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Fuzzy Querying of RDF with Bipolar Preference Conditions
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Author(s): Hairong Wang (Beifang University of Nationality, China), Jingwei Cheng (Northeastern University, China)and Z. M. Ma (Northeastern University, China)
Copyright: 2016
Pages: 21
Source title:
Handbook of Research on Innovative Database Query Processing Techniques
Source Author(s)/Editor(s): Li Yan (Nanjing University of Aeronautics and Astronautics, China)
DOI: 10.4018/978-1-4666-8767-7.ch016
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Abstract
To solve the problem of information bipolarity in fuzzy querying of RDF, we propose an approach of RDF fuzzy query with bipolar preference. We use linguistic variables to describe preference conditions, and realize an extended SPARQL syntax by adding bipolar preference conditions to FILTER clauses. We identify three types of bipolar information, dividing the bipolar preference query into univariate bipolarity and bivariate bipolarity, and provide a method for converting fuzzy SPARQL queries to standard SPARQL queries. For optimizing results, we use bipolar preference satisfaction degrees to calculate priority parameters of results for sequencing. Finally, the feasibility of the proposed approach is proved by the experimental system and results.
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