A clearly specified representation of diverse entities is needed to refer to them in pervasive computing applications. Examples of such entities include physical objects, operations, sensor and actuator resources, or logical locations. We propose a novel way to systematically generate representations of entities for programmable pervasive computing platforms made of tiny embedded nodes. Our original idea is to generate a very lightweight, though semantically-rich, representation from a possibly complex ontological specification. At the platform development phase, a domain ontology is used to describe the target environment. A preprocessing tool produces the ontology-driven, lightweight representation, which comes in two flavors: a human-readable one, to be used for programming, and a binary one, to be used at runtime. Our approach makes it possible to take advantage of all the benefits of ontology-based modeling and, at the same time, to obtain a representation light enough to be embedded in even the tiniest nodes.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
- Lightweight Ontology-Driven Representations in Pervasive Computing
- Springer Berlin Heidelberg