Browsing by Subject "knowledge graphs"

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  • Causal Relationship over Knowledge Graphs 
    Huang, Hao (New York, NY : Association for Computing Machinery, 2022)
    Causality has been discussed for centuries, and the theory of causal inference over tabular data has been broadly studied and utilized in multiple disciplines. However, only a few works attempt to infer the causality while ...
  • Creation, Enrichment and Application of Knowledge Graphs 
    Gottschalk, Simon (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    The world is in constant change, and so is the knowledge about it. Knowledge-based systems - for example, online encyclopedias, search engines and virtual assistants - are thus faced with the constant challenge of collecting ...
  • Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts 
    Benítez-Andrades, José Alberto; García-Ordás, María Teresa; Russo, Mayra; Sakor, Ahmad; Fernandes Rotger, Luis Daniel; Vidal, Maria-Esther (Amsterdam : IOS Press, 2023)
    Social networks have become information dissemination channels, where announcements are posted frequently; they also serve as frameworks for debates in various areas (e.g., scientific, political, and social). In particular, ...
  • Orometric methods in bounded metric data 
    Stubbemann, Maximilian; Hanika, Tom; Stumme, Gerd (Berlin ; Heidelberg : Springer, 2020)
    A large amount of data accommodated in knowledge graphs (KG) is metric. For example, the Wikidata KG contains a plenitude of metric facts about geographic entities like cities or celestial objects. In this paper, we propose ...
  • Responsible Knowledge Management in Energy Data Ecosystems 
    Janev, Valentina; Vidal, Maria-Esther; Pujić, Dea; Popadić, Dušan; Iglesias, Enrique; Sakor, Ahmad; Čampa, Andrej (Basel : MDPI, 2022)
    This paper analyzes the challenges and requirements of establishing energy data ecosystems (EDEs) as data-driven infrastructures that overcome the limitations of currently fragmented energy applications. It proposes a new ...