6533b832fe1ef96bd129a224
RESEARCH PRODUCT
Mobile agents and knowledge discovery in ubiquitous computing
Alessandro Gencosubject
Ubiquitous computingTheoretical computer scienceResource (project management)Knowledge extractionHuman–computer interactionComputer scienceMiddlewareAugmented realityProjection (set theory)Resource management (computing)Semanticsdescription
Publisher Summary This chapter discusses a knowledge discovery strategy to be performed by mobile agents in an augmented reality (AR) scenario. AR entities are implemented by mobile agents who perform all the behaviors of cooperating entities. Among other tasks, mobile agents implement a resource discovery strategy, which is aimed at filling lacking entities with missing methods and knowledge rules. A three layer entity description model and a cooperation mechanism are discussed, which allow knowledge and methods to be shared between entities in augmented reality. Three layers host three different projection descriptions of an AR entity respectively are: (1) a semantic projection for knowledge maintenance and management, (2) a middleware projection for procedural logic implementation, (3) a physical projection for physical resource management. Semantic projection is split out in a set of logical sub-layers, which describe the behavior semantics of an entity. Each layer is equipped with a specific logic and a mechanism for linking the middleware projection and its procedural methods.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2004-01-01 |