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The society is in a state where learning has no limits and starts to overlap with technological developments. The recent advent of a connectivistic learning theory promises to shed light on how we learn in environments of interconnected knowledge and how the connectivity of concepts can guide the learning and conceptualization. This paper will have a look at a domain ontology-based approach to learning...
Physicians are often required to make critical medical decisions that may be based on previous events in the patient's health history. However, these events may be very difficult to locate in the patient record due to the large volume of unstructured textual data in the patient's chart. Even when the chart is housed in an electronic health record (EHR) system, keyword search within the chart may produce...
To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states,...
This paper presents an original approach for supporting the use of geovisual analytics solutions. Many models have been proposed to characterize information visualization methods, but few have been integrated to an intelligent process for supporting user in geo-information usage. Moreover, several new solutions are continuously proposed by research, but few of them are really used in operational world...
The Mediterranean ports play a crucial role in the long-term economic growth of the local and regional communities providing numerous maritime services. They are situated close to the international trade routes and are the main hubs with the necessary infrastructure for the accommodation of transhipment cargo, connecting with all regional ports. Thus, the protection of the ports' infrastructure may...
The significance of technology in today's education is inevitable for teachers to design interactive environments based on learning methodologies and for learners to interact, explore and create personal animations, stories and games to learn a topic. Even with rapid advances in the field of end-user programming and software engineering, teachers/learners often spend considerable effort for using...
With the advances in technology and proliferation of cheap storage, high rate of digital multimedia interaction signifies the increasing need of computer users for a decent application to organize personal media in a meaningful way. In this paper, we want to organize personal media in terms of the sub-events they cover. A semantic gap exists between media, and people's perception of the events and...
Due to the well-known semantic gap problem, a wide number of approaches have been proposed during the last decade for automatic image annotation, i.e. the textual description of images. Since these approaches are still not sufficiently efficient, a new trend is to use semantic hierarchies of concepts or ontologies to improve the image annotation process. This paper presents an overview and an analysis...
In this paper, we present a few innovative techniques for visualization of content and contextual information of a multimedia digital library for effective browsing. A traditional collection visualization portal often depicts some metadata or a short synopsis, which is quite inadequate for assessing the documents. We have designed a novel web portal that incorporates a few preview facilities to disclose...
Follow the promising Web 2.0 paradigm, the telecommunications world also wants to implement the Telco 2.0 vision by inviting its users to actively participate in the creating and sharing of services accessible using handheld devices. The EU-IST research project OPUCE (Open Platform for User-Centric Service Creation and Execution) aims at providing end users with an innovative platform which allows...
The classic TileBars paradigm has been used to show distribution information of query terms in full-text documents. However, when the number of query terms becomes large, it is not an easy task for users to comprehend their distribution within certain parts of a document. In this paper, we present a novel approach to improve the visual presentation of TileBars, in which barycenter heuristic for bigraph...
Current approaches to automatic, class specific, image retrieval from the World Wide Web (WWW) by linguistic query often make use of an image's internal characteristics and file meta-data to augment and improve result accuracy. We propose that, in extension, improvement can be achieved in relevance, noise-reduction and completeness through sense disambiguation and contextual meta-data prepossessing...
In any scientific domain, the full set of data and programs has reached an -ome status, i.e. it has grown massively. In this scenario, we propose Resourceome, a Web-based and semantic Knowledge Management System which extends a previous multilevel ontology-based knowledge manager for the bioinformatic domain as follows: (i) enriching the knowledge model in such a way to describe resource knowledge...
This system proposes Indian-logic ontology based Context-aware Query Refinement model to support context-sensitive semantic search in keyword based search engine. This is by formulating effective query using Indian logic based Ontology for Context identification to overcome ambiguous query terms and increase the relevancy of documents retrieved. Here we propose Indian-Logic based Context Ontology...
The enormous volume of visual content available from cameras and from recordings stored in data centres and the phenomenal number of users presents a major challenge to the research community. This major challenge is the use of adaptive techniques for personalised retrieval and filtering mechanisms in order to find relevant visual content appropriate to individual needs but without overloading users...
In this paper, we propose an ontology for representing the prior knowledge related to video event analysis. It is composed of two types of knowledge related to the application domain and the analysis system. Domain knowledge involves all the high level semantic concepts in the context of each examined domain (objects, events, context...) whilst system knowledge involves the capabilities of the analysis...
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...
Awareness systems are a class of computer mediated communication systems that help individuals or groups build and maintain a peripheral awareness of each other. In this paper a service-oriented platform is presented, that supports awareness and informal social communication between community members, distributed over multiple smart home environments. The ASTRA platform, developed in the context of...
In this paper we present ANSWER, an innovative approach to film direction. Here we describe a methodology to semantically model the film domain in a way which is coherent with the directorpsilas intent during film production. To achieve this, we are developing a system architecture which will provide the director with the necessary tools and services to author a scene description through intuitive...
Context knowledge is essential to achieve successful information fusion, especially at high JDL levels. Context can be used to interpret the perceived situation, which is required for accurate assessment. Both types of knowledge, contextual and perceptual, can be represented with formal languages such as ontologies, which support the creation of readable representations and reasoning with them. In...
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