In both computer science and information science, an ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to define the domain. Ontologies are used in artificial intelligence, the Semantic Web, software engineering, biomedical informatics, library science, and information architecture as a form of knowledge representation about the world or some part of it. Common components of ontologies include: Ontologies are commonly encoded using ontology languages.
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| rdfs:label
| - Ontology (information science)
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| rdfs:comment
| - In both computer science and information science, an ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to define the domain. Ontologies are used in artificial intelligence, the Semantic Web, software engineering, biomedical informatics, library science, and information architecture as a form of knowledge representation about the world or some part of it. Common components of ontologies include: Ontologies are commonly encoded using ontology languages.
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| sameAs
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| dcterms:subject
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| dbkwik:freespeech/...iPageUsesTemplate
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| abstract
| - In both computer science and information science, an ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to define the domain. Ontologies are used in artificial intelligence, the Semantic Web, software engineering, biomedical informatics, library science, and information architecture as a form of knowledge representation about the world or some part of it. Common components of ontologies include:
* Individuals: instances or objects (the basic or "ground level" objects)
* Classes: sets, collections, concepts or types of objects
* Attributes: properties, features, characteristics, or parameters that objects (and classes) can have
* Relations: ways that classes and objects can be related to one another
* Function terms: complex structures formed from certain relations that can be used in place of an individual term in a statement
* Restrictions: formally stated descriptions of what must be true in order for some assertion to be accepted as input
* Rules: statements in the form of an if-then (antecedent-consequent) sentence that describe the logical inferences that can be drawn from an assertion in a particular form
* Axioms: assertions (including rules) in a logical form that together comprise the overall theory that the ontology describes in its domain of application. This definition differs from that of "axioms" in generative grammar and formal logic. In these disciplines, axioms include only statements asserted as a priori knowledge. As used here, "axioms" also include the theory derived from axiomatic statements.
* Events: the changing of attributes or relations Ontologies are commonly encoded using ontology languages.
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