[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3269206.3269209acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
research-article

SOURCERY: User Driven Multi-Criteria Source Selection

Published: 17 October 2018 Publication History

Abstract

Data scientists are usually interested in a subset of sources with properties that are most aligned to intended data use. The SOURCERY system supports interactive multi-criteria user-driven source selection. SOURCERY allows a user to identify criteria they consider of importance and indicate their relative importance, and seeks a source selection result aligned to the user-supplied criteria preferences. The user is given an overview of the properties of the sources that are selected along with visual analyses contextualizing the result in relation to what is theoretically possible and what is possible given the set of available sources. The system also enables a user to interactively perform iterative fine-tuning to explore how changes to preferences may impact results.

References

[1]
Edward Abel, John Keane, Norman W. Paton, Alvaro A.A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Julio Cesar Cortes Rios, Nurzety A. Azuan, and Suzanne M. Embury . 2018. User driven multi-criteria source selection. Information Sciences Vol. 430--431 (2018), 179--199.
[2]
G B Crawford . 1987. The geometric mean procedure for estimating the scale of a judgement matrix. Mathematical Modelling Vol. 9, 3--5 (1987), 327--334.
[3]
Xin Luna Dong, Barna Saha, and Divesh Srivastava . 2012. Less is more. Proceedings of the VLDB Endowment Vol. 6, 2 (2012), 37--48.
[4]
Tim Furche, Georg Gottlob, Giovanni Grasso, Xiaonan Guo, Giorgio Orsi, Christian Schallhart, and Cheng Wang . 2014. DIADEM: Thousands of Websites to a Single Database. PVLDB, Vol. 7, 14 (2014).
[5]
Ixent Galpin, Edward Abel, and Norman W Paton . 2018. Source Selection Languages: A Usability Evaluation Proceedings of the Workshop on Human-In-the-Loop Data Analytics. ACM, 1--6.
[6]
Alon Halevy, Flip Korn, Natalya F. Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, and Steven Euijong Whang . 2016. Goods: Organizing Google's Datasets. In SIGMOD. ACM Press, New York, New York, USA, 795--806.
[7]
A Ishizaka, D Balkenborg, and T Kaplan . 2011. Does AHP help us make a choice? An experimental evaluation. JORS, Vol. 62, 10 (2011), 1801--1812.
[8]
A Ishizaka and Phillipe Nemery . 2013. Multicriteria decision analysis: methods and software. Wiley.
[9]
Ido Millet . 1997. The Effectiveness of Alternative Preference Elicitation Methods in the Analytic Hierarchy Process. Journal of Multi--Criteria Decision Analysis, Vol. 6, 1 (1997), 41--51.
[10]
Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, and Divesh Srivastava . 2016. SourceSight: Enabling Effective Source Selection ACM SIGMOD. 2157--2160.
[11]
Theodoros Rekatsinas and Lise Getoor . 2015. Finding Quality in Quantity : The Challenge of Discovering Valuable Sources for Integration. CIDR (2015).
[12]
Mariam Salloum, Xin Luna Dong, Divesh Srivastava, and Vassilis J. Tsotras . 2014. Online Ordering of Overlapping Data Sources. In VLDB 2014. 133--144.

Cited By

View all
  • (2020)HASSO: A Highly-Automated Source Selection and Ordering System Based on Data Quality Factors2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS)10.1109/ICACSIS51025.2020.9263243(155-164)Online publication date: 17-Oct-2020

Index Terms

  1. SOURCERY: User Driven Multi-Criteria Source Selection

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management
      October 2018
      2362 pages
      ISBN:9781450360142
      DOI:10.1145/3269206
      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: 17 October 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. multi-criteria decision analysis
      2. optimization
      3. source selection

      Qualifiers

      • Research-article

      Funding Sources

      • UK Engineering and Physical Sciences Research Council

      Conference

      CIKM '18
      Sponsor:

      Acceptance Rates

      CIKM '18 Paper Acceptance Rate 147 of 826 submissions, 18%;
      Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

      Upcoming Conference

      CIKM '25

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)2
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 14 Dec 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2020)HASSO: A Highly-Automated Source Selection and Ordering System Based on Data Quality Factors2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS)10.1109/ICACSIS51025.2020.9263243(155-164)Online publication date: 17-Oct-2020

      View Options

      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