Ontology Summit 2016 Communique: Ontologies within semantic interoperability ecosystems

@article{Fritzsche2017OntologyS2,
  title={Ontology Summit 2016 Communique: Ontologies within semantic interoperability ecosystems},
  author={Donna M. Fritzsche and Michael Gr{\"u}ninger and Kenneth Baclawski and Mike Bennett and Gary Berg-Cross and Todd Schneider and Ram D. Sriram and Mark Underwood and Andrea Westerinen},
  journal={Appl. Ontology},
  year={2017},
  volume={12},
  pages={91-111}
}
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16 Citations
Highly Influential Citations
2
Background Citations
8
Methods Citations
3

16 Citations

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The aim is to define what is common and what separates knowledge organization systems from ontologies and why converting former KOSs into ontologies is preferred and in the end interoperability issues are discussed.
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This double review of Big Data and Deep Learning aims to shed some light on the current state of these different, yet somehow related branches of Data Science, in order to understand theCurrent state and future evolution within the healthcare area.
Information Search, Integration, and Personalization: 12th International Workshop, ISIP 2018, Fukuoka, Japan, May 14–15, 2018, Revised Selected Papers
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Details of Keynote Talks Market Design for Constrained Matching, a meta-modelling framework for constrained matchmaking, and its applications in the rapidly changing environment are discussed.
Towards an Ontology-Based Framework for a Behavior-Oriented Integration of the IoT
We present a prototype version of an ontology-based framework, called PROF-ONTO, that integrates IoT devices and users with domotic environments. PROF-ONTO is based on a novel OWL 2 ontology, called…
A Domain-Independent Ontology for Capturing Scientific Experiments
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This paper proposes a methodology and underlying ontologies and solutions with the view to facilitate for the scientist the task of creating an ontology that captures the specificities of the domain of interest by combining existing well-known ontologies.
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References

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TLDR
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