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A New Fuzzy Ontology Development Methodology (FODM) Proposal [PDF]
IEEE Access, 2016 There is an upsurge in applying fuzzy ontologies to represent vague information in the knowledge representation field. Current research in the fuzzy ontologies paradigm mainly focuses on developing formalism languages to represent fuzzy ontologies ...
Xin Li +2 more
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Materials Data Science Ontology(MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science [PDF]
Scientific DataOntologies have gained popularity in the scientific community as a way to standardize terminologies in organizations’ data. Although certain cohorts have created frameworks with rules and guidelines on creating ontologies, there exist significant ...
Balashanmuga Priyan Rajamohan +27 more
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A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology [PDF]
Scientific DataThe Provenance Ontology (PROV-O) is a World Wide Web Consortium (W3C) recommended ontology used to structure data about provenance across a wide variety of domains.
Tim Prudhomme +6 more
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Sustainable Risk Identification Using Formal Ontologies
Algorithms, 2022 The cyber threat landscape is highly dynamic, posing a significant risk to the operations of systems and organisations. An organisation should, therefore, continuously monitor for new threats and properly contextualise them to identify and manage the ...
Avi Shaked, Oded Margalit
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The use of foundational ontologies in biomedical research
Journal of Biomedical Semantics, 2023 Background The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to define data and metadata concepts. Ontologies are currently modelled following different approaches, sometimes describing conflicting definitions of the ...
César H. Bernabé +6 more
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Construction of Fuzzy Ontologies from Fuzzy UML Models [PDF]
International Journal of Computational Intelligence Systems, 2013 The success and proliferation of the Semantic Web depends heavily on construction of Web ontologies. However, classical ontology construction approaches are not sufficient for handling imprecise and uncertain information that is commonly found in many ...
Fu Zhang, Z. M. Ma
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Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning. [PDF]
PLoS ONE, 2011 Researchers design ontologies as a means to accurately annotate and integrate experimental data across heterogeneous and disparate data- and knowledge bases.
Robert Hoehndorf +5 more
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, 2023 Formal ontology as a main branch of metaphysics investigates categories of being. In the formal ontological approach to metaphysics, these ontological categories are analysed by ontological forms. This analysis, which the Element illustrates by some category systems, provides a tool to assess the clarity, exactness and intelligibility of different ...
Hakkarainen Jani, Keinänen Markku
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Mappatura semantica di un percorso nella Napoli vichiana [PDF]
Laboratorio dell'ISPF, 2021 This paper describes the semantic mapping methodology we applied to define an integration model for describing the stages of an outdoor and indoor route within the historic center of Naples, dating back to between the 17th and 18th Centuries. We detailed
Ludovica Marinucci +1 more
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Formal Ontologies in Information Systems Development: A Systematic Review
Information, 2020 Computational ontologies are machine-processable structures which represent particular domains of interest. They integrate knowledge which can be used by humans or machines for decision making and problem solving.
Martina Husáková, Vladimír Bureš
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