Difference between revisions of "Ontology"
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| − | + | {{glossary}}<onlyinclude>'''Ontology''' (from the Greek ὄν, genitive ὄντος: "of that which is", and -λογία, -logia: ''science'', ''study'', ''theory'') is the philosophical study of the nature of ''being, existence'' or ''reality'' as such, as well as the basic [[w:category of being|categories of being]] and their relations. Traditionally listed as a part of the major branch of philosophy known as [[w:metaphysics|metaphysics]], ontology deals with questions concerning what entities exist or can be said to exist, and how such entities can be grouped, related within a hierarchy, and subdivided according to similarities and differences. Ontology asks in what sense the items in those categories can be said to "be". | |
| − | + | In the context of information technology, an '''ontology''' formally represents knowledge as a set of concepts within a particular [[w:Domain of discourse|domain]], and the relationships between those concepts. In theory, an ontology is a "formal, explicit specification of a shared conceptualisation". An ontology renders shared vocabulary and taxonomy, which models a domain – that is, the definition of objects and/or concepts, and their properties and relations. | |
| − | + | Ontologies are the structural frameworks for organising information and are these days extensively used in all areas of technology and industry as a form of [[w:knowledge representation|knowledge representation]] about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an [[w:enterprise architecture framework]]. | |
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| − | == | + | == Enterprise architecture framework == |
| − | + | An [[w:Enterprise Architecture Framework|Enterprise Architecture Framework]] is a [[w:Conceptual framework|framework]] for an [[w:Enterprise Architecture|Enterprise Architecture]] which defines how to organize the structure and [[w:view model|views]] associated with an Enterprise Architecture. | |
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| − | + | The three components of the enterprise architecture framework are: | |
| − | + | * '''Views''': provide the mechanisms for communicating information about the relationships that are important in the architecture | |
| + | * '''Methods''': provide the discipline to gather and organize the data and construct the views in a way that helps ensure integrity, accuracy and completeness | ||
| + | * '''Training/Experience''': support the application of method and use of tools | ||
| − | + | Because the discipline of ''Enterprise engineering'' and ''Enterprise Architecture'' is so broad, and because enterprises can be large and complex, the models associated with the discipline also tend to be large and complex. To manage this scale and complexity, an Architecture Framework provides tools and methods that can bring the task into focus and allow valuable artifacts to be produced when they are most needed. | |
| − | + | Architecture Frameworks are commonly used in Information technology and Information system [[governance]]. An organisation may wish to mandate that certain models be produced before a [[system]] design can be approved. Similarly, they may wish to specify certain views be used in the documentation of procured systems - for example the [[w:United States Department of Defense|U.S. Department of Defense]] stipulates that specific [[w:DoDAF|DoDAF]] views be provided by equipment suppliers for capital project above a certain value. | |
| − | == | + | == Operations research == |
| − | + | [[w:Operations research|Operations research]] (also referred to as '''decision science''', or '''management science''') is an interdisciplinary mathematical science that focuses on the effective ''use'' of technology by organizations. In contrast, many other science & engineering disciplines focus on technology giving secondary considerations to its use. | |
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| − | + | Employing techniques from other mathematical sciences — such as mathematical modelling, statistical analysis, and mathematical optimisation — operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and management science, and draws on psychology and organisation science. Operations Research is often concerned with determining the [[w:Maxima and minima|maximum]] (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries. | |
| − | The | + | == Overview == |
| + | The term ''ontology'' has its origin in philosophy, and has been applied in many different ways. The word "ontology" comes from the Greek ''ὄν'' (on), which literally means 'existence'. The core meaning within computer science is a model for describing the world that consists of a set of types, properties, and relationship types. Exactly what is provided around these varies, but they are the essentials of an ontology. There is also generally an expectation that there be a close resemblance between the real world and the features of the model in an ontology. | ||
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== See also == | == See also == | ||
| − | *[[ | + | *[[Wikipedia:Ontology (information science)]] |
| + | *[[Wikipedia:Enterprise architecture]] | ||
| + | *[[Wikipedia:Operations research]] | ||
| + | *[[Unified ontology]] | ||
*[[Web 3.0]] | *[[Web 3.0]] | ||
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*[http://ontology.buffalo.edu/smith/articles/ontologies.htm Introduction to Ontology] ''- [[w:Barry Smith (ontologist)|Barry Smith]] (he's heavily influenced by [[w:Husserl|Husserl]] - particularly Husserl's "Logical Investigations")'' | *[http://ontology.buffalo.edu/smith/articles/ontologies.htm Introduction to Ontology] ''- [[w:Barry Smith (ontologist)|Barry Smith]] (he's heavily influenced by [[w:Husserl|Husserl]] - particularly Husserl's "Logical Investigations")'' | ||
[[Category:Web3.0]] | [[Category:Web3.0]] | ||
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Revision as of 00:45, 8 August 2011
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Ontology (from the Greek ὄν, genitive ὄντος: "of that which is", and -λογία, -logia: science, study, theory) is the philosophical study of the nature of being, existence or reality as such, as well as the basic categories of being and their relations. Traditionally listed as a part of the major branch of philosophy known as metaphysics, ontology deals with questions concerning what entities exist or can be said to exist, and how such entities can be grouped, related within a hierarchy, and subdivided according to similarities and differences. Ontology asks in what sense the items in those categories can be said to "be".
In the context of information technology, an ontology formally represents knowledge as a set of concepts within a particular domain, and the relationships between those concepts. In theory, an ontology is a "formal, explicit specification of a shared conceptualisation". An ontology renders shared vocabulary and taxonomy, which models a domain – that is, the definition of objects and/or concepts, and their properties and relations.
Ontologies are the structural frameworks for organising information and are these days extensively used in all areas of technology and industry as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an w:enterprise architecture framework.
Enterprise architecture framework
An Enterprise Architecture Framework is a framework for an Enterprise Architecture which defines how to organize the structure and views associated with an Enterprise Architecture.
The three components of the enterprise architecture framework are:
- Views: provide the mechanisms for communicating information about the relationships that are important in the architecture
- Methods: provide the discipline to gather and organize the data and construct the views in a way that helps ensure integrity, accuracy and completeness
- Training/Experience: support the application of method and use of tools
Because the discipline of Enterprise engineering and Enterprise Architecture is so broad, and because enterprises can be large and complex, the models associated with the discipline also tend to be large and complex. To manage this scale and complexity, an Architecture Framework provides tools and methods that can bring the task into focus and allow valuable artifacts to be produced when they are most needed.
Architecture Frameworks are commonly used in Information technology and Information system governance. An organisation may wish to mandate that certain models be produced before a system design can be approved. Similarly, they may wish to specify certain views be used in the documentation of procured systems - for example the U.S. Department of Defense stipulates that specific DoDAF views be provided by equipment suppliers for capital project above a certain value.
Operations research
Operations research (also referred to as decision science, or management science) is an interdisciplinary mathematical science that focuses on the effective use of technology by organizations. In contrast, many other science & engineering disciplines focus on technology giving secondary considerations to its use.
Employing techniques from other mathematical sciences — such as mathematical modelling, statistical analysis, and mathematical optimisation — operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and management science, and draws on psychology and organisation science. Operations Research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.
Overview
The term ontology has its origin in philosophy, and has been applied in many different ways. The word "ontology" comes from the Greek ὄν (on), which literally means 'existence'. The core meaning within computer science is a model for describing the world that consists of a set of types, properties, and relationship types. Exactly what is provided around these varies, but they are the essentials of an ontology. There is also generally an expectation that there be a close resemblance between the real world and the features of the model in an ontology.
At OrganicDesign we
See also
- Wikipedia:Ontology (information science)
- Wikipedia:Enterprise architecture
- Wikipedia:Operations research
- Unified ontology
- Web 3.0
- Introduction to Ontology - Barry Smith (he's heavily influenced by Husserl - particularly Husserl's "Logical Investigations")
