Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data

Semantic formalisms represent content in a uniform way according to ontologies. This enables manipulation and reasoning via automated means (e.g. Semantic Web services), but limits the user’s ability to explore the semantic data from a point of view that originates from knowledge representation motivations. We show how, for user consumption, a visualization of semantic data according to some easily graspable dimensions (e.g. space and time) provides effective sense-making of data. In this paper, we look holistically at the interaction between users and semantic data, and propose multiple visualization strategies and dynamic filters to support the exploration of semantic-rich data. We discuss a user evaluation and how interaction challenges could be overcome to create an effective user-centred framework for the visualization and manipulation of semantic data. The approach has been implemented and evaluated on a real company archive

E-Voting in an ubicomp world: trust, privacy, and social implications

The advances made in technology have unchained the user from the desktop into interactions where access is anywhere, anytime. In addition, the introduction of ubiquitous computing (ubicomp) will see further changes in how we interact with technology and also socially. Ubicomp evokes a near future in which humans will be surrounded by “always-on,” unobtrusive, interconnected intelligent objects where information is exchanged seamlessly. This seamless exchange of information has vast social implications, in particular the protection and management of personal information. This research project investigates the concepts of trust and privacy issues specifically related to the exchange of e-voting information when using a ubicomp type system

CartoonPlus: A New Scaling Algorithm for Genomics Data

Abstract. We focus on visualisation techniques used in genome browsers and report on a new technique, CartoonPlus, which improves the visual representation of data. We describe our use of smooth zooming and panning, and a new scaling algorithm and focus on options. CartoonPlus allows the users to see data not in original size but scaled, depending on the data type which is interactively chosen by the users. In VisGenome we have chosen genes as the basis for scaling. All genes have the same size and all other data is scaled in relationship to genes. Additionally, objects which are smaller than genes, such as micro array probes or markers, are scaled differently to reflect their partitioning into two categories: objects in a gene region and objects positioned between genes. This results in a significant legibility improvement and should enhance the understanding of genome maps

Ord i dag: Mining norwegian daily newswire

Abstract. We present Ord i Dag, a new service that displays today's mos

The Situation Lens: Looking into Personal Service Composition

In this paper we discuss about composing services from standard suites of applications for personal data management in mobile devices. We propose a data model and an interface model that allows users to navigate among services according to the situation evolution as perceived and interpreted by the users themselves. The interface model acts as a lens exploring the situation, zooming into the details, covering different areas of the personal data, supporting the user in the role of composer of personal services