KiCM: A knowledge-intensive context model
Autor: | Dennis Lupiana, Fredrick Mtenzi |
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Rok vydání: | 2016 |
Předmět: |
Internet
021110 strategic defence & security studies Context model business.industry Computer science Semantics (computer science) Context Temperature 0211 other engineering and technologies Representation (systemics) Computational modeling Context (language use) 02 engineering and technology Electrical and Computer Engineering Semantics World Wide Web Human–computer interaction 0202 electrical engineering electronic engineering information engineering Context modeling 020201 artificial intelligence & image processing The Internet Computer architecture Computer Engineering Architecture business |
Zdroj: | ICITST Conference papers |
DOI: | 10.1109/icitst.2016.7856701 |
Popis: | A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments. These architectures monitor and analyse their environments to enable context-aware applications to effortlessly and appropriately respond to users' computing needs. These applications make the use of computing devices intuitive and less intrusive. A context model is an abstract and simplified representation of the real world, where the users and their computing devices interact. It is through a context model that knowledge about the real world can be represented in and reasoned by a context-aware architecture. This paper presents a Knowledge-intensive Context Model (KiCM). KiCM improves the existing context models by including knowledge about more entities that are essential for describing an occurrence of users' real context such as a meeting. |
Databáze: | OpenAIRE |
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