Semantic similarity estimation of tasks between telecommunications business processes

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Leandro Ordóñez Ante
Adriana X Bastidas Narváez
Juan Carlos Corrales


business processes, telecommunications, tasks, semantic match-making, semantic similarity, ontology.


As a measure to improve competitiveness in the telecommunications market, currently companies in the sector create new value added services, in order to extend its services portfolio and to ensure either the retention of its customers or increase the number of its subscribers. These new services must rely on business processes defined by the Telecommunications Service Provider, which are
composed of operation, management, maintenance and support tasks. Generally, Telco Architects reuse those tasks in order to optimize enterprise resource
and to ensure prompt return on investment, amortizing over the shortest possible time the outgoings due to creation and deployment of the new service.
The reuse of Telco tasks involves constraints regarding the speed in selection, since usually, there are hundreds of tasks, and it requires the intervention of technical staff to carry out the recovery operations, based on their subjective interpretation of the business process to be implemented. There exist different approaches to automate the resources selection, generally focused on the semantic matching of concepts that describe their access interfaces (inputs and outputs); however, is shown that the application of these techniques omits relevant information contained in other attributes, such as identifiers. For this reason, this paper proposes a mechanism to determine the semantic similarity
of tasks that make up telecommunications business processes, considering two perspectives: the inference on the tasks functionality specified in identifiers,
and coverage analysis of inputs and outputs.

PACS: 84.40.Ua

MSC: 62H25, 33F10, 68Q55


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[1] Z. Yan, E. Cimpian, M. Mazzara, M. Zaremba. D1.1 BPMO Requirements Analysis and Design–SemBiz Deliverable., Noviembre de 2009.

[2] N. Pérez, H. Muñoz, D. Marcos, J. Martínez. Gestión de Procesos de Negocio Semánticos–Telefónica Investigación y Desarrollo., Enero de 2009.

[3] J. Fleck. Overview of the Structure of the NGOSS Architecture–White Paper, Hewlett Packard, May 2003.

[4] D. Moro, D. Lozano, M. Macias. WIMS 2.0: Enabling Telecom Networks Assets in the Future Internet of Services, ISBN 978-3-540-89896-2. Springer Berlin / Heidelberg, 2008.

[5] D. Bianchini, V. De Antonellis, B. Pernici, P. Plebani. Ontology-based Methodology for e-Service discovery. Information Systems, ISSN 0306–4379, 31(4), 361–380 (2006).

[6] A. Budanitsky, G. Hirst. Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics, ISSN 0891–2017, 32(1), 13—47 (2006).

[7] L. Li, I. Horrocks. A software framework for matchmaking based on semantic web technology. Proceedings of the 12th international conference on World Wide Web, 2003. WWW ’03. ISBN 1-58113-680-3, Budapest, Hungary, 331–339 (2003).

[8] M. Paolucci, T. Kawamura, T. Payne, K. Sycara. Semantic Matching of Web Services Capabilities. Proceedings of the First International Semantic Web Conference. ISWC 2002. ISBN 3-540-43760-6, Sardinia, Italy, 333–347 (2002).

[9] B. Xu, P. Zhang, J. Li,W. Yang. A Semantic Matchmaker for Ranking Web Services. Journal of Computer Science and Technology, ISSN 1000–9000, 21(4), 574–581 (2006).

[10] C. d’Amato. Similarity-based Learning Methods for the Semantic Web. PhD Thesis, University of Bari, 2007.

[11] D. Inkpen, A. D´esilets. Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing. HLT ’05. ACMID 1220582, Vancouver, British Columbia, Canada, 49–56 (2005).

[12] H Al-Mubaid, H Nguyen. A Cluster-based Approach for Semantic Similarityin the Biomedical Domain. Engineering in Medicine and Biology Society, 2006. EMBS ’06. 28th Annual International Conference of the IEEE. ISBN 1-4244- 0032-5, New York, USA, 2713–2717 (2006).

[13] D. de-Francisco, P. Grenon. Enhancing Telecommunication Business Process Representation and Integration with Ontologised Industry Standards. Proceedings of the 4th International Workshop on Semantic Business Process Management. SBPM ’09. ISBN 978-1-60558-513-0, Heraklion, Greece, 59–66 (2009).

[14] TeleManagement Forum–eTOM. Enhanced Telecom Operations Map (eTOM) - The business process framework., Septiembre de 2009.

[15] TeleManagement Forum–eTOM. Information Framework (SID) In Depth., Septiembre de 2009.

[16] A. Bastidas, L. Ordóñez, J. Corrales, C. Figueroa. Comparación Semántica de Tareas entre Procesos de Negocio de Telecomunicaciones. V Seminario De Tecnologias emergentes en telecomunicaciones y telematica. TET2010. ISBN 978-958- 732-050-3, Popayán, Colomba, 25–30 (2010).

[17] J. Martinez, N. P´erez. YATOSP: Marco de referencia sem´antico para el sector Telco. Telecom I+D Conference. Bilbao, Spain, October 29-31, (2008).

[18] B. Benatallah, M. Hacid, C. Rey, F. Toumani. Request Rewriting-based Web Service Discovery. Proceedings of the Second International Semantic Web Conference. ISWC 2003. ISBN 978-3-540-20362-9, Sanibel Island, FL, USA, 242–257 (2003).

[19] E. Komazec, S. Lintner, D. Blamauer, C. Evenson, M. Cimpian. D1.3 Business Process Modeling Ontology BPMO–SemBiz Deliverable., Agosto de 2009.

[20] Object Management Group. Business Process Modeling Notation–OMG Availa- ble Specification v1.1., Junio de 2009.

[21] R. Chillarege. Software Testing Best Practices–Center for Software Engineering, IBM Research, IBM Technical Report 1999., Marzo de

[22] M. Yatskevich. Preliminary Evaluation of Schema Matching Systems–Technical Report, Department of Information and Communication Technology, University of Trento, 2003., Febrero de 2010.

[23] J. Lu, S. Wang, J. Wang. An Experiment on the Matching and Reuse of XML Schemas. Proceedings of the 5th international conference on Web Engineering. ICWE’05. ISBN 978-3-540-27996-9, Sydney, Australia, 273–284 (2005).