4 research outputs found

    DB&IR System: A Survey

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    介绍了从DB、IR到DB&IR的发展历程;阐述了DB&IR系统的设计考虑因素;讨论了DB&IR系统的体系架构设计问题;介绍了DB&IR系统所采用的基于关键词的查询技术;最后总结并展望未来的研究方向。The development process from DB, IR to DB&IR is presented first, followed by the detailed description of the consideration factors for the design and architecture of DB&IR system. Then keyword search in DB&IR system is discussed. Finally, some future trends in this area are discussed.国家自然科学基金No. 5060401

    Linear-Delay Enumeration for Minimal Steiner Problems

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    Kimelfeld and Sagiv [Kimelfeld and Sagiv, PODS 2006], [Kimelfeld and Sagiv, Inf. Syst. 2008] pointed out the problem of enumerating KK-fragments is of great importance in a keyword search on data graphs. In a graph-theoretic term, the problem corresponds to enumerating minimal Steiner trees in (directed) graphs. In this paper, we propose a linear-delay and polynomial-space algorithm for enumerating all minimal Steiner trees, improving on a previous result in [Kimelfeld and Sagiv, Inf. Syst. 2008]. Our enumeration algorithm can be extended to other Steiner problems, such as minimal Steiner forests, minimal terminal Steiner trees, and minimal directed Steiner trees. As another variant of the minimal Steiner tree enumeration problem, we study the problem of enumerating minimal induced Steiner subgraphs. We propose a polynomial-delay and exponential-space enumeration algorithm of minimal induced Steiner subgraphs on claw-free graphs. Contrary to these tractable results, we show that the problem of enumerating minimal group Steiner trees is at least as hard as the minimal transversal enumeration problem on hypergraphs

    Keyword Search over Relational Databases

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    介绍了基于关系数据库的关键词查询问题的研究背景;阐述了解决该问题的两大类方法,即基于数据图的方法和基于模式图的方法,并详细介绍了各种方法的原理以及各自的优缺点;最后展望了未来的研究方向。First, the research background of keyword search over relational databases is presented and is followed by a detailed description of two solutions to this problem, i.e., data graph based and schema graph based methods, and a discussion of the principles, advantages and disadvantages of these methods is also mentioned. Finally, some future trends in this area are discussed.Supported by the National Natural Science Foundation of China under Grant No.50604012 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2009AA01Z150 (国家高技术研究发展计划(863)
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