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【正文】 果融合? 優(yōu)化的信息集成技術(shù)是 “元搜索 ”領(lǐng)域中的基本課題，有一些成型的結(jié)果? 通過用戶反饋（ relevance feedback）積累知識(shí)，實(shí)現(xiàn)長(zhǎng)程的信息集成優(yōu)化v這一部分主要是特定信息網(wǎng)格應(yīng)用的范疇前述研究結(jié)果和信息網(wǎng)格的結(jié)合v針對(duì)大規(guī)模分布系統(tǒng)的搜索技術(shù)v針對(duì)高度動(dòng)態(tài)系統(tǒng)的高可用技術(shù)v針對(duì)潛在語(yǔ)義信息分析的技術(shù)v統(tǒng)一的信息表示參考文獻(xiàn)[1] Nigel Baker et al. Querying Large Physics Data Sets Over an Information Grid. In Chep’ 01[2] Alexander Reinefeld et al. Concepts and Technologies for a Worldwide Grid Infrastructure. In EuroPar 2023[3] . Terpstra, et al. Information discovery and bination from divergent data sources for Travel Information Systems. In 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKKD2023) [4] Omer F. Rana et al. Issues in Building AgentBased Computational Grids. Third Workshop of the UK Special Interest Group on MultiAgent Systems (UKMAS39。2023) Oxford, UK . 12 2023 參考文獻(xiàn)v [5] Keith. G. et al. Knowledge, information and Data. A briefing to the Office of Science and Technology, UK, 2023v [6] Keith. G. et al. CRIS, Grey Literature and the Knowledge SocietyIn CRIS2023v [7] David. D et al. XDBIPG: An Extensible Database Architecture for an Information Grid of Heterogeneous and Distributed Information Resourcesv [8] R. Rao et al. The Information Grid: A Framework for Information Retrieval and RetrievalCentered Applications. In Proceedings of the fifth annual ACM symposium on User interface software and technology (UIST 39。92), pages 2332, Monterey, CA, 1992. 謝謝大家！并請(qǐng)指
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