Ontology-based semantic service discovery for a pervasive home environment퍼베이시브 홈 환경을 위한 온톨로지 기반의 시멘틱 서비스 탐색기법

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In recent years, service discovery is one of the major technologies of home networks which head for a pervasive computing environment. However, existing service discovery techniques are difficult to understand of semantics of services, and they only provide exact service matching. To solve these problems, we have designed and developed ontology for semantic service discovery in home network environments. Ontology could enrich the amount of devices and services representations with semantics, which are helpful for discovering services. Our ontology expressed in DAML+OIL, describes device specifications and services that can be provided by various device in the home environments. Using the ontology, our semantic service discovery system can generate various types of service request messages, and reply the most appropriate result out of ontology reasoning process. To determine whether the developed ontology can be applied to service discovery systems, we have implemented a semantic service discovery system by extension of the existing Jini lookup service. We define additional components, such as reasoning engine for ontology reasoning, evaluator for dynamic value evaluation and matching manager for managing whole processes of service discovery. Also, we have evaluated our ontology with associated software environment according to some experiment scenarios, and have proved the usefulness of our ontology-based semantic service discovery system.
Advisors
Lee, Young-Heeresearcher이영희researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2004
Identifier
392369/225023 / 020024100
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2004, [ vii, 59 p. ]

Keywords

Ontology; Pervasive home environment; Semantic service discovery

URI
http://hdl.handle.net/10203/55285
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392369&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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