Qiang Ma
Abstract
A great deal of technology has been developed to help people access the information they require. With advances in the availability of information, information-seeking activities are becoming more sophisticated. This means that information technology must move to the next stage, i.e., enable users to acquire information from multiple perspectives to satisfy diverse needs. For instance, with the spread of digital broadcasting and broadband Internet connection services, infrastructure for the integration of TV programs and the Internet has been developed that enables users to acquire information from different media at the same time to improve information quality and the level of detail. In this paper, we propose a novel content-based join model for data streams (closed captions of videos or TV programs) and Web pages based on the concept of topic structures. We then propose a mechanism based on this model for retrieving complementary Web pages to augment the content of video or television programs. One of the most notable features of this complementary retrieval mechanism is that the retrieved information is not just similar to the video or TV program, but also provides additional information. In addition, we introduce an application system called WebTelop, which augments the content of TV programs in real time by using complementary Web pages. We also describe some experimental results.
- Allan, J., Papka, R., and Lavrenko, V. 1998. On-line new event detection and tracking. In Proceedings of 21st International ACM SIGIR Conference on Research and Development in Information Retrieval. 37--45. Google Scholar
- ChaSen. 2005. http://chasen.aist-nara.ac.jp/index.html.en.Google Scholar
- Digital Video Broadcasting Project. 2003. http://www.dvb.org.Google Scholar
- Google Web APIs. 2005. http://www.google.com/apis/.Google Scholar
- Guha, S., Jagadish, H. V., and Koudas, N. 2002. Approximate XML joins. In Proceedings of 21st ACM SIGMOD International Conference on Management of Data. 287--298. Google Scholar
- Henzinger, M., Chang, B. W., Milch, B., and Brin, S. 2003. Query-free news search. In Proceedings of the 12th International World Wide Web Conference. Google Scholar
- Hutchins, W. J. 1977. On the Problem of ‘Aboutness’ in Document Analysis. Journal of Informatics 1, 1, 17--35.Google Scholar
- Maeda, H., Koujitani, K., and Nishida, T. 1997. Information reorganization using associative structures (in Japan). IPSJ Journal 38, 3, 616--625.Google Scholar
- Mani, I., House, D., Maybury, M., and Green, M. 1997. Towards content-based browsing of broadcast news video. Intelligent Multimedia Information Retrieval, Mark Maybury, ed., Chapt. 12. pp. 241--258. AAAI Press/MIT Press, Menlo Park, California/Cambridge, Massachusetts/London, England. Google Scholar
- Matsukura, T., Kondo, H., Hirata, Y., and Tanaka, K. 2001. Discovery of semantic relationships among Web pages based on Web topic structures. In Proceedings of 9th IFIP 2.6 Working Conference on Database Semantics. 184--199. Google Scholar
- Maybury, M. 1997. Intelligent Multimedia Information Retrieval. AAAI Press and MIT Press, Cambridge, MA. Google Scholar
- Mishra, P. and Eich, M. H. 1992. Join processing in relational databases. ACM Computing Surveys 24, 1, 63--112. Google Scholar
- Muragami, H. and Hirata, T. 2001. Information acquisition and organization from www. IPSJ Technical Report 2000-FI-061. 167--174.Google Scholar
- Oyama, S. and Tanaka, K. 2003. Exploiting document structures for comparing and exploring topics on the Web. In Proceeding of the 12th International World Wide Web Conference (poster tracks).Google Scholar
- Spitters, M. and Kraaij, W. 2002. A language modeling approach to tracking news events. TDT 2002 Evaluation Workshop.Google Scholar
- TDT site 2005. http://www.itl.nist.gov/iaui/894.01/tests/tdt/index.htm.Google Scholar
- Wactlar, H. D. 2000. Infomedia---search and summarization in the video medium. In Proceedings of Imagina 2000 Conference.Google Scholar
- Wayne, C. L. 2000. Multilingual topic detection and tracking: Successful research enabled by corpora and evaluation. In Proceedings of the Language Resources and Evaluation Conference (LREC) 2000. 1487--1494. Google Scholar
- XML Topic Maps. 2005. http://www.topicmaps.org/xtm/index.html.Google Scholar
- Yang, Y., Pierce, T., and Carbonell, J. 1998. A study on retrospective and on-line event detection. In Proceedings of the 21st International ACM SIGIR Conference on Research and Development in Information Retrieval. 28--36. Google Scholar
- Zloof, M. 1977. Query-by-example: A data base language. IBM Systems Journal 16, 4, 324--343.Google Scholar
Index Terms
- Topic-structure-based complementary information retrieval and its application
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