Research on the Rough Extension of Ontology Description Language of SWRL

Joint Authors

Zhang, Xiankun
Gao, Xin-ya
Zhang, Qian
Jia, Jia

Source

Journal of Electrical and Computer Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-02-22

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

Although ontology has strong ability to express knowledge, it is difficult to express uncertain or imprecise information using the language of ontology.

In order to improve the ability to express uncertain information, this paper extends the Semantic Web Rule Language (SWRL) and gives the extension of reasoning rules.

According to the rough ontology and the rules of SWRL, it updates the knowledge base.

Firstly, the concept of rough ontology and the extension of rough relationship of ontology are put forward; secondly, it gives the extension method for concepts, relationships, axioms, examples, and rules of SWRL.

Finally, a psychological counseling case shows that the method can well express the uncertainty of knowledge, and it is able to well express the reasoning rules.

American Psychological Association (APA)

Zhang, Xiankun& Gao, Xin-ya& Zhang, Qian& Jia, Jia. 2016. Research on the Rough Extension of Ontology Description Language of SWRL. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108451

Modern Language Association (MLA)

Zhang, Xiankun…[et al.]. Research on the Rough Extension of Ontology Description Language of SWRL. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1108451

American Medical Association (AMA)

Zhang, Xiankun& Gao, Xin-ya& Zhang, Qian& Jia, Jia. Research on the Rough Extension of Ontology Description Language of SWRL. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108451

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1108451