Semantically Enriched Integration Framework for Ubiquitous Computing Environment
Miniaturization, reduced costs of electronic components, and advanced information technologies now open practical possibilities to design, develop and deploy thousands of the coin-sized sensors and mechanical devices at multiple locations. This kind of softwarehardware systems, pervasively available to the user in everyday activities, is named Ubiquitous Computing Environment (UCE) (Abowd & Mynatt, 2000; Niemelä & Latvakoski 2004), or even - Ubiquitous Smart Space (Jeng, 2004 ; Kawahara et al., 2004). Establishing ad hoc communication via wireless media numerous elements of the UCE provide the user with real-time global sensing, context-aware informational retrieval, and enhanced visualization capabilities. In effect, they give extremely new abilities to look at and interact with our habitat. Many researches made a contribution to developing of Sensors and Actuators Networks (SANET), which became a foundation of UCE. There are tiny hardware devices available in practice for building SANET, embedded operating systems, wireless network protocols, and algorithms of effective energy management (Misc.Tinyos, 2010; Feng et al., 2002; Tilak et al., 2002; Crossbow, 2010). Now researchersђ community demonstrates growing interest to resolving the next important problem that will be faced by the developers and the users of UCE since a short time. That is the problem of semantic
interoperability in the joint context of SANET, existing IT-infrastructure and people society. Resent results (Branch et al., 2005 ; Curino et al., 2005 ; Tsetsos et al., 2005; Ahamed et al., 2004; Tokunaga et al., 2004 ; Chan et al., 2005) show applicability of the middleware paradigm for the solution of that problem, and provide for approaches facilitating integration of SANET on the application level of enterprise systems.
Considering implementation issues of our framework it can be mentioned that the designed software architecture allows for rapid inclusion of new software technologies on different levels without significant changes of the core. Splitting the process of the message processing from the process of huge RDF models retrieving makes Ontology Mediator more robust.