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Applied ontology is of particular relevance to information and computer science, which develop conceptual frameworks of limited domains. These frameworks are used to store information in a structured way, such as a college database tracking academic activities. Ontology is relevant to the fields of logic, theology, and anthropology.
Description logic provides an extension of frame languages, without going so far as to take the leap to first-order logic and support for arbitrary predicates. KL-ONE; RACER; OWL. Gellish is an example of a combined ontology language and ontology that is description logic based. It distinguishes between the semantic differences among others of:
The description logic community uses different terminology than the first-order logic (FOL) community for operationally equivalent notions; some examples are given below. . The Web Ontology Language (OWL) uses again a different terminology, also given in the table bel
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects.
Individuals (instances) are the basic, "ground level" components of an ontology. The individuals in an ontology may include concrete objects such as people, animals, tables, automobiles, molecules, and planets, as well as abstract individuals such as numbers and words (although there are differences of opinion as to whether numbers and words are classes or individuals).
Description logic is a logic for automated classification of ontologies and for detecting inconsistent classification data. OWL is a language used to represent ontologies with description logic. Protégé is an ontology editor that can read in OWL ontologies and then check consistency with deductive classifiers such as such as HermiT. [89]
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similarity vs logic: this is the difference between matchings (predicating about the similarity of ontology terms), and mappings (logical axioms, typically expressing logical equivalence or inclusion among ontology terms) atomic vs complex: whether the alignments we considered are one-to-one, or can involve more terms in a query-like ...