Discussion on the Software Engineering Data Modeling in OWL

Abstract:

Web ontology language, which is discussed usually by people, is abbreviated as OWL. Actually, it specifically refers to the computer Web ontology language, namely a type of computer machine language. OWL is one of the very important components composing semantic Web technology. It is an ontology language that is recently offered by W3C especially for Web language, and its ontology working group makes a description to OWL through a series of documents. OWL is applicable to the description and modeling on the semantic aspects of complex data, and it can establish a flexible semantic model when a lot of complicated structures and rich semantic data are often derived in the development process of software system. All software engineering data systems are managed in modes. OWL, as an ontology language, has been widely valued in the IT industry. However, the development of OWL has been seriously restricted because it is difficult to understand.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 1512-1515
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.1512
• Online since: September 2013
• Authors: Yuan Yang
• Keywords: Modeling, Modular Management, Network Ontology Language, Semantic Description, Semantic Modeling, Web Ontology Language

References

[1] Peng Ji, Zhonggen Wang, Jun Xia, Jianhua Gong, Liyang YANG. Design and Implementation of Multi-Source Database for Regional Water System [J]. Progress in Geography, 2010, 01 (4).

[2] Ping Chen, Jianying Li, Lili Zhang. Hardware architecture and software development for LIMS system [J]. China Hi-tech Enterprises, 2012, 2 (12).

[3] Yun Xia, Hao Chen, Hui Liu. Current Condition and Development of Communication Power Source [J]. Northeast Electric Power Technology, 2009, 04 (3): 49-52.

[4] Chuan Wu, Qingchun Li, Huagang Cao. Development Process for Large-Scale Complex Information System [J]. Modern Electronic Engineering, 2012, 02.

[5] Dong Xu. Research on Several Technologies for Ensuring Software Quality [D]. Shanghai University, 2008, 02 (6): 20-56.

[6] Shuxin Yang, Zhi Shu, Hong Lan. Computer Engineering and Design [J]. 2008, 02.