Visualization of heterogeneous data

Abstract — Both the Resource Description Framework (RDF), used in the semantic web, and Maya Viz u-forms represent data as a graph of objects connected by labeled edges. Existing systems for flexible visualization of this kind of data require manual specification of the possible visualization roles for each data attribute. When the schema is large and unfamiliar, this requirement inhibits exploratory visualization by requiring a costly up-front data integration step. To eliminate this step, we propose an automatic technique for mapping data attributes to visualization attributes. We formulate this as a schema matching problem, finding appropriate paths in the data model for each required visualization attribute in a visualization template. Index Terms—Data integration, RDF, attribute inference.

GeoZui3D: Data Fusion for Interpreting Oceanographic Data

GeoZui3D stands for Geographic Zooming User Interface. It is a new visualization software system designed for interpreting multiple sources of 3D data. The system supports gridded terrain models, triangular meshes, curtain plots, and a number of other display objects. A novel center of workspace interaction method unifies a number of aspects of the interface. It creates a simple viewpoint control method, it helps link multiple views, and is ideal for stereoscopic viewing. GeoZui3D has a number of features to support real-time input. Through a CORBA interface external entities can influence the position and state of objects in the display. Extra windows can be attached to moving objects allowing for their position and data to be monitored. We describe the application of this system for heterogeneous data fusion, for multibeam QC and for ROV/AUV monitoring

Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations

Heterogeneous multi-dimensional data are now sufficiently common that they can be referred to as ubiquitous. The most frequent approach to visualizing these data has been to propose new visualizations for representing these data. These new solutions are often inventive but tend to be unfamiliar. We take a different approach. We explore the possibility of extending well-known and familiar visualizations through including Heterogeneous Embedded Data Attributes (HEDA) in order to make familiar visualizations more powerful. We demonstrate how HEDA is a generic, interactive visualization component that can extend common visualization techniques while respecting the structure of the familiar layout. HEDA is a tabular visualization building block that enables individuals to visually observe, explore, and query their familiar visualizations through manipulation of embedded multivariate data. We describe the design space of HEDA by exploring its application to familiar visualizations in the D3 gallery. We characterize these familiar visualizations by the extent to which HEDA can facilitate data queries based on attribute reordering

AUGMENTED REALITY FOR UNIVERSITAS ISLAM NEGERI WALISONGO'S PROFILE USING AGILE METHODOLOGY

The use of Information Technology for the process of delivering information has grown so rapidly. One of them is Augmented Reality. Augmented Reality is widely implemented for various things, including in the world of education, health, military, entertainment and many others. Augmented Reality is a technology that combines virtual objects and the real world in real-time and interactively. This research developed an Augmented Reality Application that can be used to introduce Universitas Islam Negeri (UIN) Walisongo more broadly, attractively, interactively, and competitively. This application is named AR UINWS. Agile methodology was chosen to develop AR UINWS. The results show that the agile methodology is suitable to be implemented because of its flexibility, so that the needs of developing applications can be easily adapted. AR UINWS works well on all types of android devices that have a minimum camera resolution of 720x1280 pixels. AR UINWS can detect markers if the marker surface is visible at least 65% of the total marker surface area. This application can detect markers of various sizes as long as the background is light. The size of the marker that can be detected is 1.5x2 cm with the minimum distance between the marker and the android device is 1 5cm. While the largest marker size being tested is 15x23cm with the minimum distance between the marker and the android device is 150 cm

Periphery Plots for Contextualizing Heterogeneous Time-Based Charts

Patterns in temporal data can often be found across different scales, such as days, weeks, and months, making effective visualization of time-based data challenging. Here we propose a new approach for providing focus and context in time-based charts to enable interpretation of patterns across time scales. Our approach employs a focus zone with a time and a second axis, that can either represent quantities or categories, as well as a set of adjacent periphery plots that can aggregate data along the time, value, or both dimensions. We present a framework for periphery plots and describe two use cases that demonstrate the utility of our approach.Comment: To Appear in IEEE VIS 2019 Short Papers. Open source software and other materials available on github: https://github.com/PrecisionVISSTA/PeripheryPlots Video figure available on Vimeo: https://vimeo.com/34967814

Marispace-X: Digitalizing the Ocean

Within the Marispace-X project, a digital maritime data space based on data sovereignty, security, interoperability, and modularity according to the Gaia-X concept should be created. The article provides an overview of the envisioned Marispace-X digital infrastructure, a decentralized maritime data ecosystem, followed by exemplary applications for hydrographic surveys and some of the use cases defined in the Marispace-X project. These exemplary applications are related to data management, sharing and processing services that can be performed on a cloud infrastructure. This digital infrastructure should simplify data handling of all the different data types and formats that exist in the maritime domain.Dentro del proyecto Marispace-X, se debería crear un espacio de datos digitales marítimos basado en soberanía, seguridad, interoperabilidad, y modularidad de los datos, según el concepto Gaia-X. Este artículo proporciona una descripción de los planes para la infraestructura digital Marispace-X, un ecosistema de datos marítimos descentralizados, seguido de ejemplos de aplicaciones para evantamientos hidrográficos y algunos ejemplos de uso definidos en el proyecto Marispace-X. Estos ejemplos de aplicaciones están relacionados con los servicios de gestión, distribución y procesado de datos, que se pueden llevar a cabo en una infraestructura en la nube. Esta infraestructura digital debería simplificar la gestión de datos de todos los diferentes tipos y formatos que existen en el dominio marítimo.Dans le cadre du projet Marispace-X, un espace de données maritimes numériques basé sur la souveraineté, la sécurité, l’interopérabilité et la modularité des données selon le concept Gaia-X devrait être créé. L’article donne un aperçu de l’infrastruc-ture numérique Marispace-X envisagée, un écosystème de données maritimes dé-centralisé, suivi d’exemples d’applications pour les levés hydrographiques et de cer-tains des cas d’usage définis dans le projet Marispace-X. Ces exemples d’applica-tions sont liés à des services de gestion, de partage et de traitement de données qui peuvent être effectués sur une infrastructure cloud. Cette infrastructure numérique devrait simplifier la gestion de l’ensemble des différents types et formats de don-nées existant dans le domaine maritime