The Community for Technology Leaders
RSS Icon
Issue No.05 - September/October (2007 vol.22)
pp: 23-32
Dario Bottazzi , University of Bologna
Rebecca Montanari , University of Bologna
Alessandra Toninelli , University of Bologna
Recent advances in wireless technologies and mobile devices let users form opportunistic social networks of interests with nearby users. However, anytime, anywhere social networks raise several technological issues, including the detection of user location; the modeling, acquisition, and analysis of a user's characterizing properties; and the dynamic extraction of social networks. SAMOA, a semantic context-aware middleware approach, lets you create anytime, anywhere social networks among users in physical proximity. SAMOA separates social-network management from application logic by providing reusable middleware support for various social application scenarios. In addition, SAMOA exploits semantic-based context modeling and matching algorithms for social-network extraction. This article is part of a special issue on social computing.
social networking, middleware, context modeling, matching algorithms
Dario Bottazzi, Rebecca Montanari, Alessandra Toninelli, "Context-Aware Middleware for Anytime, Anywhere Social Networks", IEEE Intelligent Systems, vol.22, no. 5, pp. 23-32, September/October 2007, doi:10.1109/MIS.2007.85
1. S. Wasserman et al., Social Network Analysis: Methods and Applications, Cambridge Univ. Press, 1994.
2. M. Foth, "Facilitating Social Networking in Inner-City Neighborhoods," Computer, vol. 39, no. 9, 2006, pp. 44—50.
3. E.F. Churchill et al., "Social Networks and Social Networking," IEEE Internet Computing, vol. 9, no. 5, 2005, pp. 14–19.
4. L. Terveen et al., "Social Matching: A Framework and Research Agenda," ACM Trans. Computer-Human Interaction, vol. 12, no. 3, 2005, pp. 401–434.
5. G. Kortuem et al., "Wearable Communities: Augmenting Social Networks with Wearable Computers," IEEE Pervasive Computing, vol. 2, no. 1, 2003, pp. 71–78.
6. Q. Jones et al., "People-to-People-to-Geographical-Places: The P3 Framework for Location-Based Community Systems," Computer Supported Cooperative Work, vol. 13, nos. 3–4, 2004, pp. 249–282.
7. M. Harada et al., "Finding Authoritative People from the Web," Proc. 4th ACM/IEEE-CS Joint Conf. Digital Libraries (JCDL 04), ACM Press, 2004, pp. 306–313.
8. M. van Alstyne et al., "EmailNet: A System for Automatically Mining Social Networks from Organizational Email Communication," Proc. 1st North Am. Assoc. Computational Social and Organizational Science Conf., NAACSOS, 2003, 2003proceedings.html.
9. R. Kumar et al., "The Web and Social Networks," Computer, vol. 35, no. 2, 2002, pp. 32–36.
10. H. Kautz et al., "The Hidden Web," AI Magazine, vol. 18, no. 2, 1997, pp. 27–35.
11. P. Mika, "Flink: Semantic Web Technology for the Extraction and Analysis of Social Networks," J. Web Semantics, vol. 3, no. 2, 2005, pp. 211–223.
12. F. Wang et al., "Social Computing: From Social Informatics to Social Intelligence," IEEE Intelligent Systems, vol. 22, no. 2, pp. 79–83.
13. A. Pentland, "Socially Aware Computation and Communication," Computer, vol. 38, no. 3, 2005, pp. 33–40.
14. A. Bernstein et al., "Toward High-Precision Service Retrieval," Proc. Int'l Semantic Web Conf., LNCS 2342, Springer, 2002, pp. 84–101.
45 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool