Towards a Visual Approach for Representing Analytical Provenance in Exploration Processes

Menin, Aline; Cava, Ricardo; Freitas, Carla Maria Dal Sasso; Corby, Olivier; Winckler, Marco

doi:10.1109/iv53921.2021.00014

Cited by 8 publications

(12 citation statements)

References 26 publications

(25 reference statements)

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“…We propose an approach that combines the chained views concept and the visualization techniques used by MGExplorer (Menin et al, 2021a) and the query construction implemented by LDViz (Menin et al, 2021b). The resulting combination is then extended to include a visual representation of queries and enables on-the-fly query and data processing.…”

Section: Our Approachmentioning

confidence: 99%

“…We provide data visualization through an extension of the tool MGExplorer (Menin et al, 2021a), which implements chained views to assist the exploration of multidimensional and multivariate graphs. Each view in MGExplorer features a unique visualization technique.…”

Section: Interactive Visualization Using Chained Viewsmentioning

confidence: 99%

“…In a previous work (Menin et al, 2021a), we used chained views to support the exploration of LOD datasets while depicting provenance data. In this paper we introduce the concept of follow-up queries that allows users to create queries on demand during the exploratory process while connecting multiple LOD datasets with chained views.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked Data

Menin

Minh

Freitas

et al. 2022

International Journal of Human–Computer Interaction

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The Web of Linked Open Data (LOD) provides access to a great number of dynamic datasets containing valuable information to support decision-making processes in diverse application domains while being publicly accessible and up-to-date. While information visualization techniques are useful to explore, analyze, and explain relationships within LOD data, the existing tools are limited to visualizing a single dataset at a time and, often, use static and preprocessed data. In this paper, we leverage the linked aspect of LOD to support the dynamic integration of data into a visualization system by connecting views and distributed LOD datasets using the socalled follow-up queries. We demonstrate how our approach uses dynamic SPARQL queries to integrate external data into the exploration flow through visualization techniques and enrich the ongoing analysis. We ran a semi-structured interview to assess the usefulness of our approach, which results were encouraging while showing its relevance to explore big linked data.

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Section: Our Approachmentioning

confidence: 99%

Section: Interactive Visualization Using Chained Viewsmentioning

confidence: 99%

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Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked Data

Menin

Minh

Freitas

et al. 2022

International Journal of Human–Computer Interaction

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“…Inspired by these previous works we investigate the use of annotations to support decision-making processes through the visual exploration. We show that annotations can support analytical provenance studies by allowing data analysts to reason with various evidences collected during the exploration process and also trace back the results to the source of findings [15,21]. Despite the concept of annotation being simple to understand, implementing has many implications on the design and development of tools.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we focus on annotations that can embedded with provenance data, thus, supporting the tracking of use context of annotations, while supporting collaborative tasks around annotations. Our approach is implemented as a plug-in embedded into a visualization tool called MGExplorer [15]. The usage of our tools are illustrated through a set of use case scenarios describing the exploration of the Wasabi dataset [2], a large dataset describing music data.…”

Section: Introductionmentioning

confidence: 99%

Engineering Annotations to Support Analytical Provenance in Visual Exploration Processes

Tikat

Menin

Buffa

et al. 2022

Lecture Notes in Computer Science

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This paper focuses on the fundamental role played by annotations to support provenance analysis in visual exploration processes of large datasets. Particularly, we investigate the use of annotations during the visual exploration of semantic datasets assisted by chained visualization techniques. In this paper, we identify three potential uses of annotations: (i) documenting findings (including errors in the dataset), (ii) supporting collaborative reasoning among teammates, and (iii) analysing provenance during the exploratory process. To demonstrate the feasibility of our approach, we implemented it as a tool support, while illustrating its usage and effectiveness through a series of use case scenarios. We identify the attributes and meta-data that describe the dependencies between annotations and visual representations, and we illustrate these dependencies through a domain-specific model.

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ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive

Toulet

Michel

Bobasheva

et al. 2022

The Semantic Web – ISWC 2022

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Faced with the ever-increasing number of scientific publications, researchers struggle to keep up, find and make sense of articles relevant to their own research. Scientific open archives play a central role in helping deal with this deluge, yet keyword-based search services often fail to grasp the richness of the semantic associations between articles. In this paper, we present the methods, tools and services implemented in the ISSA project to tackle these issues. The project aims to (1) provide a generic, reusable and extensible pipeline for the analysis and processing of articles of an open scientific archive, (2) translate the result into a semantic index stored and represented as an RDF knowledge graph; (3) develop innovative search and visualization services that leverage this index to allow researchers, decision makers or scientific information professionals to explore thematic association rules, networks of co-publications, articles with co-occurring topics, etc. To demonstrate the effectiveness of the solution, we also report on its deployment and user-driven customization for the needs of an institutional open archive of 110,000+ resources. Fully in line with the open science and FAIR dynamics, the presented work is available under an open license with all the accompanying documents necessary to facilitate its reuse. The knowledge graph produced on our use-case is compliant with common linked open data best practices.

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Towards a Visual Approach for Representing Analytical Provenance in Exploration Processes

Cited by 8 publications

References 26 publications

Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked Data

Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked Data

Engineering Annotations to Support Analytical Provenance in Visual Exploration Processes

ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive

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