Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 도경구 | - |
dc.date.accessioned | 2019-06-14T06:48:41Z | - |
dc.date.available | 2019-06-14T06:48:41Z | - |
dc.date.issued | 2007-06 | - |
dc.identifier.citation | International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007: Knowledge-Based Intelligent Information and Engineering Systems, Page. 626-633 | en_US |
dc.identifier.isbn | 978-3-540-74828-1 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-540-74829-8_77 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/106648 | - |
dc.description.abstract | Since users want to have proper services in their own position and surrounding circumstance in ubiquitous computing, it is critically important to provide a ppropriate services by adapting changes of the user requirements and their environments. Most approaches lack considerations for position or preference of users. In this paper, we present an adaptation process model to dynamically select services based on user`s preferences according to their contextual changes. We define a conceptual context model and use the adaptation process model to select proper services. The adaptation process consists of the service selection and the service negotiation. Service candidates are selected based on user`s and service provider`s preferences in the service selection process. The service negotiation process determines the best service among service candidates. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SPRINGER-VERLAG BERLIN | en_US |
dc.subject | Uiquitous computing | en_US |
dc.subject | context-awareness | en_US |
dc.subject | user’s preference | en_US |
dc.subject | dynamic service selection | en_US |
dc.subject | adaptive software | en_US |
dc.title | An approach to modeling context-adaptable services | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/978-3-540-74829-8_77 | - |
dc.relation.journal | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | - |
dc.contributor.googleauthor | Kim, Yukyong | - |
dc.contributor.googleauthor | Doh, Kyung-Goo | - |
dc.relation.code | 2007206326 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | doh | - |
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