The architecture of corporate information and news engine
Pages 425 - 430
Abstract
The paper describes the architecture of a corporate information and news engine, providing an effective bass for analysis, selection, navigation, and presentation of large sets of dynamic corporate contents. We show that common text processing techniques, when combined in an appropriate way, can handle a variety of sources, including: e-mails, structured and unstructured documents from internal Web sites, files shared over the LAN, etc. The major factors the system takes into account in order to offer a fully automated data gathering and personalized presentation include: document recency, sender's authority, closeness to a pre-selected topic and the user's interests.
References
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{7} Google News http://news.google.com]]
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{8} Google News Search http://news.google.com/help/about_news_search.html]]
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{12} Laham D. Latent Semantic Analysis Approaches to Categorization. In M. G. Shafto & P. Langley (Eds.), Proc. 19th Annual Conference of the Cognitive Science Society. p. 979. Hillsdale, N J: Lawrence Erlbaum Associates, Inc. 1997.]]
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{13} MUC (Message Understanding Conference) http://www.itl.nist.gov/iaui/894.02/related_projects/muc/proceedings/muc_7_toc.html]]
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{15} Nakov P. Web Personalization Using Extended Boolean Operations with Latent Semantic Indexing. In Lecture Notes in Artificial Intelligence -- 1904 (Springer). 9th International Conference, AIMSA 2000. pp. 189-198. Varna, Bulgaria, September 2000.]]
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{16} TREC (Text REtrieval Conference) http://trec.nist.gov/]]
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{17} Yahoo! News http://news.yahoo.com/]]
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- The architecture of corporate information and news engine
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Published: 19 June 2003
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