Distributed Context Retrieval and Consistency Control in Pervasive Computing
| Autor: | Carsten Pils, Maria Strimpakou, Ioanna Roussaki |
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| Rok vydání: | 2007 |
| Předmět: |
Context model
Knowledge management Ubiquitous computing Computer Networks and Communications Computer science business.industry Strategy and Management Service provision Consistency control Multitude Context management Data science Context knowledge Hardware and Architecture Context awareness business Information Systems |
| Zdroj: | Journal of Network and Systems Management. 15:57-74 |
| ISSN: | 1573-7705 1064-7570 |
| DOI: | 10.1007/s10922-006-9053-6 |
| Popis: | The challenge of saturating all phases of pervasive service provision with context-aware functionality lies in coping with the complexity of maintaining, retrieving and distributing context information. To efficiently represent and query context information a sophisticated modelling scheme should exist. To distribute and synchronise context knowledge in various context repositories across a multitude of administrative domains, streamlined mechanisms are needed. This paper elaborates on an innovative context management framework that has been designed to cope with free-text and location based context retrieval and efficient context consistency control. The proposed framework has been incorporated in a multi-functional pervasive services platform, while most of the mechanisms it employs have been empirically evaluated. |
| Databáze: | OpenAIRE |
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