OPEN—Enabling Non-expert Users to Extract, Integrate, and Analyze Open Data

被引:0
|
作者
Katrin Braunschweig
Julian Eberius
Maik Thiele
Wolfgang Lehner
机构
[1] Braunschweig, Katrin
[2] Eberius, Julian
[3] Thiele, Maik
[4] Lehner, Wolfgang
来源
Thiele, Maik (maik.thiele@tu-dresden.de) | 1600年 / Springer Medizin卷 / 12期
关键词
Semantics;
D O I
10.1007/s13222-012-0091-9
中图分类号
学科分类号
摘要
Government initiatives for more transparency and participation have lead to an increasing amount of structured data on the web in recent years. Many of these datasets have great potential. For example, a situational analysis and meaningful visualization of the data can assist in pointing out social or economic issues and raising people’s awareness. Unfortunately, the ad-hoc analysis of this so-called Open Data can prove very complex and time-consuming, partly due to a lack of efficient system support.
引用
收藏
页码:121 / 130
页数:9
相关论文
共 50 条
  • [1] Open Government Data for Non-expert Citizens: Understanding Content and Visualizations' Expectations
    Chokki, Abiola Paterne
    Simonofski, Anthony
    Frenay, Beno
    Vanderose, Beno
    RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS 2021), 2021, 415 : 602 - 608
  • [2] FLYAQ: Enabling Non-Expert Users to Specify and Generate Missions of Autonomous Multicopters
    Bozhinoski, Darko
    Di Ruscio, Davide
    Malavolta, Ivano
    Pelliccione, Patrizio
    Tivoli, Massimo
    2015 30TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE), 2015, : 801 - 806
  • [3] BPMN Update Proposal for Non-expert Users
    Szelagowski, Marek
    INTELLIGENT SYSTEMS IN PRODUCTION ENGINEERING AND MAINTENANCE, 2019, 835 : 681 - 691
  • [4] Natural Language Generation for Non-Expert Users
    Nguyen, Van Duc
    Son, Tran Cao
    Pontelli, Enrico
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2019, (306): : 280 - 294
  • [5] A survey on semi-structured web data manipulations by non-expert users
    Tekli, Gilbert
    COMPUTER SCIENCE REVIEW, 2021, 40
  • [6] DebateVis: Visualizing Political Debates for Non-Expert Users
    South, Laura
    Schwab, Michail
    Beauchamp, Nick
    Wang, Lu
    Wihbey, John
    Borkin, Michelle A.
    2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020), 2020, : 241 - 245
  • [7] Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users
    Martin, Kyle
    Liret, Anne
    Wiratunga, Nirmalie
    Owusu, Gilbert
    Kern, Mathias
    ARTIFICIAL INTELLIGENCE XXXVI, 2019, 11927 : 309 - 324
  • [8] Collecting Fuzzy Perceptions from Non-expert Users
    Barranquero Tolosa, Jose
    Guadarrama, Sergio
    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [9] A frame work for mining huge data by non-expert users with the assistance of knowledge base
    Vijayalakshmi, K. N. V. S. K.
    Malathi, J.
    Krishnaveni, G.
    INTERNATIONAL CONFERENCE ON COMPUTER VISION AND MACHINE LEARNING, 2019, 1228
  • [10] Subjective evaluation of music hall acoustics: Response of expert and non-expert users
    Galiana, Miguel
    Llinares, Carmen
    Page, Alvaro
    BUILDING AND ENVIRONMENT, 2012, 58 : 1 - 13