Abstract
It has been important for telecommunication companies to discover social networks from mobile subscribers. They have attempted to provide a number of recommendation services, but they realized that the services were not successful. In this chapter, we present semantic technologies for discovering social networks. The process is mainly composed of two steps; (1) profile identification and (2) context understanding. Through developing a Next generation Contents dElivery (NICE) platform, we were able to generate various services based on the discovered social networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
It is a research project called NICE for delivering personalized information to mobile devices via the social networks. Real customer information has been provided from KT Freetel (KTF), one of the major telecommunication companies in Korea.
References
Tim Berners-Lee. The semantic web. Scientific American, 285(5):34–43, 2001
Philip Bonhard, Clare Harries, John McCarthy, and M. Angela Sasse. Accounting for taste: using profile similarity to improve recommender systems. In CHI ’06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 1057–1066, ACM, NY, 2006
Giacomo Cabri, Letizia Leonardi, Marco Mamei, and Franco Zambonelli. Location-dependent services for mobile users. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 33(6):667–681, 2003
S. Wesley Changchien, Chin-Feng Lee, and Yu-Jung Hsu. On-line personalized sales promotion in electronic commerce. Expert Systems with Applications, 27(1):35–52, 2004
Rob Cross, Ronald E. Rice, and Andrew Parker. Information seeking in social context: Structural influences and receipt of information benefits. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, 31(4):438–448, 2001
Nathan Eagle and Alex Pentland. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing, 10(4):255–268, 2006
Jérôme Euzenat and Petko Valtchev. Similarity-based ontology alignment in OWL-Lite. In Ramon López de Mántaras and Lorenza Saitta, editors, Proceedings of the 16th European Conference on Artificial Intelligence (ECAI’2004), Valencia, Spain, August 22-27, 2004, pages 333–337. IOS Press, 2004
Jonathan L. Herlocker, Joseph A. Konstan, and John Riedl. Explaining collaborative filtering recommendations. In CSCW ’00: Proceedings of the 2000 ACM conference on Computer supported cooperative work, pages 241–250, ACM, NY, 2000
Francisco Herrera and Luis MartÃnez. A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, 31(2):227–234, 2001
Tzung-Pei Hong and Shian-Shyong Tseng. A generalized version space learning algorithm for noisy and uncertain data. IEEE Transactions on Knowledge and Data Engineering, 9(2):336–340, 1997
R. H. Irving and D. W. Conrath. The social context of multiperson, multiattribute decisionmaking. IEEE Transactions on Systems, Man and Cybernetics, 18(3):348–357, 1988
Jason J. Jung. Ontological framework based on contextual mediation for collaborative information retrieval. Information Retrieval, 10(1):85–109, 2007
Jason J. Jung. Ontology-based context synchronization for ad-hoc social collaborations. Knowledge-Based Systems, 21(7):573–580, 2008
Jason J. Jung. Contextualized mobile recommendation service based on interactive social network discovered from mobile users. Expert Systems with Applications, 36:11950–11956, 2009
Jason J. Jung and Jérôme Euzenat. Towards semantic social networks. In Enrico Franconi, Michael Kifer, and Wolfgang May, editors, Proceedings of the 4th European Semantic Web Conference (ESWC 2007), Innsbruck, Austria, volume 4519 of Lecture Notes in Computer Science, pages 267–280. Springer, Berlin, 2007
Jason J. Jung, Hojin Lee, and Kwang Sun Choi. Contextualized recommendation based on reality mining from mobile subscribers. Cybernetics and Systems, 40(2):160–175, 2009
Przemyslaw Kazienko. Expansion of telecommunication social networks. In Yuhua Luo, editor, Proceedings of the 4th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2007), volume 4674 of Lecture Notes in Computer Science, pages 404–412. Springer, Berlin, 2007
Jon M. Kleinberg. Small-world phenomena and the dynamics of information. In Thomas G. Dietterich, Suzanna Becker, and Zoubin Ghahramani, editors, Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pages 431–438. MIT, MA, 2001
Joseph A. Konstan, Bradley N. Miller, David Maltz, Jonathan L. Herlocker, Lee R. Gordon, and John Riedl. Grouplens: applying collaborative filtering to usenet news. Communications of the ACM, 40(3):77–87, 1997
Panu Korpipaa, Jani Mantyjarvi, Juha Kela, Heikki Keranen, and Esko-Juhani Malm. Managing context information in mobile devices. IEEE Pervasive Computing, 2(3):42–51, 2003
Ohbyung Kwon, Sungchul Choi, and Gyuro Park. NAMA: a context-aware multi-agent based web service approach to proactive need identification for personalized reminder systems. Expert Systems with Applications, 29(1):17–32, 2005
Farid MELGANI, Sebastiano B. SERPICO, and Gianni VERNAZZA. Fusion of multitemporal contextual information by neural networks for multisensor image classification. In Proceedings of the 2001 IEEE International Geoscience and Remote Sensing Symposium (IGARSS ’01), pages 2952–2954. IEEE Computer Society, 2001
Gerald Mollenhorst, Beate Völker, and Henk Flap. Social contexts and personal relationships: The effect of meeting opportunities on similarity for relationships of different strength. Social Networks, 30(1):60–68, 2008
Gautam Pant and Padmini Srinivasan. Link contexts in classifier-guided topical crawlers. IEEE Transactions on Knowledge and Data Engineering, 18(1):107–122, 2006
Michael J. Pazzani. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5-6):393–408, 1999
Christelle Petit-Rozé and Emmanuelle Grislin-Le Strugeon. MAPIS, a multi-agent system for information personalization. Information & Software Technology, 48(2):107–120, 2006
Odysseas Sekkas, Christos B. Anagnostopoulos, and Stathes Hadjiefthymiades. Context fusion through imprecise reasoning. In Proceedings of the 2007 IEEE International Conference on Pervasive Services (ICPS), pages 88–91. IEEE Computer Society, 2007
Thomas Strang and Claudia LinnhoffPopien. A context modeling survey. In Proceedings of the Workshop on Advanced Context Modelling, Reasoning and Management colocationed with UbiComp 2004, 2004
Acknowledgements
This work was supported by the Korean Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST). (2008-0058292). This chapter has been significantly revised from the paper [14] published in Expert Systems with Applications, Vol. 36 (pp. 11950–11956) in 2009.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Jung, J.J., Choi, K.S., Park, S.H. (2010). Discovering Mobile Social Networks by Semantic Technologies. In: Furht, B. (eds) Handbook of Social Network Technologies and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7142-5_10
Download citation
DOI: https://doi.org/10.1007/978-1-4419-7142-5_10
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7141-8
Online ISBN: 978-1-4419-7142-5
eBook Packages: Computer ScienceComputer Science (R0)