Retrieval of Heterogeneous Data from Dynamic and Anonymous Sources

被引:0
|
作者
Lohrer, Johannes-Y [1 ]
Kaltenthaler, Daniel [1 ]
Richter, Florian [1 ]
Sizova, Tatiana [1 ]
Kroeger, Peer [1 ]
van der Meijden, Christiaan H. [2 ]
机构
[1] Ludwig Maximilians Univ Munchen, Inst Informat, Lehrstuhl Datenbanksyst & Data Min, Munich, Germany
[2] Ludwig Maximilians Univ Munchen, Med Fak, Inst Med Informationsverarbeitung Biometrie & Epi, Munich, Germany
关键词
ARCHITECTURE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distributed knowledge is both a valuable asset and difficult to utilize. Uncountable data sources in many different fields (e.g. science, business, education) are used mostly isolated. Trying to combine and mine their wealth of information often rises the problem of missing a central link to mediate between differently designed data systems. In dynamic environments with data sources, that can change their availability and structure over time, the management of a central mediator-based system is too a We propose an information system that transfers the management of data sources to the client-side, allowing data owners to keep full control over the third-party data access while providing simple administration. Data owners can register their data sources directly. Queries are forwarded to he translated on the data source level. In contrast to a centralized mediator-based system, which is not suitable for dynamic retrieval and flexible adjustment of heterogeneous data, our system provides the adaptability to keep query responses accurate in case of evolving data sources.
引用
收藏
页码:592 / 597
页数:6
相关论文
共 50 条
  • [1] Information Retrieval from Heterogeneous Data Sources: An Application for Managing Medical Records
    Rosa-Paz, Darien
    Perez-Vazquez, Ramiro
    Fernandez-Luna, Juan M.
    Huete, Juan F.
    ENTERPRISE INFORMATION SYSTEMS, PT 3, 2011, 221 : 146 - +
  • [2] PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources
    Daniel Perez-Gil
    Francisco J. Lopez
    Joaquin Dopazo
    Pablo Marin-Garcia
    Augusto Rendon
    Ignacio Medina
    BMC Bioinformatics, 20
  • [3] GeoST: Geographic, Thematic and Temporal Information Retrieval from Heterogeneous Web Data Sources
    Mata, Felix
    Claramunt, Christophe
    WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS, 2011, 6574 : 5 - +
  • [4] Retrieval and Management of Scientific Information from Heterogeneous Sources
    Gawrysiak, Piotr
    Ryzko, Dominik
    Wiech, Przemyslaw
    Kozlowski, Marek
    INTELLIGENT TOOLS FOR BUILDING A SCIENTIFIC INFORMATION PLATFORM, 2012, 390 : 37 - +
  • [5] PyCellBase, an efficient python']python package for easy retrieval of biological data from heterogeneous sources
    Perez-Gil, Daniel
    Lopez, Francisco J.
    Dopazo, Joaquin
    Marin-Garcia, Pablo
    Rendon, Augusto
    Medina, Ignacio
    BMC BIOINFORMATICS, 2019, 20 (1)
  • [6] SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
    Zhang, Heidi C.
    Semnani, Sina J.
    Ghassemi, Farhad
    Xu, Jialiang
    Liu, Shicheng
    Lam, Monica S.
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 1663 - 1678
  • [7] Semantic brokering over dynamic heterogeneous data sources in InfoSleuth™
    Nodine, M
    Bohrer, W
    Ngu, AHH
    15TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS, 1999, : 358 - 365
  • [8] Story creation from heterogeneous data sources
    Fayzullin, Marat
    Subrahmanian, V. S.
    Albanese, Massimiliano
    Cesarano, Carmine
    Picariello, Antonio
    MULTIMEDIA TOOLS AND APPLICATIONS, 2007, 33 (03) : 351 - 377
  • [9] Story creation from heterogeneous data sources
    Marat Fayzullin
    V. S. Subrahmanian
    Massimiliano Albanese
    Carmine Cesarano
    Antonio Picariello
    Multimedia Tools and Applications, 2007, 33 : 351 - 377
  • [10] More Complete Resultset Retrieval from Large Heterogeneous RDF Sources
    Valdestilhas, Andre
    Soru, Tommaso
    Saleem, Muhammad
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE CAPTURE (K-CAP '19), 2019, : 223 - 230