Ontology Matching in Context-driven Collaborative Recommending Systems

Alexander Smirnov, Alexey Kashevnik, Nikolay Shilov

2012

Abstract

The paper proposes an approach to building a context-driven collaborative recommending system, and concentrates on the ontology matching algorithm and ontology alignment patterns. The designed collaborative recommendation system is based on application of such technologies as user and group profiling, context management, decision mining. It enables for self-organisation of user groups in accordance with changing user profiles and the current situation context. Utilizing of the developed ontology alignment patterns considerably accelerates the ontology fusion and matching processes due to typification of fusion and alignment schemes.

References

  1. Baatarjav, E.-A., Phithakkitnukoon, S., and Dantu, R., (2009). Group Recommendation System for Facebook. In OTM 2008: Proceedings of On the Move to Meaningful Internet Systems Workshop, LNCS 5333 (pp. 211-219).
  2. Balandin, S., Moltchanov, D., and Koucheryavy, Y., (Eds.) (2009). Smart Spaces and Next Generation Wired/Wireless Networking, Springer, LNCS 5764.
  3. Bradfield, D. J., Gao, J. X., and Soltan, H., (2007). A Metaknowledge Approach to Facilitate Knowledge Sharing in the Global Product Development Process. Computer-Aided Design & Applications, 4(1-4), 519- 528.
  4. Chan, E. C. K. and Yu, K. M., (2007). A framework of ontology-enabled product knowledge management. International Journal of Product Development, 4(3-4), 241-254.
  5. Chen, Y.-J., Chen, Y.-M., and Wu, M.-S., (2010). An expert recommendation system for product empirical knowledge consultation. In ICCSIT2010: The 3rd IEEE International Conference on Computer Science and Information Technology, IEEE (pp. 23-27).
  6. Enterprise Integration Patterns, (2012). Retrieved from: http://www.eaipatterns.com/.
  7. Euzenat J. and Shvaiko, P., (2007). Ontology matching, Springer-Verlag.
  8. Flake, G. W., Lawrence, S., Giles, C. L. and Coetzee, F., (2002). Self-Organization and identification of Web Communities, IEEE Computer, 35(3) 66-71.
  9. Garcia, I., Sebastia, L., Onaindia, E., and Guzman, C., (2009). A Group Recommender System for Tourist Activities. In EC-Web 2009: Proceedings of ECommerce and Web Technologies, The 10th International Conference (pp. 26-37) Springer, LNCS 5692.
  10. Goldkuhl, G. and Röstlinger, A., (2002). Towards an integral understanding of organisations and information systems: Convergence of three theories. In Proceedings of the 5th International Workshop on Organisational Semiotics.
  11. Hornung, T., Koschmider, A., and Oberweis, A., (2009). A Recommender System for Business Process Models. In WITS'09: Proceedings of the 17th Annual Workshop on Information Technologies & Systems. Retrieved from: http://ssrn.com/abstract=1328244.
  12. Latour, B., (1991). Technology is society made durable. In: Law J. (Ed.) A sociology of monsters: Essays on power, technology and domination, (pp. 103-131). Routledge & Kegan Paul.
  13. Lind, M. and Seigerroth, U., (2010). Multi-Layered Process Modeling for Business and IT Alignment. In Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS), (pp. 1-10).
  14. McCarthy, K., Salamo, M., Coyole, L., McGinty, L., Smyth, B., and Nixon, P., (2006). Group Recommender Systems: A Critiquing Based Approach, In IUI 7806: Proceedings of the 11th international conference on Intelligent user interfaces (pp. 267-269).
  15. Middleton, S. E., De Roure, D., and Shadbolt, N. R., (2003). Ontology-Based Recommender Systems. In Staab, S. and Studer, R. (Eds.) Handbook on Ontologies (pp. 477-498) Springer.
  16. Moon, S. K., Simpson, T. W., and Kumara, S. R. T., (2009). An agent-based recommender system for developing customized families of products. Journal of Intelligent Manufacturing, 20(6), 649-659.
  17. Patil, L., Dutta, D., and Sriram, R., (2005). Ontologybased exchange of product data semantics. IEEE Transactions on Automation Science and Engineering, 2(3), 213-225.
  18. Petrusel, P. and Mican, D., (2010). Mining Decision Activity Logs. In Abramowicz, W., Tolksdorf, R., and Wecel. K. (Eds.) BIS2010: Proceedings of Business Information Systems Workshops, (pp. 67-79) Springer, LNBIP 57.
  19. Romesburg, H. C., (2004). Cluster Analysis for Researchers, Lulu Press, California.
  20. Rozinat, A. and van der Aalst, W. M. P., (2006). Decision Mining in Business Processes, BPM Center Report no. BPM-06-10.
  21. Smirnov, A., Kashevnik, A., Shilov, N., Balandin, S., Oliver, I., and Boldyrev, S., (2010) On-the-Fly Ontology Matching in Smart Spaces: A Multi-Model Approach. In Balandin, S., Dunaytsev, R., Koucheryavy, Y. (Eds.) Smart Spaces and Next Generation Wired/Wireless Networking, (pp.72-83) Springer, LNCS 6294.
  22. Smirnov, A., Levashova, T., Kashevnik, A., and Shilov, N. (2009) Profile-based self-organization for PLM: approach and technological framework. In PLM 2009: Proceedings of the 6th International Conferecne on Product Lifecycle Management.
  23. Smirnov, A., Pashkin, M., and Chilov, N., (2005). Personalized Customer Service Management for Networked Enterprises. In ICE 2005: Proceedings of the 11th International Conference on Concurrent Enterprising (pp. 295-302).
  24. Smirnov, A., Pashkin, M., Levashova, T., Kashevnik, A., and Shilov, N., (2008). Context-Driven Decision Mining, In Wang, J. (Ed.) Encyclopedia of Data Warehousing and Mining. Vol. 1. (pp. 320-327). Hershey, New York, Information Science Preference, Second Edition.
  25. Smirnov, A., Shilov, N., Kashevnik, A., Jung, T., Sinko, M., and Oroszi, A., (2011). Ontology-Driven Product Configuration: Industrial Use Case, In Proceedings of International Conference on Knowledge Management and Information Sharing (KMIS 2011) (pp. 38-47).
  26. Zhena, L., Huangb, G. Q. and Jiang, Z., (2009). Recommender system based on workflow, Decision Support Systems, 48(1), 237-245.
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Paper Citation


in Harvard Style

Smirnov A., Kashevnik A. and Shilov N. (2012). Ontology Matching in Context-driven Collaborative Recommending Systems . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012) ISBN 978-989-8565-31-0, pages 139-144. DOI: 10.5220/0004126801390144


in Bibtex Style

@conference{kmis12,
author={Alexander Smirnov and Alexey Kashevnik and Nikolay Shilov},
title={Ontology Matching in Context-driven Collaborative Recommending Systems},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)},
year={2012},
pages={139-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004126801390144},
isbn={978-989-8565-31-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)
TI - Ontology Matching in Context-driven Collaborative Recommending Systems
SN - 978-989-8565-31-0
AU - Smirnov A.
AU - Kashevnik A.
AU - Shilov N.
PY - 2012
SP - 139
EP - 144
DO - 10.5220/0004126801390144