Temporal Query Answering in a Fuzzy World

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Temporal Query Answering in a Fuzzy World

Veronika ThostVeronika Thost,  Erik ZenkerErik Zenker
Veronika Thost, Erik Zenker
Temporal Query Answering in a Fuzzy World
In Agata Filipowska and Ruben Verborgh and Axel Polleres, eds., Posters&Demos@SEMANTiCS 2015 and DSci15 Workshop, volume 1481 of CEUR Workshop Proceedings, 84-87, September 2015. CEUR-WS.org
  • KurzfassungAbstract
    Ontologies play a central role in semantic applications: by provid- ing semantics to the given data, they support the integration and automated processing of knowledge. Systems for ontology-based data access do however not take into account both the fuzzy and the temporal nature of the knowledge, which is often inherent in real- world data. In this paper, we propose an approach for temporal query answering over fuzzy data w.r.t. ontologies.
  • Bemerkung: Note: long title: Joint Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS2015 and 1st Workshop on Data Science: Methods, Technology and Applications (DSci15), Vienna, Austria, September 15-17, 2015.
  • Projekt:Project: HAEC B02HAEC B08
  • Forschungsgruppe:Research Group: AutomatentheorieAutomata TheoryWissensbasierte SystemeKnowledge-Based Systems
@inproceedings{TZ2015,
  author    = {Veronika Thost and Erik Zenker},
  title     = {Temporal Query Answering in a Fuzzy World},
  editor    = {Agata Filipowska and Ruben Verborgh and Axel Polleres},
  booktitle = {Posters\&Demos@SEMANTiCS 2015 and {DSci15} Workshop},
  series    = {CEUR Workshop Proceedings},
  volume    = {1481},
  publisher = {CEUR-WS.org},
  year      = {2015},
  month     = {September},
  pages     = {84-87}
}