Emergent semantics and the multimedia semantic web

ABSTRACT

It is well known that context plays an important role in the meaning of a work of art. This paper addresses the dynamic context of a collection of linked multimedia documents, of which the web is a perfect example. Contextual document semantics emerge through identification of various users' browsing paths though this multimedia collection. In this paper, we present techniques that use multimedia information as part of this determination. Some implications of our approach are that the author of a webpage cannot completely define that document's semantics and that semantics emerge through use.

REFERENCES

• 1: T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientific American. May 2001.
• 2: S. Deerwester, S.T. Dumais, G.W. Furnas, et. al. Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6):391--407. 1990.
• 3: Venkat N. Gudivada , Vijay V. Raghavan, Content-Based Image Retrieval Systems, Computer, v.28 n.9, p.18-22, September 1995 [doi>10.1109/2.410145]
• 4: Tamer I. Ibrahim , Cheng-Zhong Xu, Neural Nets Based Predictive Prefetching to Tolerate WWW Latency, Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000), p.636, April 10-13, 2000
• 5: Simone Santini , Amarnath Gupta , Ramesh Jain, Emergent Semantics through Interaction in Image Databases, IEEE Transactions on Knowledge and Data Engineering, v.13 n.3, p.337-351, May 2001 [doi>10.1109/69.929893]
• 6: Upendra Shardanand , Pattie Maes, Social information filtering: algorithms for automating “word of mouth”, Proceedings of the SIGCHI conference on Human factors in computing systems, p.210-217, May 07-11, 1995, Denver, Colorado, United States [doi>10.1145/223904.223931]
• 7: R. Zhao and W.I. Grosky. Narrowing the Semantic Gap --- Improved Text-Based Web Document Retrieval Using Visual Features. IEEE Transactions on Multimedia. 4(2): 189--200. 2002.