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  • noun

Words related to ontology

(computer science) a rigorous and exhaustive organization of some knowledge domain that is usually hierarchical and contains all the relevant entities and their relations

the metaphysical study of the nature of being and existence

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References in periodicals archive ?
Keywords: workflow model, interoperability, semantic annotations, ontologies, common workflow ontology, common process semantic annotation model
Fonseca and Egenhofer (1999) use multiple ontologies with an object-oriented environment for GIS interoperability.
The potential role of ontologies for the use of data mining in business processes
Ontology for a manufacturing enterprise can be developed by extending or reusing the ontologies of sub-domains of manufacturing such as material handling, inventory control, shop floor, factory, enterprise control and supply chain management.
Ontologies of complex features control the function of triples and connection of elements between classification systems by applying logical reasoning through the use of Web Ontology Language (OWL).
Ontologies nowadays, as modern knowledge bases, serve as a knowledge representation technology that has been used to describe large number of domains.
The remaining papers are presented in sections on fundamentals, quality and quantity, applications, ontology building, biomedical and chemical ontologies, products and functions, and verification and evaluation.
The partnership will focus on development of the next generation of the UMBEL and PROTON ontologies, as well as tools and applications based on them.
Designers apply core ontologies to map domain concepts into well defined and stable categories (Gangemi, Guarino, Masolo, Oltramari, & Schneider, 2002; Geerts & McCarthy, 2000; Magro & Goy, 2008; Yarimagan & Dogac, 2009).
Ontologies provide a way of capturing a shared understanding of a domain that can be used both by humans and systems to aid in information exchange and integration"(-3).
Ontologies are becoming increasingly important in artificial intelligence, software engineering, bioinformatics, library science, information system architecture, software agents, e-commerce, natural language processing, information query systems, knowledge management and Semantic Web applications as a form of knowledge representation about the world or some part of it.
We will abandon the idea of a single, correct ontology, and instead see ontologies as pragmatic recommendations about how to view beings.
The Semantic Web provides a framework of W3C (World Wide Web Consortium) standards that allows data to be mapped to multiple ontologies and consequently to be shared and reused across applications, the enterprise and communities.
The framework that we offer is an ontology-based authoring environment, since we see the use of ontologies as effective means to have structured content and knowledge engineering.
In this review we discuss several issues common to such databases: the requirement for identifying minimal descriptors to represent the experiment, the demand for standardizing data storage and exchange formats, the challenge of creating standardized nomenclature and ontologies to describe biological data, the technical problems involved in data upload, the necessity of defining parameters that assess and record data quality, and the development of standardized analytical approaches.
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