Abstract
This paper presents a novel approach to generate a referent graph for semantic business vocabulary and rules. Graphs have many applications in social media, Google map and search engine to locate a specific goal. In social media websites, friends are linked to other friends, Google map help to search a specific location, path and distance from specific location, search engine are used to make a specific search, all these task are performed by used of referent graph. Semantic business vocabulary and rules are the standards from object management group for the business organization to form the polices and rules. On the based of these rules business organization develop different software from software industry to make transaction globally. But these rules are complex and ambiguous, cause misunderstanding and miscommunication for the software developer. Our used approach give the solution of this problem, to make a representation of semantic vocabulary and rules in form of referent graph, visual representation of these rules.
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References
Bajwa, I.S., Mumtaz, S., Samad, A.: Object oriented software modeling using NLP based knowledge extraction. Eur. J. Sci. Res. 32(3), 613–619 (2009)
Bajwa, I.S., Bordbar, B., Lee, M.G.: OCL constraints generation from NL text. In: IEEE International EDOC Conference 2010, Vitoria, Brazil, pp. 204–213 (2010)
Bajwa, I.S., Behzad, B., Lee, M.G.: SBVR business rule generations from natural languages specification. In: AAAI Spring Symposium 2011- Artificial Intelligence 4 Business Agility, pp. 541–545. Stanford University, California, USA (2010)
Bajwa, I.S., Hyder, I.: UCD-generator - a LESSA application for use case design. In: Proceedings of IEEE- International Conference on Information and Emerging Technologies, ICIET, pp. 182–187 (2007)
Bajwa, I.S.: A framework for Urdu language translation using LESSA. In: WASET Spring Conference, Tokyo, Japan, pp. 309–312 (2011)
Bajwa, I.S., Choudhary, M.A: Natural language processing based automated system for UML diagrams generation. In: Saudi 18th National Conference on Computer Application 2006, Riyadh, Kingdom of Saudi Arabia, pp. 171–176 (2006)
Baisley, D., Hall, J., Chapin, D.: Semantic formulations in SBVR. In: W3C Workshop on Rule Languages for Interoperability, 27–28 April 2005, Washington, D.C., USA, pp. 27–28 (2005)
Aydogan, R., Zirtiloglu, H.: A graph-based web service composition technique using ontological information. In: IEEE International Conference on Web Services (ICWS 2007), pp. 1154–1155. IEEE, July 2007
Truong, H.B., Nguyen, Q.U., Nguyen, N.T., Duong, T.H.: A new graph-based flooding matching method for ontology integration. In: 2013 IEEE International Conference on Cybernetics (CYBCONF), pp. 86–91. IEEE (2013)
Qawaqneh, Z., El-Qawasmeh, E., Kayed, A.: New method for ranking arabic web sites using ontology concepts. In: 2nd International Conference on Digital Information Management, ICDIM 2007, vol. 2, pp. 649–656. IEEE, October 2007
Lim, E.H., Tam, H.W., Wong, S.W., Liu, J.N., Lee, R.S.: Collaborative content and user-based web ontology learning system. In: 2009 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, pp. 1050–1055. IEEE, August 2009
Pancerz, K.: Semantic relationships and approximations of sets: an ontological graph based approach. In: 2013 6th International Conference on Human System Interactions (HSI), pp. 62–69. IEEE, June, 2013
Ebrahimipour, V., Yacout, S.: Ontology-based schema to support maintenance knowledge representation with a case study of a pneumatic valve. IEEE Trans. Syst., Man, Cybern.: Syst. 45(4), 702–712 (2015)
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Kamran, M.S., Saeed, A., Hameed, A. (2019). Generating a Referent Graph from Semantics of Business Vocabulary and Business Rules. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_69
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DOI: https://doi.org/10.1007/978-981-13-6052-7_69
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