Search results for "knowledge ecosystems"

showing 3 items of 3 documents

An introduction to knowledge computing

2014

This paper deals with the challenges related to self-management and evolution of massive knowledge collections. We can assume that a self-managed knowledge graph needs a kind of a hybrid of: an explicit declarative self-knowledge (as knowledge about own properties and capabilities) and an explicit procedural self-knowledge (as knowledge on how to utilize own properties and the capabilities for the self-management).We offer an extension to a traditional RDF model of describing knowledge graphs according to the Semantic Web standards so that it will also allow to a knowledge entity to autonomously perform or query from remote services different computational executions needed. We also introdu…

Computer scienceOpen Knowledge Base ConnectivityEnergy Engineering and Power Technologyknowledge ecosystemssemanttinen webcomputer.software_genretietämyksenhallintaIndustrial and Manufacturing EngineeringKnowledge-based systemsKnowledge extractionManagement of Technology and InnovationElectrical and Electronic Engineeringtietämysself-managed systemsDatabasebusiness.industryApplied MathematicsMechanical Engineeringexecutable knowledgeknowledge computingcomputer.file_formatMathematical knowledge managementProcedural knowledgeComputer Science ApplicationsKnowledge baseControl and Systems EngineeringDomain knowledgeExecutablebusinessSoftware engineeringcomputerEastern-European Journal of Enterprise Technologies
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Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest

2017

Evolving Knowledge Ecosystems were proposed to approach the Big Data challenge, following the hypothesis that knowledge evolves in a way similar to biological systems. Therefore, the inner working of the knowledge ecosystem can be spotted from natural evolution. An evolving knowledge ecosystem consists of Knowledge Organisms, which form a representation of the knowledge, and the environment in which they reside. The environment consists of contexts, which are composed of so-called knowledge tokens. These tokens are ontological fragments extracted from information tokens, in turn, which originate from the streams of information flowing into the ecosystem. In this article we investigate the u…

LSH forestekosysteemit (ekologia)evolving knowledge ecosystemsminhashbig datalocality-sensitive hashingtietotekniikkarandom hyperplane hashing
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Balanced Large Scale Knowledge Matching Using LSH Forest

2015

Evolving Knowledge Ecosystems were proposed recently to approach the Big Data challenge, following the hypothesis that knowledge evolves in a way similar to biological systems. Therefore, the inner working of the knowledge ecosystem can be spotted from natural evolution. An evolving knowledge ecosystem consists of Knowledge Organisms, which form a representation of the knowledge, and the environment in which they reside. The environment consists of contexts, which are composed of so-called knowledge tokens. These tokens are ontological fragments extracted from information tokens, in turn, which originate from the streams of information flowing into the ecosystem. In this article we investig…

evolving knowledge ecosystemsInformation retrievalComputer sciencebusiness.industryBig data02 engineering and technologyKnowledge ecosystemcomputer.software_genreLSH forestbig data020204 information systemsSchema (psychology)0202 electrical engineering electronic engineering information engineeringOntology020201 artificial intelligence & image processingData mininglocality-sensitive hashingbusinesscomputer
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