Ubiquitous Supervisory System Based on Social Contexts Using Ontology

Abstract

Abstract. As described in this paper, we propose a supervisory system that considers actual situations and social aspects of users in a ubiquitous computing environment. To realize gentle and safe supervision while providing efficient supervisory services, the system must recognize the situations of a watched person, such as the person's physical condition. To achieve this, we have proposed a ubiquitous supervisory system "uEyes", which introduces Social Context Awareness: a distinguishing feature for supervision. Using this feature, the system can combine environmental information acquired from sensors in the real world and common-sense knowledge related to human activities in daily life. As described in this paper, we specifically examine design of Social Context Awareness using ontology technologies. Based on this advanced feature, a live video streaming system is configured autonomously depending on the users' circumstances in runtime. We implemented a uEyes prototype for supervising elderly people and performed some experiments based on several scenarios. Based on those experimental results, we confirmed that the social contexts are handled effectively to support the supervision.

Symbiotic Computing Based Approach Towards Reducing User's Burden Due to Information Explosion

“…Since early 1990s, we have been investigating the framework of Symbiotic Computing; its concept, model, design, and applications [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31]. We emphasized the importance of the concept of "Symbiosis" as a novel computing paradigm towards post-modern distributed computing model at IPSJ Workshop held in 1994 [2].…”

Semantic File Annotation and Retrieval on Mobile Devices

“…The semantic approach is also extended to mobile devices for picture retrieval, where pictures are annotated with contextual information and used to index each of them [47]. Similarly, the contextual ontology was introduced and successfully implemented in several research efforts for example, context ontology for mobile devices was developed from embedded mobile sensors [2] for using the resources efficiently, the FLAME2008 platform was successfully developed to support mobile users with personalized context-aware services [33], the context ontology was used in a prototype to supervise the health condition of elderly people in runtime [41]. Iwamoto et al proposed a design called uPhoto, in which context based annotation was implemented by extracting information automatically from embedded sensors and use them as image annotation [44].…”

“…Semantic technologies are used in several research studies supporting pervasive and ubiquities mobile computing. For example, Izumi et al [18] examined the design of social contextawareness ontology for their implementation of a prototype to supervise elder people in a ubiquitous computing environment and Guo et al [16] used ontology for dealing with objects in order to search physical artefacts and detect hidden objects in a smart indoor environment.…”

Intelligent mobile messaging

“…Ontology diversity is restricted to research needs for example, EgoIR is an ontology based information retrieval to manage, search, sharing and retrieve government documents in right time and right situation using ontology/search based server [6]. Izumi et al have studied social context awareness ontology for elder people supervision [17]. While GUO ET AL.…”