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Reseach Article

A New Framework for Mapping Business Domain Ontologies

by Sahar Zangenehpour, Mir Ali Seyyedi, Mehran Mohsenzadeh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 12
Year of Publication: 2012
Authors: Sahar Zangenehpour, Mir Ali Seyyedi, Mehran Mohsenzadeh
10.5120/8806-3042

Sahar Zangenehpour, Mir Ali Seyyedi, Mehran Mohsenzadeh . A New Framework for Mapping Business Domain Ontologies. International Journal of Computer Applications. 55, 12 ( October 2012), 16-20. DOI=10.5120/8806-3042

@article{ 10.5120/8806-3042,
author = { Sahar Zangenehpour, Mir Ali Seyyedi, Mehran Mohsenzadeh },
title = { A New Framework for Mapping Business Domain Ontologies },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 12 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number12/8806-3042/ },
doi = { 10.5120/8806-3042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:03.432450+05:30
%A Sahar Zangenehpour
%A Mir Ali Seyyedi
%A Mehran Mohsenzadeh
%T A New Framework for Mapping Business Domain Ontologies
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 12
%P 16-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In cross enterprise collaboration, business domains need to interoperate and collaborate to each other for receiving profits. To create an understanding of enterprises and the ways they do business, a starting point could be business models. The goal of business modeling is to create semantically representations of business domain concepts like transactions, processes, value chains. Business domain ontologies can be used as a reference model for concrete business models. Business domain ontology describes concepts, concept relations and axioms that are potentially relevant for business models. The three main business modeling ontologies are REA, the e3-value ontology and the Business Model Ontology (BMO). In this paper, a mapping is proposed between these three well known business domain ontologies (REA, e3-value and BMO). The proposed mapping helps business domains with different ontologies in a cross enterprise collaboration, to be understandable and interoperable, but it does not force each business domain to have a common vocabulary and a unique ontology in order to be interoperable to each other.

References
  1. J. Gordjin, "Value_based requirements engineering exploring innovative e_comerce ideas," PhD Thesis, University of Vrije, Amsterdam, Netherlands, August 2002.
  2. T. Ilayperuma, "Reference ontology for business models," PhD Thesis, University of Lausanne, Lausanne, Switzerland, May 2004.
  3. A. Osterwalder, "The business model ontology," PhD Thesis, University of Stockholm, Stockholm, Sweden, 2007.
  4. W. E. McCarthy, "The REA accounting model: a generalized framework for accounting systems in a shared data environment," The Accounting Review, Vol. LVII, No. 3, July 1982. S. Purser, "A practical guide to managing information security", Artech House Technology Management Library, 2004.
  5. R. Schuster, T. Motal, "From e3-value to REA: modeling multi-party ebusiness collaborations," IEEE Conference on Commerce and Enterprise Computing, pp. 202-208, 2009.
  6. J. Gordijin, A. Osterwalder, Y. Pigneur, "Comparing two business model ontologies for designing e-business and value constellations," 18th Bled eConferenceeIntegration in Action, Bled, Slovenia, 2005.
  7. P. Mitra, G. Wiederhold , J. Jannink, "Semi-automatic integration of knowledge sources, " 2nd International Conference on Information Fusion, pp. 572-581, Sunnyvale ,1999.
  8. P. Mitra, G. Wiederhold , M. Kersten, "A graph oriented model for articulation of ontology interdependencies, " 8th Conference on Extending Database Technology, vol. 1777, pp. 86-100, Praha, 2000.
  9. P. Mitra, N. Noy , A. Jaiswal, "Ontology mapping discovery with uncertainty, " 4th International Semantic Web Conference, vol. 3729, pp. 537-547, Galway, 2005.
  10. J. Euzenat, "Brief overview of t-tree: the tropes taxonomy building tool, " 4th ASIS SIG/CR Workshop on Classification Research, Columbus, pp. 69-87, 1994.
  11. A. Doan, J. Madhavan, P. Domingos , A. Halevy, "ontology matching: a machine learning approach, " 8th International Semantic Web Conference, pp. 385-404, Springer, Verlag, Berlin, 2004.
  12. J. Euzenat , P. Valtchev, "Similarity-based ontology alignment in OWL-lite, " 15th European Conference on Artificial Intelligence, pp. 333-337, Valencia, 2004.
  13. Y. Li, Q. Zhong , J. Tang, "Results of ontology alignment with RiMOM, " International workshop on Ontology Matching, Busan, Korea, pp. 227-235. November 2007.
  14. P. Bouquet, L. Serafini, S. Zanobini , S. Sceffer, "Bootstrapping semantics on the web: meaning elicitation from schemas, " 15th International WWW Conference, pp. 505-512, Edinburgh (UK), 2006.
  15. M. Lacher , G. Groh, "Facilitating the exchange of explicit knowledge through ontology mappings, " 14th International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp. 305-309, Key West (FL US), 2001.
  16. T. Bach, R. Kuntz , F. Gandon, "On ontology matching problems (for building a corporate semantic web in a multi-communities organization) , " 6th International Conference on Enterprise Information Systems (ICEIS), pp. 236-243, Porto (PT), 2004.
  17. F. Giunchiglia , P. Shvaiko, "Semantic matching, " The Knowledge Engineering Review, pp. 265-280, 2003.
  18. Y. Kalfoglou , M. Schorlemmer, "IF-Map: an ontology mapping method based on information flow theory, " Journal on Data Semantics, 2003.
  19. U. Straccia , R. Troncy, "oMAP: Combining classifiers for aligning automatically OWL ontologies, " 6th International Conference on Web Information Systems Engineering (WISE), pp. 133-147, New York (NY US) 2005.
  20. G. Frederik, L. Wim , P. Geert, "Positioning REA as a business domain ontology, " 25th Conference on Resource Event Agent, Newark, Delaware, USA,2007.
  21. S. Giorgos and K. Stefanos, "A String Metric for Ontology Alignment," 10th international semantic web conference, pp. 624-637, Springer ,Berlin, Heidelberg, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Cross enterprise collaboration Ontology Interoperability Business Modeling Business Domain Business Domain Ontologies Mapping Ontology Evidence Node