ontology

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on·tol·o·gy

(on-tol'ŏ-jē),
A traditional branch of metaphysics that deals with problems of being, existence, inner nature, meaning, etc. It is fundamental to problems involving normality and disease, individuality, responsibility, and the analysis of values. In recent years, it has been slowly assuming a place as a branch of medicine proper.

ontology

A formal specification of how to represent relationships among objects, concepts, and other entities belonging to a particular area of human experience or knowledge.

ontology (n·tˑ·l·gē),

n the metaphysical study of the state of being: focuses on the fundamentals of identity, disease, normalcy, and belief systems as they influence a person's existence.
References in periodicals archive ?
We introduce in that context, a set of common ontologies, including: Workflow ontology, domain specific ontology, etc.
They used a shared vocabulary, application ontologies, and subsumption reasoning and description logic (DL)-based queries.
Motivation of the authors for research on the use of ontologies and SOA for data mining was based on the aspiration to move the use of data mining in business processes to a higher level of maturity.
Building Geospatial Ontologies from Geographical Databases.
2008), a preliminary research had been conducted among undergraduate students (spring semester of year 2009/2010) with the purpose to detect whether they describe chosen domains with ontologies using their full potential.
UMBEL (Upper Mapping and Binding Exchange Layer) is both a vocabulary for building domain ontologies and a framework of more than 20,000 reference concepts.
The REA-EO\OWL ontology helps maintain relational consistency between ontologies by defining logical axioms and Table 1 presents examples of common OWL axioms.
The ontologies can be used to organize keywords, database concepts, and even unstructured data produced by multimedia applications, by capturing the semantic relationships among the numerous concepts that define the information space of interest.
The OntoQA [8] approach assesses quality of both ontology schemas as well as of populated ontologies (knowledge bases) through a set of metrics.
In this example, data from two different ontologies are merged into one RDF store without reprogramming the database to accept the new Uniprot annotations.
So, when we observe that many of those knowledge-based instructional systems share common architecture features, and we have the recent results in the use of ontologies, then we conclude that it has become possible to specify a reference architecture for concept-based intelligent educational systems.
Particularly in the case of biological data, the establishment of standard ontologies allows uniform analysis of diverse data (Ashburner et al.

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