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Smart objects are gradually integrating into people's everyday life. While many context-aware solutions for pervasive computing environments do not consider users social aspects, we believe smart objects should be social-aware. So Smart aims at filling the gap in social understanding of the user environment, presenting an ontology based context model to support social context representation and automated...
We argue that it is more practical to address the ontology mapping self-tuning problem in a whole system context instead of in a single matcher context. In this paper we introduce RMOMS, a Reference Model for Ontology Mapping Systems, consisting of six parts, the Preprocessor, the Dispatcher, the Matcher(s), the Aggregator, the Pruner, and the User Interface, with which to disassemble the self-tuning...
Sharing heterogeneous data among distributed environments in a user-centric way represents today the main challenge for personalization. In recent years several techniques have been proposed to support user modeling for cross-system personalization, following two main approaches. A first group of researchers base their solutions on the use of a top-down approach, involving standard ontologies or unified...
Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desired services, context-aware systems provide a promising way to automatically search and recommend services using a user's context. However, existing context-aware techniques have limited support for dynamic adaption to newly...
The advances in distributed sensing and wireless communication enable pervasive home applications which are quit information-rich. Hereby the integrated access and management of heterogeneous information becomes an increasingly important research topic. Moreover recent popularity and advances in visual aids (Google maps, 3D computer graphics, PS games, etc.) call for the more attractively intuitive...
Designing fusion systems for decision support in complex dynamic situations calls for an integrated human-machine information environment, in which some processes are best executed automatically while for others the judgment and guidance of human experts and end-users are critical. Thus decision making in such environment requires constant information exchange between human and automated agents that...
This research paper brings together the fields of systems engineering and media studies to investigate the cinema/television/computer/mobile device screen as a dynamic interface through which points of engagement or how the aesthetics and narrative structures presented on the screen engage the user and create meaning. The co-authors work towards the development of a “screen real estate grammar” or...
This article describes our approach towards the specification and realization of interoperability within Next Generation Ambient Intelligent Environments (NGAIE). These are populated with numerous devices and multiple occupants or users exhibit increasingly intelligent behaviour, provide optimized resource usage and support consistent functionality and human-centric operation. In NGAIEs users will...
Recently, various networked sensors, devices, and appliances are evolving a smart home to support intelligent home network services. To support an intelligent home network, previous researches have used techniques such as the semantic context representation and reasoning by designing an ontology-based context model. These researches have some drawback in the intelligent home network environment which...
With the number of services published on the Internet growing at an explosive speed, it is difficult for service requesters to discover satisfactory web services. The reason for this phenomenon is that traditional service organization mode lacks semantic information metadata, which results in low discovery effect. In this paper, we firstly give a service description model and then present an overall...
The research in the ontology-based information retrieval has made a significant progress recently, especially in the Web domain. In this kind of retrieval system, the domain ontology is used as the backbone of the searching process. However, with the heterogeneity of data storing formats on the Web, many of ontology-driven systems development approach suffer from inconsistencies during mapping between...
The purpose of the present work was to create a computational framework for radiological registry and diagnosis, which, by means of a nonintrusive approach, allows the users freedom annotation while storing related information in a structured and standard format. To get this goal, this work started with the investigation of lexical and semantic domain of radiological texts, followed by the design...
This paper aims to propose solutions to the issue of ontology visualization, by presenting intuitive and user-friendly ontology editing and visualization environments mainly oriented to domain experts. It starts with an overview of existing ontology visualization methods; afterwards it describes the Semantic DB system and the OWLeasyViz ontology editor. Semantic DB is a web application framework to...
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