LC 00510: verschil tussen versies
Geen bewerkingssamenvatting |
Geen bewerkingssamenvatting |
||
| Regel 1: | Regel 1: | ||
Before diving into discussing EMM, it is helpful to say a few words about ontology and epistemology. Ontology can be understood from a philosophical as well as a computer science point of view. In philosophy, ontology is a branch of metaphysics studying the nature of reality (all that is or exists), and the different entities and categories within reality. Ontology has its counterpart in epistemology, which revolves around the study of knowledge and how to reach it. Ontology is often equated with reality, whereas epistemology is related to constructivism, i.e., the way the world is constructed in our minds. | |||
In computer science, especially in the field of semantic web and knowledge representation, ontology is defined as: a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them. To enable such a description, the concepts that makes up an ontology need to be specified formally, such as individuals (instances of objects), classes, attributes and relations as well as restrictions, rules and axioms. As a result, ontologies do not only introduce a sharable and reusable knowledge representation but they are also used to add new knowledge about the domain. | |||
<accesscontrol>Access:We got to move</accesscontrol> | |||
{{LC Book config}} | {{LC Book config}} | ||
{{Light Context | {{Light Context | ||
| Regel 12: | Regel 16: | ||
|Show title=Ja | |Show title=Ja | ||
|EMM access control=Access:We got to move, | |EMM access control=Access:We got to move, | ||
}} | }} | ||
{{LC Book additional | {{LC Book additional | ||
|Preparatory reading= | |Preparatory reading= | ||
|Continue reading= | |Continue reading= | ||
}} | }} | ||
Versie van 29 mei 2020 09:50
Before diving into discussing EMM, it is helpful to say a few words about ontology and epistemology. Ontology can be understood from a philosophical as well as a computer science point of view. In philosophy, ontology is a branch of metaphysics studying the nature of reality (all that is or exists), and the different entities and categories within reality. Ontology has its counterpart in epistemology, which revolves around the study of knowledge and how to reach it. Ontology is often equated with reality, whereas epistemology is related to constructivism, i.e., the way the world is constructed in our minds.
In computer science, especially in the field of semantic web and knowledge representation, ontology is defined as: a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them. To enable such a description, the concepts that makes up an ontology need to be specified formally, such as individuals (instances of objects), classes, attributes and relations as well as restrictions, rules and axioms. As a result, ontologies do not only introduce a sharable and reusable knowledge representation but they are also used to add new knowledge about the domain.
Dit is een beveiligde pagina.
- Lees hiervoor:
- Lees hierna:
Referenties
- Tacit Knowledge, Organizational Learning and Societal Institutions: An Integrated Framework, A. Lam, Organization Studies , 21, 487-451, 1 januari 2000.
- Is Justified True Belief Knowledge?, E.L. Gettier, Analysis, 23:6, 121-123, 1 januari 1963.
- Structures for Organizing Knowledge: Exploring Taxonomies, Ontologies, and Other Schemas, J. Abbas, Neal-Schuman Publishers, Inc., Chicago, 1 januari 2010.
- On Intelligence, J. Hawkins, Times Books, New York, 1 januari 2004.
- A thousand brains; a new theory of intelligence, Jeff Hawkins, Basic books, 1 maart 2021.
- How to Create a Mind: The Secret of Human Thought Revealed, R. Kurzweil, Viking Adult, New York, 1 januari 2012.
- Modality and Topographic Properties of Single Neurons of Cat’s Somatic Sensory Cortex, V.B. Mountcastle, Modality and Journal of Neurophysiology, 20, 408-434, 1 januari 1957.
Hier wordt aan gewerkt of naar verwezen door: Expertise Management Ontology by Example, Extending the Human Cognition and Behavior Model, Formal Description of EMont