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UWKGM: A Modular Platform for Knowledge Graph Management

Authors:

Natthawut Kertkeidkachorn,

Rungsiman Nararatwong,

Ryutaro IchiseAuthors Info & Claims

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Pages 3421 - 3424

https://doi.org/10.1145/3340531.3417441

Published: 19 October 2020 Publication History

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Abstract

A knowledge graph becomes a central data hub in the enterprise and the research communities. Nevertheless, the development of knowledge graphs is challenging due to the insufficient functionalities of knowledge graph management platforms. In this paper, we develop a knowledge graph management platform (UWKGM). This platform enables users to integrate arbitrary functionalities as RESTful API services in order to facilitate the knowledge graph development process. In the demonstration, we highlight the main features of UWKGM and its use cases on knowledge graph management tasks.

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Cited By

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Liu TZhang QWang MLi B(2024)Intelligent generation method of emergency plan based on knowledge graph2024 4th International Conference on Neural Networks, Information and Communication (NNICE)10.1109/NNICE61279.2024.10498620(1692-1698)Online publication date: 19-Jan-2024
https://doi.org/10.1109/NNICE61279.2024.10498620
Nararatwong RKertkeidkachorn NIchise R(2020)Knowledge Graph Visualization: Challenges, Framework, and Implementation2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)10.1109/AIKE48582.2020.00034(174-178)Online publication date: Dec-2020
https://doi.org/10.1109/AIKE48582.2020.00034

Index Terms

UWKGM: A Modular Platform for Knowledge Graph Management
1. Information systems
  1. Data management systems
  2. World Wide Web
    1. Web services
      1. RESTful web services

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Information

Published In

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

October 2020

3619 pages

ISBN:9781450368599

DOI:10.1145/3340531

General Chairs:
Mathieu d'Aquin
DSI, Insight, NUI Galway, Ireland
,
Stefan Dietze
GESIS, Cologne, Germany, Heinrich-Heine-University Düsseldorf, Germany, L3S Research Center, Germany
,
Program Chairs:
Claudia Hauff
TU Delft, The Netherlands
,
Edward Curry
DSI, Insight, NUI Galway, Ireland
,
Philippe Cudre Mauroux
eXascale, University of Fribourg, Switzerland

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2020

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CIKM '20

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CIKM '20: The 29th ACM International Conference on Information and Knowledge Management

October 19 - 23, 2020

Virtual Event, Ireland

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

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Liu TZhang QWang MLi B(2024)Intelligent generation method of emergency plan based on knowledge graph2024 4th International Conference on Neural Networks, Information and Communication (NNICE)10.1109/NNICE61279.2024.10498620(1692-1698)Online publication date: 19-Jan-2024
https://doi.org/10.1109/NNICE61279.2024.10498620
Nararatwong RKertkeidkachorn NIchise R(2020)Knowledge Graph Visualization: Challenges, Framework, and Implementation2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)10.1109/AIKE48582.2020.00034(174-178)Online publication date: Dec-2020
https://doi.org/10.1109/AIKE48582.2020.00034

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