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- Knowledge_integration abstract "Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation).Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.For example, multiple interpretations are possible of a set of student grades, typically each from a certain perspective. An overall, integrated view and understanding of this information can be achieved if these interpretations can be put under a common model, say, a student performance index.The Web-based Inquiry Science Environment (WISE), from the University of California at Berkeley has been developed along the lines of knowledge integration theory.Knowledge integration has also been studied as the process of incorporating new information into a body of existing knowledge with an interdisciplinary approach. This process involves determining how the new information and the existing knowledge interact, how existing knowledge should be modified to accommodate the new information, and how the new information should be modified in light of the existing knowledge.A learning agent that actively investigates the consequences of new information can detect and exploit a variety of learning opportunities; e.g., to resolve knowledge conflicts and to fill knowledge gaps. By exploiting these learning opportunities the learning agent is able to learn beyond the explicit content of the new information.The machine learning program KI, developed by Murray and Porter at the University of Texas at Austin, was created to study the use of automated and semi-automated knowledge integration to assist knowledge engineers constructing a large knowledge base.A possible technique which can be used is semantic matching. More recently, a technique useful to minimize the effort in mapping validation and visualization has been presented which is based on Minimal Mappings. Minimal mappings are high quality mappings such that i) all the other mappings can be computed from them in time linear in the size of the input graphs, and ii) none of them can be dropped without losing property i). The University of Waterloo operates a Bachelor of Knowledge Integration undergraduate degree program as an academic major or minor. The program started in 2008.".
- Knowledge_integration wikiPageExternalLink wise.berkeley.edu.
- Knowledge_integration wikiPageExternalLink 1636.pdf.
- Knowledge_integration wikiPageID "4144848".
- Knowledge_integration wikiPageLength "3788".
- Knowledge_integration wikiPageOutDegree "16".
- Knowledge_integration wikiPageRevisionID "705762078".
- Knowledge_integration wikiPageWikiLink Category:Knowledge_representation.
- Knowledge_integration wikiPageWikiLink Category:Learning.
- Knowledge_integration wikiPageWikiLink Category:Machine_learning.
- Knowledge_integration wikiPageWikiLink Information_integration.
- Knowledge_integration wikiPageWikiLink Interdisciplinarity.
- Knowledge_integration wikiPageWikiLink Knowledge_base.
- Knowledge_integration wikiPageWikiLink Knowledge_engineer.
- Knowledge_integration wikiPageWikiLink Knowledge_representation_and_reasoning.
- Knowledge_integration wikiPageWikiLink Knowledge_value_chain.
- Knowledge_integration wikiPageWikiLink Machine_learning.
- Knowledge_integration wikiPageWikiLink Minimal_mappings.
- Knowledge_integration wikiPageWikiLink Semantic_matching.
- Knowledge_integration wikiPageWikiLink Undergraduate_degree.
- Knowledge_integration wikiPageWikiLink University_of_California,_Berkeley.
- Knowledge_integration wikiPageWikiLink University_of_Texas_at_Austin.
- Knowledge_integration wikiPageWikiLink University_of_Waterloo.
- Knowledge_integration wikiPageWikiLinkText "Knowledge integration".
- Knowledge_integration wikiPageWikiLinkText "knowledge integration".
- Knowledge_integration wikiPageUsesTemplate Template:Reflist.
- Knowledge_integration subject Category:Knowledge_representation.
- Knowledge_integration subject Category:Learning.
- Knowledge_integration subject Category:Machine_learning.
- Knowledge_integration hypernym Process.
- Knowledge_integration type Election.
- Knowledge_integration comment "Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation).Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.For example, multiple interpretations are possible of a set of student grades, typically each from a certain perspective.".
- Knowledge_integration label "Knowledge integration".
- Knowledge_integration sameAs Q6423376.
- Knowledge_integration sameAs m.0blhmy.
- Knowledge_integration sameAs Q6423376.
- Knowledge_integration wasDerivedFrom Knowledge_integration?oldid=705762078.
- Knowledge_integration isPrimaryTopicOf Knowledge_integration.