Abstract
It becomes possible to acquire our interesting information from diverse information source and media to improve the quality and detailedness of information. For instance, with the spreading of digital broadcasting and broadband internet connection services, the infrastructure for integration of TV-programs and the Internet is prepared and we can find the additional information of a TV-program from the Web. In this paper, we propose a novel information retrieval mechanism for information augmentation based on the notion of topic structure. One of the notable features of our retrieval mechanism is that it can be used to find complementary information of a given web page or video. That is to say, the retrieved information is not just similar to the given web page or video. It can provide some additional information to detail the given one or describe it from different perspective. In this paper, we also show some evaluation results of the complementary information retrieval mechanism.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ma, Q., Tanaka, K. (2004). Topic-Structure Based Complementary Information Retrieval for Information Augmentation. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_66
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DOI: https://doi.org/10.1007/978-3-540-24655-8_66
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