Ontology-based situation recognition for context-aware systems

Abstract

A worldwide movement towards the publication of Open Government Data is taking place, and budget data is one of the key elements pushing this trend. Its importance is mostly related to transparency, but publishing budget data, combined with other actions, can also improve democratic participation, allow comparative analysis of governments and boost data-driven business. However, the lack of standards and common evaluation criteria still hinders the development of appropriate tools and the materialization of the appointed benefits. In this paper, we present a model to analyse government initiatives to publish budget data. We identify the main features of these initiatives with a double objective: (i) to drive a structured analysis, relating some dimensions to their possible impacts, and (ii) to derive characterization attributes to compare initiatives based on each dimension. We define use perspectives and analyse some initiatives using this model. We conclude that, in order to favour use perspectives, special attention must be given to user feedback, semantics standards and linking possibilities.

Sociology Paradigms for Dynamic Integration of Devices into a Context-Aware System

“…The flaw in this approach is the lack of technical implementation details. Attard et al (2013) presented a matching technique to enable automatic situation recognition and evaluated its performance in an experiment with real users and perceived contextual information. The distinctive feature of the proposed technique was its ontology-based nature.…”

“…The literature review suggests that there are numerous research works devoted to the ontology-based approach and context modelling (Attard et al, 2013;Wang et al, 2004;Fook et al, 2006;Christopoulou & Goumopoulos, 2004;Paganelli & Giuli, 2011), and software architecture solutions in developing context-aware application (Baltrunas et al, 2011;Bardram et al, 2004;Bardram & Hansen, 2010;Coppola et al, 2009;Hong et al, 2010;Löwe et al, 2012;Westhuizen & Coetzee, 2013;Yılmaz & Erdur, 2012). (Sriram et al, 2015) compared and discussed the frameworks that support crucial features in the healthcare system, while Gelogo et al (2015) proposed a context-aware framework for ubiquitous healthcare that can reduce the network traffic.…”

Automating the Provisioning and Configuration of Devices in the Internet of Things

“…Ontologies offer the means for an automated editing and extension of information, using e.g., generated SPARQL queries. In IoT scenarios, the use of ontologies is commonly accepted [17], [18], [19] due to the heterogeneous, dynamic environments that have to be integrated. A condensed view of our ontology model is depicted in Figure 3.…”

Description Logics and Rules for Multimodal Situational Awareness in Healthcare

“…Congruous with the open nature of context-awareness, where information at various levels of abstraction and completeness has to be integrated, ontologies have attracted growing interest as means for modelling and reasoning over contextual information in various domains [2] [14]. For example, BeAware!…”