KnowLang: Knowledge representation for self-adaptive systems

Emil Vassev; Mike Hinchey

doi:10.1109/MC.2015.50

KnowLang: Knowledge representation for self-adaptive systems

Emil Vassev
, Mike Hinchey

University of Limerick

Research output: Contribution to specialist publication › Article

Abstract

The KnowLang framework models uncertainty into the development of software-intensive systems to create enhanced possibilities for self-adaptation.

Original language	English
Pages	81-84
Number of pages	4
Volume	48
No.	2
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2015.50
Publication status	Published - 1 Feb 2015

Keywords

KnowLang
Software Technologies
artificial intelligence
knowledge representation
self-adaptation
software engineering

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10.1109/MC.2015.50

Cite this

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title = "KnowLang: Knowledge representation for self-adaptive systems",

abstract = "The KnowLang framework models uncertainty into the development of software-intensive systems to create enhanced possibilities for self-adaptation.",

keywords = "KnowLang, Software Technologies, artificial intelligence, knowledge representation, self-adaptation, software engineering",

author = "Emil Vassev and Mike Hinchey",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2015",

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doi = "10.1109/MC.2015.50",

language = "English",

volume = "48",

pages = "81--84",

journal = "Computer",

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AU - Hinchey, Mike

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AB - The KnowLang framework models uncertainty into the development of software-intensive systems to create enhanced possibilities for self-adaptation.

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KW - artificial intelligence

KW - knowledge representation

KW - self-adaptation

KW - software engineering

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DO - 10.1109/MC.2015.50

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SN - 0018-9162

VL - 48

SP - 81

EP - 84

JO - Computer

JF - Computer

ER -

KnowLang: Knowledge representation for self-adaptive systems

Abstract

Keywords

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