Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1807167.1807286acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
research-article

Google fusion tables: web-centered data management and collaboration

Published: 06 June 2010 Publication History
  • Get Citation Alerts
  • Abstract

    It has long been observed that database management systems focus on traditional business applications, and that few people use a database management system outside their workplace. Many have wondered what it will take to enable the use of data management technology by a broader class of users and for a much wider range of applications.
    Google Fusion Tables represents an initial answer to the question of how data management functionality that focused on enabling new users and applications would look in today's computing environment. This paper characterizes such users and applications and highlights the resulting principles, such as seamless Web integration, emphasis on ease of use, and incentives for data sharing, that underlie the design of Fusion Tables. We describe key novel features, such as the support for data acquisition, collaboration, visualization, and web-publishing.

    References

    [1]
    M. J. Cafarella, A. Halevy, Y. Zhang, D. Z. Wang, and E. Wu. WebTables: Exploring the Power of Tables on the Web. In VLDB, 2008.
    [2]
    Google Brings Water Data to Life. http://www.circleofblue.org/waternews/2009/world/google-brings-water-data-to-life/.
    [3]
    M. Franklin, A. Y. Halevy, and D. Maier. From databases to dataspaces: a new abstraction for information management. In SIGMOD Record, 2005.
    [4]
    H. Gonzalez, A. Halevy, C. Jensen, A. Langen, J. Madhavan, R. Shapley, and W. Shen. Google fusion tables: Data management, integration and collaboration in the cloud. In SOCC, 2010.
    [5]
    H. V. Jagadish, A. Chapman, A. Elkiss, M. Jayapandian, Y. Li, A. Nandi, and C. Yu. Making database systems usable. In SIGMOD, 2007.
    [6]
    MTBGuru tracks as seen through Google Fusion Tables. http://blog.mtbguru.com/2010/02/24/mtbguru-tracks-as-seen-through-google-fusion-tables/.
    [7]
    B. Shneiderman. Extreme visualization: squeezing a billion records into a million pixels. In SIGMOD, 2008.
    [8]
    F. B. Viégas and M. Wattenberg. Transforming data access through public visualization. In SIGMOD, 2009.

    Cited By

    View all
    • (2023)A Technique for Generating Preliminary Satellite Data to Evaluate SUHI Using Cloud Computing: A Case Study in Moscow, RussiaRemote Sensing10.3390/rs1513329415:13(3294)Online publication date: 27-Jun-2023
    • (2022)Privacy-aware sharing and collaborative analysis of personal wellness data: Process model, domain ontology, software system and user trialPLOS ONE10.1371/journal.pone.026599717:4(e0265997)Online publication date: 7-Apr-2022
    • (2021)Non-Communicable Diseases and Social Media: A Heart Disease Symptoms ApplicationJournal of Information & Knowledge Management10.1142/S021964922150043X20:04Online publication date: 30-Aug-2021
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
    June 2010
    1286 pages
    ISBN:9781450300322
    DOI:10.1145/1807167
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 June 2010

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. cloud services
    2. collaboration
    3. visualization

    Qualifiers

    • Research-article

    Conference

    SIGMOD/PODS '10
    Sponsor:
    SIGMOD/PODS '10: International Conference on Management of Data
    June 6 - 10, 2010
    Indiana, Indianapolis, USA

    Acceptance Rates

    Overall Acceptance Rate 785 of 4,003 submissions, 20%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)29
    • Downloads (Last 6 weeks)3

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)A Technique for Generating Preliminary Satellite Data to Evaluate SUHI Using Cloud Computing: A Case Study in Moscow, RussiaRemote Sensing10.3390/rs1513329415:13(3294)Online publication date: 27-Jun-2023
    • (2022)Privacy-aware sharing and collaborative analysis of personal wellness data: Process model, domain ontology, software system and user trialPLOS ONE10.1371/journal.pone.026599717:4(e0265997)Online publication date: 7-Apr-2022
    • (2021)Non-Communicable Diseases and Social Media: A Heart Disease Symptoms ApplicationJournal of Information & Knowledge Management10.1142/S021964922150043X20:04Online publication date: 30-Aug-2021
    • (2021)A Survey on Data Collection for Machine Learning: A Big Data - AI Integration PerspectiveIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.294616233:4(1328-1347)Online publication date: 1-Apr-2021
    • (2020)Crowdsourcing applications and platformsProceedings of the VLDB Endowment10.14778/3402755.34028094:12(1508-1509)Online publication date: 3-Jun-2020
    • (2020)Microsoft codename "Montego"Proceedings of the VLDB Endowment10.14778/3402755.34027944:12(1454-1457)Online publication date: 3-Jun-2020
    • (2020)The evolutionary characteristics of higher education studies worldwide: central themes and regionsStudies in Higher Education10.1080/03075079.2020.173533146:12(2568-2580)Online publication date: 5-Mar-2020
    • (2020)TS-DBSCAN: To Detect Trajectory Anomaly for Transportation VehiclesGenetic and Evolutionary Computing10.1007/978-981-15-3308-2_18(151-160)Online publication date: 13-Mar-2020
    • (2019)TableNet: An Approach for Determining Fine-grained Relations for Wikipedia TablesThe World Wide Web Conference10.1145/3308558.3313629(2736-2742)Online publication date: 13-May-2019
    • (2019)Towards Democratizing Relational Data VisualizationProceedings of the 2019 International Conference on Management of Data10.1145/3299869.3314029(2025-2030)Online publication date: 25-Jun-2019
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media