Coordinating Multiple Views Using an Ontology-Based Semantic Mapping

Prates, Jorge Marques; Scatalon, Lilian Passos; Garcia, Rogério Eduardo; Eler, Danilo Medeiros

doi:10.1109/iv.2013.25

Cited by 2 publications

(2 citation statements)

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“…In this regard, multiple works have been proposed that tackle this problem from different perspectives. Prates et al [21] proposed a coordination model based on ontologies. This approach employs semantic representations to relate data items.…”

Section: B Coordinated Multiple Viewsmentioning

confidence: 99%

VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

et al. 2022

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The analysis and exploration of complex data sets are common problems in many areas, including scientific and business domains. This need has led to substantial development of the data visualization field. However, the diversity of problems to which visual data analysis is applied hinders the implementation of a universal solution that meets the current and future needs of all disciplines. In this paper, we present VMetaFlow, a graphical meta-framework to design interactive and coordinated views applications for data visualization. Our meta-framework is based on data flow diagrams since they have proved their value in simplifying the design of data visualizations. VMetaFlow operates as an abstraction layer that encapsulates and interconnects visualization frameworks in a web-based environment, providing them with interoperability mechanisms. The only requirement is that the visualization framework must be accessible through a JavaScript API. We propose a novel data flow model that allows users to define both interactions between multiple data views and how the data flows between visualization and data processing modules. In contrast with previous data-flow-based frameworks for visualization, we separate the view interactions from data items, broadening the expressiveness of our model and supporting the most common types of multi-view interactions. Our meta-framework allows visualization and data analysis experts to focus their efforts on creating data representations and transformations for their applications, whereas nonexperts can reuse previously developed components to design their applications through a user-friendly interface. We validate our approach through a critical inspection with visualization experts and two case studies. We have carefully selected these case studies to illustrate its capabilities. Finally, we compare our approach with the subset flow model designed for multiple coordinated views. INDEX TERMS Coordinated views, data visualization, exploratory visual analysis, visual programming I. INTRODUCTION

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Section: B Coordinated Multiple Viewsmentioning

confidence: 99%

VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

et al. 2022

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“…This topic is extracted from the instances selected in source view; • Semantic Coordination [19]: this technique highlights in target views the instances that have an specific set of words selected by the user from an ontology. The words retrieved by the ontology reasoning is based on a topic extracted from that instances selected in source view.…”

Section: Applicationsmentioning

confidence: 99%

Coordinated Multiple Views to Support Image Retrieval

Eler

Prates

Garcia

et al. 2014

2014 18th International Conference on Information Visualisation

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Abstract-The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on query, in which an image (or words) is used as input parameter and a list of similar images (or images with related text content) is recovered. However, understanding how the retrieved images are related to each other remains as a problem. This paper proposes an approach based on multidimensional visualization and coordination techniques to show the relationship from retrieved images. In this approach, coordination techniques are employed to perform image retrieval methods and highlight the results in visual representations, showing how retrieved images are relate. To evaluate our proposal image collections with and without textual annotations related to each image were used, and also image retrieval mechanisms based on distance, topic and semantic to retrieve images from distinct and multimodal datasets.

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Coordinating Multiple Views Using an Ontology-Based Semantic Mapping

Cited by 2 publications

References 12 publications

VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

Coordinated Multiple Views to Support Image Retrieval

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