Domain Specific Ontology: Difference between revisions
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A [[Domain Specific Ontology|domain specific ontology]] is an [[ontology]] that is a [[domain-specific KB]]. | A [[Domain Specific Ontology|domain specific ontology]] is an [[ontology]] that is a [[domain-specific KB]]. | ||
* | * <U>AKA</U>: [[Situated Ontology]], [[Domain Ontology]]. | ||
* <B><U>Context</U>:</B> | * <B><U>Context</U>:</B> | ||
** It can be used by a [[Knowledge-based Solution]]. | ** It can be used by a [[Knowledge-based Solution]]. | ||
Revision as of 21:35, 17 August 2014
A domain specific ontology is an ontology that is a domain-specific KB.
- AKA: Situated Ontology, Domain Ontology.
- Context:
- It can be used by a Knowledge-based Solution.
- It can (typically) be incomplete because of the Knowledge_Acquisition_Bottleneck.
- It can range from being a Lightweight Domain Specific Ontology to being a Heavyweight Domain Specific Ontology.
- Example(s):
- a Biological Ontology, such as GO gene ontology.
- a Biomedical Ontology, such as FMA Human Anatomy Ontology.
- a Data Mining Ontology, such as kddo1.
- a Bibliographic Ontology, such as Dublin Core Ontology.
- a Terminological Ontology.
- a Biological Ontology, such as GO gene ontology.
- Counter-Example(s):
- an Upper-level Ontology, such as SUMO.
- a Domain-Specific Glossary.
- a Domain Text.
- See: Task Ontology
References
2011
- http://en.wikipedia.org/wiki/Ontology_%28information_science%29#Domain_ontologies_and_upper_ontologies
- A domain ontology (or domain-specific ontology) models a specific domain, or part of the world. It represents the particular meanings of terms as they apply to that domain. For example the word card has many different meanings. An ontology about the domain of poker would model the "playing card" meaning of the word, while an ontology about the domain of computer hardware would model the "punched card" and "video card" meanings.
2006
- (Ordnance Survey Research, 2006) ⇒ Ordnance Survey Research. (2006). "A Methodology For Building Conceptual Domain Ontologies.
1995
- (Mizoguchi & al, 1995) ⇒ R. Mizoguchi J. Van Welkenhuysen, and M. Ikeda. (1995). "Task Ontology for Reuse of Problem Solving Knowledge." Towards Very Large Knowledge Bases, N.J.I. Mars, ed., IOS Press.
- (Mahesh and Nirenburg, 1995) ⇒ Kavi Mahesh, and Sergei Nirenburg (1995). "A Situated Ontology for Practical NLP." In: Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing, International Joint Conference on Artificial Intelligence (IJCAI 1995).
- It describes “situated ontologies” and how a domain ontology should be evaluated with respect to its intended use.