Efficient query result retrieval over the Web

被引:0
|
作者
Chan, EPF [1 ]
Ueda, K [1 ]
机构
[1] Univ Waterloo, Dept Comp Sci, Waterloo, ON N2L 3G1, Canada
关键词
D O I
10.1109/ICPADS.2000.857695
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Consider a geographic information system (GIS) which is set up as a Web server that allows users to query the database with a Web browser. As the query result may be huge and the network delay could be significant, we investigate the fundamental problem of how to deliver the query result efficiently over the network. In a conventional client-server database system, the commonly used application programming interface (API) is the so-called iterator-based interface in which a client queries the server with an ISQL statement and the result, which is called a result or active set, is generated. To retrieve the query result, multiple calls are made to the server and objects in the result set are retrieved sequentially. To enhance system performance, objects in a result set can also be retrieved in bulk by storing them in, an array. In the Web environment. a database server is commonly implemented with a distributed object technology such as Java or CORBA. As network delay could be significant and the client memory spaces are limited and varying, neither multiple calls nor bulk retrieval is a viable solution to this problem. We propose a technique by caching and piping the result set through a socket connection without forfeiting the iterator-based interface. We show that the proposed method is superior in delivering a query result in a LAN and in the Web environment. We then investigate how to retrieve and display geometric data in a map efficiently in a network environment. We show by experiments that, compared to other R-tree variants, the class of Multi-scale R-tree is an excellent indexing structure for supporting the display functionality in, a GIS, especially when the system is set up as a Web server.
引用
收藏
页码:161 / 170
页数:10
相关论文
共 50 条
  • [31] Hybrid query processing for personalized information retrieval on the Semantic Web
    Yoo, Donghee
    KNOWLEDGE-BASED SYSTEMS, 2012, 27 : 211 - 218
  • [32] Automatic query structuring from sentences for Japanese web retrieval
    Department of Computer Science and Systems Engineering, Kobe University, 1-1 Rokkoudai, Nada-ku, Kobe 657-8501, Japan
    Int Conf Inf Knowledge Manage, (55-62):
  • [33] Query relaxation by structure and semantics for retrieval of logical Web documents
    Li, WS
    Candan, KS
    Vu, Q
    Agrawal, D
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2002, 14 (04) : 768 - 791
  • [34] Online Query Expansion Hashing for Efficient Image Retrieval
    Cui, Hui
    Li, Fengling
    Zhu, Lei
    Li, Jingjing
    Zhang, Zheng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (03) : 1941 - 1953
  • [35] Efficient Multimedia Information Retrieval with Query Level Fusion
    Sattari, Saeid
    Yazici, Adnan
    FLEXIBLE QUERY ANSWERING SYSTEMS 2015, 2016, 400 : 367 - 379
  • [36] Ranked Window Query Retrieval over Video Repositories
    Chen, Yueting
    Yu, Xiaohui
    Koudas, Nick
    2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), 2022, : 2776 - 2791
  • [37] Result Ranking Of XML Keyword Query Over XML Document
    Ye, Yushan
    Xie, Kai
    Li, Tong
    He, Nannan
    2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI), 2017,
  • [38] An Efficient Multi Query System for Content Based Image Retrieval Using Query Replacement
    Vimina, E. R.
    Ramakrishnan, K.
    Nandakumar, Navya
    Jacob, Poulose K.
    2015 16TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD), 2015, : 43 - 47
  • [39] Scalable and Efficient Web Search Result Diversification
    Naini, Kaweh Djafari
    Altingovde, Ismail Sengor
    Siberski, Wolf
    ACM TRANSACTIONS ON THE WEB, 2016, 10 (03)
  • [40] Efficient Query Processing for Web Search Engine with FPGAs
    Yan, Jing
    Zhao, Zhang-Xiang
    Xu, Ning-Yi
    Jin, Xi
    Zhang, Lin-Tao
    Hsu, Feng-Hsiung
    2012 IEEE 20TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM), 2012, : 97 - 100