An Intelligent Dynamic Context-Aware System Using Fuzzy Semantic Language

Autor:	Daehyun Kang, Kyunglag Kwon, Bok-Gyu Joo, In-Jeong Chung, Jongsoo Sohn
Rok vydání:	2014
Předmět:	Knowledge representation and reasoning Exploit Human–computer interaction Computer science Inference Fuzzy concept Symmetric multiprocessor system Context (language use) Data mining computer.software_genre Semantic Web computer Fuzzy logic
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9783642406744 MUSIC
DOI:	10.1007/978-3-642-40675-1_23
Popis:	The prevalence of smart devices and the wireless Internet environment have enabled users to exploit environmental sensor data in a variety of fields. This has engendered various research issues in the development of context-awareness technology. In this paper, we propose a novel method where semantic web technology and the fuzzy concept are used to perform tasks that express and infer the user’s dynamic context, in distributed heterogeneous computing environments. The proposed method expresses environmental information using numerical values, and converts them into fuzzy OWL. Then, we make inferences based on the user context, using FiRE, a fuzzy inference engine. The suggested method allows us to describe user context information in heterogeneous environments. Because we use fuzzy concepts to represent contextual information, we can easily express its degree or status.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7831e195b9e8b663c087f912188a8099 https://doi.org/10.1007/978-3-642-40675-1_23 Zobrazit plný text záznamu