Annotation
literal: Biswanath Dutta

Annotation
literal: version: 1.0 (revison: 0.1)

Annotation
literal: For any quesries to MOD metadata, contact Biswanath Dutta (DRTC, Indian Statistical Institute, Bangalore, India) Email: bisu@drtc.isibang.ac.in

Annotation
literal: MOD: Metadata for Ontology Description and publication

Annotation
literal: Durgesh Nandini

ClassAssertion
annotation:
  literal: An application ontology is an ontology engineered for a specific use or application focus and whose scope is specified through testable use cases. The application ontology will often use or reference canonical ontologies to construct ontological classes and relationships between classes. Application ontologies are used when modeling cross-domain experiments in biology, for data annotation or visualization and for producing data driven views across reference ontologies for specific user groups.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Application Ontology

ClassAssertion
annotation:
  literal: This type of ontology is linked to a domain but it integrates different viewpoints related to spe- cific group of users. This type of ontology is the result of the integration of several domain ontologies. A core reference ontology is often built to catch the central concepts and relations of the domain. Example: Hydrontology
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Core Reference Ontologies

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: A Creative Commons (CC) license is one of several public copyright licenses that enable the free distribution of an otherwise copyrighted work.
annotation:
  literal: Creative Commons

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Cyc

ClassAssertion
annotation:
  literal: Darpa Agent Markup Language

ClassAssertion
annotation:
  literal: DUET

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: DL is used in artificial intelligence for formal reasoning on the concepts of an application domain (known as terminological knowledge). It is of particular importance in providing a logical formalism for ontologies and the Semantic Web.
annotation:
  literal: Description Logic

ClassAssertion
annotation:
  literal: Domain ontology is only applicable to a domain with a specific view point. That is to say that this viewpoint defines how a group of users conceptualize and visualize some specific phenomenon. This domain ontology could be linked to a specific application: electric network management system for example.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Domain Ontology

ClassAssertion
annotation:
  literal: The ultimate knowledge representation formalism in terms of expressive power and compactness is First Order Logic (FOL). It was used by mathematicians to define general propositions about the world.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: First Order Logic

ClassAssertion
annotation:
  literal: F-logic combines the advantages of conceptual modeling with object-oriented, frame-based languages and offers a declarative, compact and simple syntax, as well as the well-defined semantics of a logic-based language. Features include, among others, object identity, complex objects, inheritance, polymorphism, query methods, encapsulation.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Frame

ClassAssertion
annotation:
  literal: General ontologies are not dedicated to a specific domain or fields. They contain general knowledge of a huge area. Example: OpenCyc Ontology
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: General Ontologies

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Gr€uuninger and Fox propose a methodology that is inspired on the development of knowledge - based systems usingfirst order logic.They propose first to identify intuitively the main scenarios (possible applications in which the ontology will be used). Then, a set of natural language questions, called competency questions, are used to determine the scope of the ontology. These questions and their answers are used both to extract the main concepts and their properties, relations and axioms on the ontology.
annotation:
  literal: Griinger and Fox methodology

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: The ontology is built on the basis of an application KB, by means of a process of abstraction (that is, following a bottom-up strategy).
annotation:
  literal: KACTUS

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Methontology is the most mature approach, and is recommended by FIPAfor the ontology construction task. The METHONTOLOGY frame- work enables the construction of ontologies at the knowledge level. It includes: the identification of the ontology development process, a life cycle based on evolving prototypes, and particular techniques to carry out each activity.
annotation:
  literal: Methontology

ClassAssertion
annotation:
  literal: Notation3, or N3 as it is more commonly known, is a shorthand non-XML serialization of Resource Description Framework models, designed with human-readability in mind: N3 is much more compact and readable than XML RDF notation.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Notation 3

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Web Ontology Language

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: On - To - Knowledge

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: A process ontology is a description of the components and their relationships that make up a process. A formal process ontology is an ontology in the knowledge domain of processes.
annotation:
  literal: Process Ontology

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Propositional Logic

ClassAssertion
annotation:
  literal: A glossary, also known as a vocabulary, or clavis, is an alphabetical list of terms in a particular domain of knowledge with the definitions for those terms. In a general sense, a glossary contains explanations of concepts relevant to a certain field of study or action.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Glossary

ClassAssertion
annotation:
  literal: It refers to a classification of things or concepts, as well as to the principles underlying such a classification. Taxonomy is different from meronomy which is dealing with the classification of parts of a whole
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Taxonomy

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: This approach promotes sharability of knowledge, since the same base ontology is used to develop ontologies in particular domains. The method based on Sensus is a top-down approach for deriving domain specific ontologies from huge ontologies.The authors propose to identify a set of ‘‘seed’' terms that are relevant to a particular domain. These terms are linked manually to a broad-coverage ontology.
annotation:
  literal: Sensus

ClassAssertion
annotation:
  literal: Task Ontology is a specification or detailed description of elements and relationships of tasks to explain how tasks can exist and be used in a specific field or environment.
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Task Ontology

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: Tove

ClassAssertion
annotation:
  literal: The Uschold and King’s method proposes four activities: (1) to identify the purpose of the ontology, (2) to build it, (3) to evaluate it, and (4) to document it.
annotation:
  literal: Uschold and King's method

ClassAssertion
annotation:
  literal: RDF/XML is a syntax,[1] defined by the W3C[2] , to express (i.e. serialize) an RDF graph as an XML document.
annotation:
  literal: RDF / XML

ClassAssertion
annotation: AnnotationProperty
annotation: AnonymousIndividual
annotation:
  literal: RadLex® is a reference ontology for the domai n of radiology and is an active, curated ontology.This License permits public access to the Release Version of RadLex® and makes it possible for Licensees to use it for clinical, research, educational and commercial activities without charge.
annotation:
  literal: RadLex®

DataPropertyAssertion
anonymous individual: AnonymousIndividual
literal: N3

DataPropertyAssertion
literal: ABCD

DataPropertyAssertion
literal: DDI

DataPropertyAssertion
literal: DIF

DataPropertyAssertion
literal: OAI - ORE

DataPropertyAssertion
literal: SDMX

DataPropertyAssertion
literal: QuDEx

AnnotationAssertion
abbreviated IRI: dc:contributer
literal: An agent who has contributed in making an ontology.

AnnotationAssertion
abbreviated IRI: dc:creator
literal: The creator of an ontology.

AnnotationAssertion
abbreviated IRI: dc:description
literal: A statement that represents something in words. It is the act of describing something. The description can include, for instance, the purpose of a thing, the scope, the area of applications of a thing, the history, etc.

AnnotationAssertion
abbreviated IRI: dc:format
literal: The file format of an ontological resource.

AnnotationAssertion
abbreviated IRI: dc:identifier
literal: An unambiguous reference to the resource within a given context.

AnnotationAssertion
abbreviated IRI: dc:language
literal: The natural language of an ontology.

AnnotationAssertion
abbreviated IRI: dc:subject
literal: The subject or the topic of an ontology.

AnnotationAssertion
abbreviated IRI: dc:type
literal: The nature or genre of the resource.

AnnotationAssertion
abbreviated IRI: dcmi:license
literal: A license under which an ontology is published.

AnnotationAssertion
IRI: Acronym
literal: A word formed from the initial letters of the several words in the name and pronounced as one word.

AnnotationAssertion
IRI: Acronym
literal: Acronym

AnnotationAssertion
IRI: DAML
literal: Darpa Agent Markup Language

AnnotationAssertion
IRI: DescriptionLogics
literal: Description Logics

AnnotationAssertion
IRI: Domain
literal: An area of knowledge or a flield of study that an ontology deals with. For example, Gene ontology, Movie onotology, Fishery ontology and Food ontology.

AnnotationAssertion
IRI: Domain
literal: Domain

AnnotationAssertion
IRI: DomainOntology
literal: Domain Ontology

AnnotationAssertion
IRI: FileFormat
literal: A file format of an ontology. For example .rdf, .owl, .xml, etc.

AnnotationAssertion
IRI: FileFormat
literal: File Format

AnnotationAssertion
IRI: FirstOrderLogic
literal: First Order Logic

AnnotationAssertion
IRI: Formal
literal: All the terms are defined formally, with established theorems and proofs.

AnnotationAssertion
IRI: Formal
literal: Formal

AnnotationAssertion
IRI: GNUFreeDocumentationLicense
literal: GNU Free Documentation License

AnnotationAssertion
IRI: GNUGeneralPublicLicense
literal: GNU General Public License

AnnotationAssertion
IRI: GeneralOntology
literal: General Ontology

AnnotationAssertion
IRI: GeneralOntology
literal: Top-Level Ontology

AnnotationAssertion
IRI: GeneralOntology
literal: Upper Level Ontology

AnnotationAssertion
IRI: KnowledgeRepresentationFormalism
literal: A representation formalism that is followed to describe knowledge in an ontology. Example includes description logics, first order logic, etc.

AnnotationAssertion
IRI: KnowledgeRepresentationFormalism
literal: Knowledge Representation Formalism

AnnotationAssertion
IRI: LevelOfFormality
literal: The degree or level of formality of an ontology. The level of formality varies from Rigorously formal, Semiformal, Informal, and Semiinformal.

AnnotationAssertion
IRI: LevelOfFormality
literal: Level Of Formality

AnnotationAssertion
IRI: License
literal: A legal document giving official permission to do something with an ontology. Example includes Apache license, Creative Commons Attribution License, GNU General Public License and GPL.

AnnotationAssertion
IRI: License
literal: License

AnnotationAssertion
IRI: OIL
literal: Ontology Interchange Language

AnnotationAssertion
IRI: OWL
literal: Web Ontology Language

AnnotationAssertion
IRI: Ontology
literal: A rigorous and exhaustive organization of some knowledge domain that is usually hierarchical and contains all the relevant entities and their relations. According to Studer et al., (1998), it is "a formal, explicit specification of a shared conceptualization."

AnnotationAssertion
IRI: Ontology
literal: Ontology

AnnotationAssertion
IRI: OntologyDesignLanguage
literal: A knowledge representation language using which an ontology is written. For example, RDFS, OWL, Ontolingua and Loom.

AnnotationAssertion
IRI: OntologyDesignLanguage
literal: Ontology Design Language

AnnotationAssertion
IRI: OntologyDesignMethodology
literal: A method(s) by which an ontology is created. Example includes Methontology, Tove, Cyc and YAMO.

AnnotationAssertion
IRI: OntologyDesignMethodology
literal: Ontology Design Methodology

AnnotationAssertion
IRI: OntologyDesignTool
literal: A tool that is used to create an ontology. Example includes Protege, OntoEdit, TopBraid, etc.

AnnotationAssertion
IRI: OntologyDesignTool
literal: Ontology Design Tool

AnnotationAssertion
IRI: OntologySyntax
literal: A syntax that is used to implement an ontology. Example includes RDF/XML, Notation3, n-triples, RDFa and Turtle.

AnnotationAssertion
IRI: OntologySyntax
literal: Ontology Syntax

AnnotationAssertion
IRI: OntologyType
literal: The kind of an ontology. Example includes Upper ontology, Domain Ontology, Application Ontology and Task ontology.

AnnotationAssertion
IRI: OntologyType
literal: Ontology Type

AnnotationAssertion
IRI: PropositionalLogics
literal: Propositional Logic

AnnotationAssertion
IRI: UscholdAndKingsMethod
literal: Uschold And King's Method

AnnotationAssertion
IRI: accessibility
literal: Information on access (i.e., read, download) to an ontology.

AnnotationAssertion
IRI: address
literal: The address of an agent.

AnnotationAssertion
IRI: classes
literal: The total number of classes in an ontology.

AnnotationAssertion
IRI: competencyQuestion
literal: A set of questions made to build an ontology at the design time.

AnnotationAssertion
IRI: country
literal: The country name.

AnnotationAssertion
IRI: creationDate
literal: The release date of an ontology.

AnnotationAssertion
IRI: document
literal: A link to the documentation page on a thing.

AnnotationAssertion
IRI: endorsedBy
literal: An ontology endorsed by an agent.

AnnotationAssertion
IRI: endorsedBy
literal: endorsed by

AnnotationAssertion
IRI: evaluatedBy
literal: An ontology that is evaluated by an agent.

AnnotationAssertion
IRI: evaluatedBy
literal: evaluated by

AnnotationAssertion
IRI: formalityLevel
literal: The level of formality of an ontology.

AnnotationAssertion
IRI: formalityLevel
literal: formality level

AnnotationAssertion
IRI: homepage
literal: Link to the homepage of a thing.

AnnotationAssertion
IRI: individuals
literal: The total number of individuals in an ontology.

AnnotationAssertion
IRI: keyword
literal: A keyword(s) is used to describe the content of an ontology. Keywords are basically uncontrolled and author defined words. Multiple entries in a keywords list are typically delimited by commas.

AnnotationAssertion
IRI: knowledgeRepresentationFormalism
literal: A knowledge representation formalism (e.g., description logics, first order logic) followed to create an ontology.

AnnotationAssertion
IRI: knowledgeRepresentationFormalism
literal: knowledge representation formalism

AnnotationAssertion
IRI: methodologyUsed
literal: A methodolgy follwoing which an ontology is created.

AnnotationAssertion
IRI: methodologyUsed
literal: methodology used

AnnotationAssertion
IRI: module
literal: The part(s) of the ontology, may refer to the same ontology or may be to different ontologies.

AnnotationAssertion
IRI: module
literal: module

AnnotationAssertion
IRI: numberOfAxioms
literal: The total number of axioms in an ontology.

AnnotationAssertion
IRI: numberOfAxioms
literal: number of axioms

AnnotationAssertion
IRI: ontologyInUse
literal: An ontology that is used in a project.

AnnotationAssertion
IRI: ontologyInUse
literal: ontology in use

AnnotationAssertion
IRI: ontologyLanguage
literal: A language that is used to create an ontology.

AnnotationAssertion
IRI: ontologyLanguage
literal: ontology design language

AnnotationAssertion
IRI: pin
literal: A pin code.

AnnotationAssertion
IRI: properties
literal: The total number of properties in an ontology.

AnnotationAssertion
IRI: size
literal: The size of the ontology.

AnnotationAssertion
IRI: sourceOntology
literal: The ontology(ies) referred to while creating the present ontology.

AnnotationAssertion
IRI: sourceOntology
literal: source ontology

AnnotationAssertion
IRI: sponseredBy
literal: An ontology that is sponsored by and developed under a project.

AnnotationAssertion
IRI: sponseredBy
literal: sponsered by

AnnotationAssertion
IRI: state
literal: The state or the province name.

AnnotationAssertion
IRI: status
literal: The status of an released ontology (i.e. whether completed or an intermediated version, authorized or not, etc.)

AnnotationAssertion
IRI: street
literal: The street address.

AnnotationAssertion
IRI: syntax
literal: The syntax followed in the creation of an ontology.

AnnotationAssertion
IRI: syntax
literal: syntax

AnnotationAssertion
IRI: toolUsed
literal: The tool used for the creation of an ontology.

AnnotationAssertion
IRI: toolUsed
literal: tool used

AnnotationAssertion
IRI: version
literal: The version of the released ontology.

AnnotationAssertion
IRI: vocabularyUsed
literal: A vocabulary(ies) that is used and/or referred to create the current ontology.

AnnotationAssertion
IRI: vocabularyUsed
literal: vocabulary used

AnnotationAssertion
abbreviated IRI: skos:altLabel
literal: The alternative name for the specified thing.

AnnotationAssertion
abbreviated IRI: skos:altLabel
literal: Alt Label

AnnotationAssertion
abbreviated IRI: foaf:Agent
literal: A resource that acts or has the power to act. Example of Agents include person and organization.

AnnotationAssertion
abbreviated IRI: foaf:Organisation
literal: An agent corresponding to social institutions such as companies, associations, etc., that has a collective goal.

AnnotationAssertion
abbreviated IRI: foaf:Person
literal: A human being (alive, dead, undead, real or imaginary).

AnnotationAssertion
abbreviated IRI: foaf:Project
literal: Any piece of work that is undertaken or attempted.

AnnotationAssertion
abbreviated IRI: foaf:firstName
literal: The first name of a person.

AnnotationAssertion
abbreviated IRI: foaf:lastName
literal: The last name of a person.

AnnotationAssertion
abbreviated IRI: foaf:mbox
literal: The email address of an agent.

AnnotationAssertion
abbreviated IRI: foaf:name
literal: The name for some thing.

AnnotationAssertion
abbreviated IRI: foaf:phone
literal: A phone, specified using fully qualified telelephone number.