NDLI: Ontology Mapping Based-on Angle Degree of Approaching

Content Provider	IEEE Xplore Digital Library
Author	Kangyin Yin Zilin Song Weihua Ai Yaxin Yi
Copyright Year	2007
Description	Author affiliation: PLA Univ. of Sci. & Technol., Nanjing (Kangyin Yin; Zilin Song; Weihua Ai; Yaxin Yi)
Abstract	Ontologies are playing an important role in semantic Web. Ontology mapping is an effective method to solve the problem of ontology heterogeneity and to realize the interoperation among semantic web applications which use different ontologies. Instances and structures are important factors to establish ontology mapping, however, existing ontology mapping methods combine the results of different strategies with weighted average and the weights are subjective. In this paper, the angle degree of approaching is proposed according to the principle of fuzzy mathematics and is applied to similarity measure. Similarity measure based-on approach degree expresses all the similarities between different factors with vectors respectively, and combines them. In the end, the experimental results show this method is more objective and can calculate the similarities more accurately than the other methods.
Starting Page	171
Ending Page	175
File Size	258812
Page Count	5
File Format	PDF
ISBN	9780769528748
DOI	10.1109/FSKD.2007.431
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Automation Bayesian methods Decision theory Programmable logic arrays Machine learning Ontologies Mathematics Performance analysis Risk management
Content Type	Text
Resource Type	Article

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