LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
A. C. M. Fong (2015)
Languages: English
Types: Other
Subjects:
Integrating sensor networks and human social networks can provide rich data for many consumer applications. Conceptual analysis offers a way to reason about real-world concepts, which can assist in discovering hidden knowledge from the fused data. Knowledge discovered from such data can be used to provide mobile users with location-based, personalized and timely recommendations. Taking a multi-tier approach that separates concerns of data gathering, representation, aggregation and analysis, this paper presents a conceptual analysis framework that takes unified aggregated data as an input and generates semantically meaningful knowledge as an output. Preliminary experiments suggest that a fusion of sensor network and social media data improves the overall results compared to using either source of data alone.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] J. G. Breslin, S. Decker, M. Hauswirth, G. Hynes, D. Le Phuoc, A. Passant, A. Polleres, C. Rabsch, V. Reynolds, "Integrating social networks and sensor networks", W3C Workshop on the Future of Social Networking, 15-16 January 2009, Barcelona, Spain.
    • [2] A.C.M. Fong, B. Zhou, S.C. Hui, G.Y. Hong and T.A. Do, “Web content recommender system based on consumer behavior modeling”, IEEE Trans. Consumer Electronics, Vol. 57/2, pp. 962-969, 2011.
    • [3] A.C.M. Fong, B. Zhou, S.C. Hui, G.Y. Hong and J. Tang, “Generation of personalized ontology based on consumer emotion and behavior analysis”, IEEE Trans. Affective Computing, Vol. 3/2, pp. 152-164, April-June, 2012.
    • [4] M. Gao, V.K. Singh, and R. Jain, “Eventshop: from heterogeneous web streams to personalized situation detection and control”, Proc. 4th Annual ACM Web Science Conference WebSci '12, pp. 105-108, 2012.
    • [5] B. Ganter and R. Wille. Formal Concept Analysis: Mathematical Foundations. Springer, 1999.
    • [6] R. Kruse, E. Schwecke, J. Heinsohn. Uncertainty and vagueness in knowledge-based systems: numerical methods. Springer, 2011.
    • [7] Q.T. Tho, S.C. Hui, A.C.M. Fong and T.H. Cao. “Automatic fuzzy ontology generation for semantic web”, IEEE Trans. Knowledge and Data Engineering, Vol. 18/6, pp. 842-856, June 2006.
  • No related research data.
  • No similar publications.

Share - Bookmark

Download from

Cite this article