What is Knowledge Visualization? Perspectives on an Emerging Discipline

Bertschi, Stefan; Bresciani, Sabrina; Crawford, Tom; Goebel, Randy; Kienreich, Wolfgang; Lindner, Martin; Sabol, Vedran; Moere, Andrew Vande

doi:10.1109/iv.2011.58

Cited by 33 publications

(13 citation statements)

References 11 publications

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“…In a collation of expert opinions [20] V. Sabol pinpoints the potential benefits of the knowledge visualization effort: … Knowledge in visual form not only facilitates remembering and transfer, it also provides the fuel for reasoning processes where new knowledge is derived and created from previously acquired knowledge. … Supporting teamwork through visual means is in fact a recurrent research topic inside the knowledge visualization field, i.e.…”

Section: Knowledge Visualisation Solutionsmentioning

confidence: 99%

What Comes before a Digital Output? Eliciting and Documenting Cultural Heritage Research Processes

Dudek¹,

Blaise²

2017

IJCH

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Abstract-Knowledge-based systems, are today part of many research protocols where they act as powerful means to model, implement and cross-examine the workflows that lead from a set of inputs to a set of outputs.They remain however tricky to apply in the specific context of heritage science where workflows include a long tail of subjective human decisions, of non-explicit research protocols, of poorly formalised pieces of knowledge, of highly individual skills, of undocumented, non-reproducible, intuitive interpretations, when not simply of licentia artistica. Yet the heritage science community has witnessed over the past decades the emergence of huge quantities of digital outputs, either following massive digitization efforts, or as a result of the growing capacity of actors to produce digital-born material. How can this move be supported in terms of reproducibility, reusability and cross-examination of results if research protocols remain non-formalised one-shot efforts?The research presented in this paper bases on the idea that what should be formalised and shared with future generations are not end results alone (outputs) but the methods and processes that lead the making of the output (human skills, tools, technological procedures, cognitive processes, scientific protocols, etc.).Our contribution addresses a pending issue: how can we today complement traditional approaches to heritage assets documentation with means to describe and record research processes and workflows? The infrastructure we propose raises knowledge representation, visualisation, and information management issues. It applies primarily to a range of specific cultural heritage related artefacts, but is expected to be fairly generic in terms of methodology. In this paper we describe the methods employed in order to elicit underlying activities, support team elicitation through ad-hoc visualisations, promote a consistent visual interfacing of the underlying Information System.

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Section: Knowledge Visualisation Solutionsmentioning

confidence: 99%

What Comes before a Digital Output? Eliciting and Documenting Cultural Heritage Research Processes

Dudek¹,

Blaise²

2017

IJCH

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“…Knowledge visualization has a long history starting from expressing the feeling by drawing in ancient time to nowadays complex but beautiful relationship network (Bertschi et al 2011). …”

Section: Mapping Knowledge Domainmentioning

confidence: 99%

Keywords co-occurrence mapping knowledge domain research base on the theory of Big Data in oil and gas industry

Zhu

Liu

et al. 2015

Scientometrics

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Taking the theses' keywords in China from 1986 to 2014 as the research materials, use the basis concept of the Big Data Theory to further study the keywords which related to oil and gas industry. Analyze the keywords frequency of the theses in oil and gas industry and its co-occurrence frequency pair, and then use the theory of mapping knowledge domain to visualize the keywords co-occurrence network in petroleum industry so as to make further research of the heated issues that mapping knowledge domain has shown. According to the research we can see that the application technology R&D (research and development) predominate the oil and gas industry, featuring a high concentration and long tail phenomenon (which means various researches focus on different kinds of things, the scale of the research is large).

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“…With the introduction of storytelling the differences between these two areas are getting blurred. According to Bertschi et al "in order for information to transform into knowledge, one must share some context, some meaning, in order to become encoded and connected to preexisting experience" [1]. Storytelling is one of the tools that is capable of introducing context and meaning in the visualization, not only helping users to establish connections between the complex data represented,but also introducing an important component, particular to knowledge visualization, that is tacit knowledge.…”

Section: Related Workmentioning

confidence: 99%

How to Tell Stories Using Visualization

Figueiras

2014

2014 18th International Conference on Information Visualisation

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The benefits of storytelling's are long-known and its potential to simplify concepts, create emotional connection, and capacity to help retain information has been explored in different areas, such as journalism, education, and others. The necessity to incorporate storytelling in visualizations arises from the need to share complex data in a way that is engaging. Advances in technology have enabled us to go beyond the traditional forms of storytelling and representing data, giving us more attractive and sophisticated means to tell stories.In this paper, we present the results of a focus group study that was conducted with the purpose of collecting information on the narrative elements in a collection of visualizations and the possible inclusion of storytelling elements in those. In this study information about the visualizations in terms of comprehension, navigation, and likability was also collected with the intent of identifying elements that are appealing in the visualizations. Furthermore, we suggest strategies for storytelling in visualizations.

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What is Knowledge Visualization? Perspectives on an Emerging Discipline

Cited by 33 publications

References 11 publications

What Comes before a Digital Output? Eliciting and Documenting Cultural Heritage Research Processes

What Comes before a Digital Output? Eliciting and Documenting Cultural Heritage Research Processes

Keywords co-occurrence mapping knowledge domain research base on the theory of Big Data in oil and gas industry

How to Tell Stories Using Visualization

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