Visualization Cockpit: Orchestration of Multiple Visualizations for Knowledge-Exploration

Abstract

Semantic-Web technologies and ontology-based information processing systems are established techniques, in more than only research areas and institutions. Different worldwide projects and enterprise companies identified already the added value of semantic technologies, so they work on different sub-topics for gathering and conveying knowledge. As the process of gathering and structuring semantic information plays a key role in the most developed applications, the process of transferring and adopting knowledge to and by humans is neglected, although the complex structure of knowledge-design opens many research-questions. The customization of the presentation itself and the interaction techniques with these presentation artifacts is a key question for gainful and effective work with semantic information. The following paper describes a new approach for visualizing semantic information as a composition of different adaptable ontology-visualization techniques. We start with a categorized description of existing ontology visualization techniques and show potential gaps

Towards process-oriented Information Visualization for supporting users

“…But there are also multimedia-driven aspects available, where the focus lies on finding pictures, audios or movies to a specific instance. A more user-centered aspect is supported in SemaVis [8] that allows the user to set a focus. Therefore it provides different kinds of visualization, which the user can select and couple to an individualized so called "Knowledge Cockpit".…”

“…The semantic annotated data makes it possible to create visualizations in dependence of an important aspect [8], not just in relation to the data format. For example, it is possible to create visualization with a special focus on showing the structure of a semantic data source (e.g.…”

Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision

“…This can be realized by cockpit integration (see therefore [15]), which allows users to orchestrate visualizations in a personalized form. As visualizations a set of different graphical layout algorithm is provided, which ensures that different aspects can be shown by the same data.…”

“…This allows a better considering of most of the relevant information, which are needed for an optimal decision making. For this purpose, we extend the concept of Knowledge Cockpit (for LOD [15]) and Statistic Cockpit (for OGD [16]) to a DecisionMaking Cockpit, which shows all of the previous mentioned data and visualization at the same time. This cockpit is completely dynamical and allows to compose it individually by the stakeholders.…”

“…But having exactly such an overview of available information enables a more efficient decision making. This paper describes on the one hand an approach to handle multi-data through multi-visualization for a personalized information overview that enables experts to investigate more information sources and generate a visual cockpit [15] (dashboard) with information visualizations that allows a more appropriate decision making. On the other hand we describe a new approach for visually interlinking Open Government Data with Linked-Open Data to generate and visualize explanations for certain indicator data.…”