Abstract
The manual description of legal framework network knowledge ontology is a time-consuming and laborious project. In order to improve the efficiency of ontology construction, this paper discusses the transformation from legal framework network database to OWL ontology, aiming to help users select some or all of the frameworks in the legal framework network database to realize the automatic description from legal framework network database to ontology language 0wl. Based on the definition of class and attribute in the network ontology of legal framework, this method uses the function of Jena’s ontology subsystem to create ontology template including class, attribute, restriction, and other information. By using SQL language to call the database, all kinds of information of the data table are automatically filled into the ontology template according to the ontology class and attribute. It also evaluates the generated owl documents and discusses the information that needs to be corrected manually.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Josef, R., E. Michael, and Miriam R.L. Petruck. et al. 2006. FrameNetII: Extended theory and practice.
Junzhi, Jia, and Guo Dandan. 2007. Construction and implementation of legal framework network knowledge ontology. Journal of Information Science 26 (5): 733–740.
Srini, N., J.F. Charles, and F.B. Collin et al. 2007. Frame net meets the semantic web: A DAML + oil frame representation.
lan, D. 2007. Jena ontology API.
A semantic web framework for java. 2007. Jena: Downloads.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yin, X. (2021). OWL Language Conversion Based on the Legal Structure of Wed Database. In: Chang, JW., Yen, N., Hung, J.C. (eds) Frontier Computing. FC 2020. Lecture Notes in Electrical Engineering, vol 747. Springer, Singapore. https://doi.org/10.1007/978-981-16-0115-6_267
Download citation
DOI: https://doi.org/10.1007/978-981-16-0115-6_267
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0114-9
Online ISBN: 978-981-16-0115-6
eBook Packages: Computer ScienceComputer Science (R0)