Template-Based Ontology Population for Smart Environments Configuration
نویسندگان
چکیده
Smart Environments is one of several domains in which Semantic Web technologies are applied nowadays. Ontologies, in particular, are used as core modeling languages for representing devices, systems and environments. Developing such ontologies, that typically involve several device descriptions (individuals) and related information, i.e., individuals of classes contributing to the device model, is often done by a manual, time consuming, and error-prone approach. This paper presents a template based approach, which increases accuracy, ease of use, and time-effectiveness of the ontology population process by reducing the amount of user-given information of about an order of magnitude, with respect to the fully manual approach. User-required information only pertains device features (e.g., name, location, etc.) and never implies knowledge of Semantic Web technologies, thus enabling end-user configuration of smart homes and buildings. Experimental results with a prototypical implementation confirm the viability of the approach on a real-world use case.
منابع مشابه
Politecnico Di Torino Porto Institutional Repository [proceeding] Template-based Ontology Population for Smart Environments Configuration Template-based Ontology Population for Smart Environments Configuration
Smart Environments is one of several domains in which Semantic Web technologies are applied nowadays. Ontologies, in particular, are used as core modeling languages for representing devices, systems and environments. Developing such ontologies, that typically involve several device descriptions (individuals) and related information, i.e., individuals of classes contributing to the device model,...
متن کاملPolitecnico di Torino Porto Institutional Repository [ Proceeding ] Template - based ontology population for Smart Environments configuration
Smart Environments is one of several domains in which Semantic Web technologies are applied nowadays. Ontologies, in particular, are used as core modeling languages for representing devices, systems and environments. Developing such ontologies, that typically involve several device descriptions (individuals) and related information, i.e., individuals of classes contributing to the device model,...
متن کاملAgent-Based Context Consistency Management in Smart Space Environments
Context-aware systems in a smart space environment must be aware of the surrounding contexts and adapt to changing contexts in highly dynamic environments. Data managements of contextual information are different from traditional approaches because of the contextual information are dynamic, transient, and fallible. Consequently, capabilities to detect context inconsistency and maintain consiste...
متن کاملA standard ontology for smart spaces
This paper presents a universal ontology for smart environments aiming to overcome the limitations of the existing ontologies. We enrich our ontology by adding new environmental aspects such as the referentiality and environmental change, that can be used to describe domains as well as applications. We show through a case study how our ontology is used and integrated in a self-organising middle...
متن کاملA Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence
This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...
متن کامل