic to make a decision about the closeness between the given name pairs. A fuzzy logic is formulated by a set of linguistic variables based on score value of the features. An entity pair’s association score values are calculated using string and link-based features like Hamming Distance, Leventein Distance, Normalized String Edit Distance, Common Friends, Normalized Dot Product and Co-occurrence Relevance. These features are transformed into fuzzy input variables and designed with triangular membership function. The proposed novel fuzzy inference system gives the decision of aliases closeness in the form of crisp values ranging from 0.0 to 1. In this work, the model achieves upto 90% accuracy compared to estimated accuracy.
Keywords: Alias Detection, Closeness Identification, Fuzzy Logic, String and link based features
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