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A Linked Data Model for Facts, Statements and Beliefs

Published: 13 May 2019 Publication History
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  • Abstract

    A frequent journalistic fact-checking scenario is concerned with the analysis of statements made by individuals, whether in public or in private contexts, and the propagation of information and hearsay (“who said/knew what when”). Inspired by our collaboration with fact-checking journalists from Le Monde, France’s leading newspaper, we describe here a Linked Data (RDF) model, endowed with formal foundations and semantics, for describing facts, statements, and beliefs. Our model combines temporal and belief dimensions to trace propagation of knowledge between agents along time, and can answer a large variety of interesting questions through RDF query evaluation. A preliminary feasibility study of our model incarnated in a corpus of tweets demonstrates its practical interest.

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    Cited By

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    • (2022)Semantic Knowledge Graphs for the News: A ReviewACM Computing Surveys10.1145/354350855:7(1-38)Online publication date: 15-Dec-2022
    • (2021)Knowledge modeling: A survey of processes and techniquesInternational Journal of Intelligent Systems10.1002/int.2235736:4(1686-1720)Online publication date: 4-Jan-2021
    • (2020)News Articles and Facts Modeling: Linked Data or Linked Fact2020 International Conference on Advances in Computing and Communication Engineering (ICACCE)10.1109/ICACCE49060.2020.9154931(1-6)Online publication date: Jun-2020

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          cover image ACM Other conferences
          WWW '19: Companion Proceedings of The 2019 World Wide Web Conference
          May 2019
          1331 pages
          ISBN:9781450366755
          DOI:10.1145/3308560
          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]

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          • IW3C2: International World Wide Web Conference Committee

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          Published: 13 May 2019

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          Author Tags

          1. Data journalism
          2. fact-checking
          3. linked data
          4. tweet analysis

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          • Refereed limited

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          WWW '19
          WWW '19: The Web Conference
          May 13 - 17, 2019
          San Francisco, USA

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          Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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          Cited By

          View all
          • (2022)Semantic Knowledge Graphs for the News: A ReviewACM Computing Surveys10.1145/354350855:7(1-38)Online publication date: 15-Dec-2022
          • (2021)Knowledge modeling: A survey of processes and techniquesInternational Journal of Intelligent Systems10.1002/int.2235736:4(1686-1720)Online publication date: 4-Jan-2021
          • (2020)News Articles and Facts Modeling: Linked Data or Linked Fact2020 International Conference on Advances in Computing and Communication Engineering (ICACCE)10.1109/ICACCE49060.2020.9154931(1-6)Online publication date: Jun-2020

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