Cited By
View all- Debruyne CTran TMeersman R(2013)Grounding Ontologies with Social Processes and Natural LanguageJournal on Data Semantics10.1007/s13740-013-0023-32:2-3(89-118)Online publication date: 29-May-2013
Empowering enterprise data governance with BSG
Pages 197 - 198
Abstract
Domain rules are important for businesses to obtain good data governance. Although efficient for storing and processing data, the use of popular semantic technologies alone does not suffice. As the Web is gaining a prominent role for enterprises (and communities in general), appropriate methods and tools are required for data governance, with a proper emphasis on facts in natural language. This paper presents Business Semantics Glossary that supports the a method called Business Semantics Management.
References
[1]
De Leenheer, P., Christiaens, S. & Meersman, R. Business semantics management: A case study for competency-centric HRM. Computers in Industry, 61(8):760--775, 2010.
[2]
de Moor, A., De Leenheer, P. & Meersman, R. DOGMA-MESS: A meaning evolution support system for inter-organizational ontology engineering. In Proc. of the 14th Int. Conf. on Conceptual Structures (ICCS 2006), vol. 4068 of LNCS, pp 189--203. Springer, 2006.
[3]
Halpin, T. Information Modeling and Relational Databases. Morgan Kaufmann, San Francisco, CA, USA, 2008.
[4]
Jarrar, M. & Meersman, R. Ontology engineering - the DOGMA approach. In Dillon, Chang, Meersman & Sycara, eds, Advances in Web Semantics I, vol. 4891 of LNCS, pp 7--34. Springer, 2009.
[5]
OMG. Semantics of business vocabulary & business rules, v1.0. http://omg.org/spec/SBVR/1.0/, 2009.
[6]
Spyns, P., Meersman, R. & Jarrar, M. Data modelling versus ontology engineering. SIGMOD Record Special Issue, 31 (4):12--17, 2002.
[7]
Wintraecken, J. The NIAM Information Analysis Method, Theory and Practice. Kluwer Academic Publishers, 1990.
Index Terms
- Empowering enterprise data governance with BSG
Recommendations
Measuring ontology information by rules based transformation
Ontologies have currently attracted much attention of researchers and engineers in many fields such as knowledge management, etc. It is attractive for ontology engineers to select and reuse the existing ontologies by measuring and evaluating them ...
On the Symbiosis between Enterprise Modelling and Ontology Engineering
ER 2013: Proceedings of the 32nd International Conference on Conceptual Modeling - Volume 8217In different fields, ontologies are increasingly deployed to specify and fix the terminology of a particular domain. In enterprise modelling, their main use lies in serving as a knowledge base for enterprise model creation. Such models, based on one or ...
Comments
Information & Contributors
Information
Published In
June 2011
212 pages
Copyright © 2011 Authors.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 June 2011
Check for updates
Author Tags
Qualifiers
- Poster
Conference
K-CAP '2011
Sponsor:
Acceptance Rates
Overall Acceptance Rate 55 of 198 submissions, 28%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 271Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 10 Oct 2024
Other Metrics
Citations
Cited By
View all- Debruyne CTran TMeersman R(2013)Grounding Ontologies with Social Processes and Natural LanguageJournal on Data Semantics10.1007/s13740-013-0023-32:2-3(89-118)Online publication date: 29-May-2013
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in