Knowledge Representation - определение. Что такое Knowledge Representation
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Что (кто) такое Knowledge Representation - определение

FIELD OF ARTIFICIAL INTELLIGENCE ON REPRESENTING INFORMATION IN A FORM THAT A COMPUTER SYSTEM CAN USE TO SOLVE COMPLEX TASKS
Knowledge Representation; Knowledge representation formalisms and methods; Knowledge model; Knowledge representation system; Knowledge representation; Knowledge models; Knowledge representation & reasoning; KR²; KR&R; History of knowledge representation and reasoning; Knowledge reasoning
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knowledge representation         
The subfield of artificial intelligence concerned with designing and using systems for storing knowledge - facts and rules about some subject. A body of formally represented knowledge is based on a conceptualisation - an abstract view of the world that we wish to represent. In order to manipulate this knowledge we must specify how the abstract conceptualisation is represented as a concrete data structure. An ontology is an explicit specification of a conceptualisation. (1994-10-19)
Knowledge representation and reasoning         
Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build.
Political representation         
POLITICAL ACTORS MAKING CITIZENS "PRESENT" IN PUBLIC POLICY MAKING PROCESSES
Descriptive representation; Substantive representation; One state, one vote; Representation by population; Substantive Representation; Rep by pop; Rep-by-pop; Models of representation; Representation by area; Politico model of representation; Representation (politics)
Political representation is the activity of making citizens "present" in public policy making processes when political actors act in the best interest of citizens. This definition of political representation is consistent with a wide variety of views on what representing implies and what the duties of representatives are.
Knowledge graph         
  • Example conceptual diagram
INFORMATION REPOSITORY STRUCTURED AS A GRAPH
Knowledge graph (ontology); Knowledge graph (information science); Knowledge-graph
In knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of entities objects, events, situations or abstract concepts while also encoding the semantics underlying the used terminology.
tacit         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
['tas?t]
¦ adjective understood or implied without being stated.
Derivatives
tacitly adverb
Origin
C17 (in the sense 'wordless, noiseless'): from L. tacitus 'silent', from tacere 'be silent'.
Tacit knowledge         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
Tacit knowledge or implicit knowledge—as opposed to formal, codified or explicit knowledge—is knowledge that is difficult to express or extract, and thus more difficult to transfer to others by means of writing it down or verbalizing it. This can include personal wisdom, experience, insight, and intuition.
Tacit         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
·adj Done or made in silence; implied, but not expressed; silent; as, tacit consent is consent by silence, or by not interposing an Objection.
tacit         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
If you refer to someone's tacit agreement or approval, you mean they are agreeing to something or approving it without actually saying so, often because they are unwilling to admit to doing so.
The question was a tacit admission that a mistake had indeed been made...
ADJ: usu ADJ n
tacitly
He tacitly admitted that the government had breached regulations.
ADV: ADV with v
tacit         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
a.
Implied, understood, inferred, silent, unexpressed (by words), implicit, unspoken.
Knowledge transfer         
  • Knowledge transfer icon from [[The Noun Project]].
  • Linear, divergent, and convergent knowledge transfer
SHARING KNOWLEDGE FOR PROBLEM SOLVING
(Szulanski 1996); Knowledge exchange; Transfer of information; Transfer of knowledge; Knowledge flow; Knowledge flows; Knowledge transfer and exchange; Research practice gap; Draft:Research practice gap; Knowledge transmission
Knowledge transfer refers to sharing or disseminating of knowledge and providing inputs to problem solving. In organizational theory, knowledge transfer is the practical problem of transferring knowledge from one part of the organization to another.

Википедия

Knowledge representation and reasoning

Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.

Examples of knowledge representation formalisms include semantic nets, systems architecture, frames, rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.