Affiliations: [a] Software College, Northeastern University, Shenyang, China
| [b] School of Computer Science and Engineering, Northeastern University, Shenyang, China
Correspondence:
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Corresponding author. Haitao Cheng, School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China. Tel.: +86 15940029332; Fax: +86 2483681582; E-mail: [email protected].
Abstract: RDF (Resource Description Framework) and RDF Schema (RDF(S)) are the normative languages to represent the Web information. Extracting RDF(S) from the existing data sources is becoming an important research issue. However, information imprecision and uncertainty exist in many real-world applications and hence fuzzy data modeling has been extensively investigated in various data models. In particular, fuzzy Entity-Relationship (ER) model has been widely applied to fuzzy data modeling in many application domains. Therefore, how to extract RDF(S) from the existing fuzzy ER models becomes an important issue to be solved. In this paper, we propose a formal approach for extracting RDF(S) from fuzzy ER models and implement a prototype tool. We first give the formal definitions of fuzzy ER models and RDF(S). After that, a formal approach for extracting RDF(S) from fuzzy ER models is proposed. Also, an extraction example is provided. Finally, based on the proposed approach, a prototype extraction tool is implemented, and the experiments show that the approach and the tool are feasible.
Keywords: Fuzzy ER models, RDF, RDF schema, extraction
