期刊
COMPUTER GRAPHICS FORUM
卷 39, 期 3, 页码 757-783出版社
WILEY
DOI: 10.1111/cgf.14035
关键词
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资金
- Boeing Company [2018-BRT-PA-332]
- National Science Foundation [1755734]
- FFG within the Austrian COMET Program Competence Centers for Excellent Technologies under Austrian Federal Ministry of Transport, Innovation and Technology [854184]
- Austrian Federal Ministry for Digital and Economic Affairs
- Province of Upper Austria
- Province of Styria
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1755734] Funding Source: National Science Foundation
There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete picture of the current state of inquiry and identify knowledge gaps or possible avenues for further investigation. In this STAR, we aim to produce a comprehensive survey of work in the data visualization and visual analytics field that focus on the analysis of user interaction and provenance data. We structure our survey around three primary questions: (1) WHY analyze provenance data, (2) WHAT provenance data to encode and how to encode it, and (3) HOW to analyze provenance data. A concluding discussion provides evidence-based guidelines and highlights concrete opportunities for future development in this emerging area. The survey and papers discussed can be explored online interactively at https://provenance-survey.caleydo.org.
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