Towards an Extensible Context Ontology for Ambient Intelligence

Abstract

Abstract. To realise an Ambient Intelligence environment, it is paramount that applications can dispose of information about the context in which they operate, preferably in a very general manner. For this purpose various types of information should be assembled to form a representation of the context of the device on which aforementioned applications run. To allow interoperability in an Ambient Intelligence environment, it is necessary that the context terminology is commonly understood by all participating devices. In this paper we propose an adaptable and extensible context ontology for creating context-aware computing infrastructures, ranging from small embedded devices to high-end service platforms. The ontology has been designed to solve several key challenges in Ambient Intelligence, such as application adaptation, automatic code generation and code mobility, and generation of device specific user interfaces.

Human-Centric Ontology-Based Context Modelling in Tourism

“…Hence, no consensual model exists that can broadly be re-used for modelling context in applications. Furthermore, even if there have been plenty of efforts for developing context ontologies, only few of them are available to be studied in detail and reused; these are the CoDAMoS (Preuveneers, et al 2004), GUMO (Heckmann et al 2005) and SOUPA/COBRA-ONT ontologies ( …”

Context-Aware Service Composition in Pervasive Computing Environments

“…CONON focuses on characterizing user situation with a set of user-defined first order logic rules. More generic, Preuveneers et al in [17] define a simple context ontology which is easily extensible and allows the description of semantic Web services. Interoperability is also studied in [3], which proposes an approach for mapping concepts between different ontologies.…”

“…We do not enforce the use of a specific context ontology, any existing OWL-based context ontology can be used (e.g., [18,5,29,17]). What we define is a model for services and tasks enabling context-aware service composition.…”

A Context-Aware Approach for Integrating Semantic Web Technologies onto Mobile Devices

“…Additionally, new research areas such as Ambient Intelligence or pervasive and ubiquitous computing gain increasing interest. Their idea is to create smart, intelligent, and adaptive environments in which mobile devices can request and consume proliferated services and resources autonomously, where decision making processes are not only based on the user's presence or preferences, but also on the surrounding environment [1]. Central to this idea is the notion of context and context-awareness [2,3].…”

“…Currently, Semantic Web based applications and services can hardly be deployed on mobile devices because of the lack of suitable implementations for RDF storage and management, although the necessity of Semantic Web technology and ontologies in particular for realizing a context-aware mobile computing infrastructure is broadly acknowledged [1,4]. In this thesis, we elaborate on the technical and conceptual background needed for integrating Semantic Web technology onto mobile devices and employ technologies such as RDF for the realization of a powerful, adaptable, and scalable context-aware infrastructure for harnessing contextual data that can be used for requesting ambient services and data sets from linked data repositories.…”