The Taxobook: Principles and Practices of Building Taxonomies: Part 2 of a 3-Part Series

Hlava, Marjorie M.K.

doi:10.2200/s00603ed1v02y201410icr036

Cited by 11 publications

(8 citation statements)

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“…Thematic subspace is a part of the general space, limited by the framework of a specific subject area. Despite the fact that there are some examples of formalization of knowledge in different subject areas [5][6][7][8][9][10][11][12][13][14][15], there is no generalized approach to defining the digital space of scientific knowledge. An analysis of examples of the formalization of the knowledge space [16,17] in various areas indicates that the main components of the CDSSK in general and each of its thematic subspaces in particular are ontology and content.…”

Section: Basic Definitionsmentioning

confidence: 99%

Informational Infrastructure of the Common Digital Space of Scientific Knowledge

Ataeva

Каленов

Serebryakov

et al. 2021

Preprint

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The space of scientific knowledge is understood as a system of knowledge from various fields of science tested by the scientific community. The Common Digital Space of Scientific Knowledge (CDSSK) is a digital environment into which information resources and objects that have been tested by the scientific community and that reflect scientific knowledge from a different fields of science are integrated. The common digital space of scientific knowledge consists of a set of thematic subspaces related to various areas of science, built according to common principles. The first step towards the implementation of the CDSSK is the development of its ontology, i.e. a multi-level system of concepts describing resources and objects of subject areas, concepts, terms and connections between them, characterized by an open hierarchical and dynamic structuring, oriented both for storing existing knowledge and for extracting new ones. Since the CDSSK is a fundamentally new information environment, there are a number of significant problems on the way to its implementation. The paper deals with the problems and tasks of forming such a space and developing tools for implementation and support the CDSSK

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Section: Basic Definitionsmentioning

confidence: 99%

Informational Infrastructure of the Common Digital Space of Scientific Knowledge

Ataeva

Каленов

Serebryakov

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In fact, the CDSSK consists of a set of subspaces related to various areas of science, built according to common principles. Despite the fact that there are some examples of formalization of knowledge in different subject areas [7,[8][9][10][11][12][13][14][15], there is no generalized approach to defining the digital space of scientific knowledge. An analysis of examples of the formalization of the knowledge space in various fields indicates that the main components of the DSSK in general and each of its subspaces in particular are ontology and its content.…”

Section: Components Of Cdsskmentioning

confidence: 99%

Ontological Approach to the Description of a Common Digital Space of Scientific Knowledge

Ataeva

Каленов

Serebryakov

2020

Preprint

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Despite the development of technical means, the processes associated with the search for complete and accurate scientific information in a huge number of data sources are becoming more complicated. To reach a new level in the use of information processing technologies, first of all, a transition to a semantically meaningful representation is necessary for scientific knowledge extracted from information in a digital environment. In modern conditions, characterized by multidisciplinary research, the desired effect can be achieved by developing universal approaches to the storage and presentation of scientific knowledge. These approaches are reflected in the concept of the Common Digital Space of Scientific Knowledge. The paper presents an overview of the basic concepts in this area, which are used both to represent the elements of space and to provide access to them not only for humans, but also for software agents. Semantic libraries are considered as tools for constructing the knowledge space.

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“…Similarly, classifications which employ a hierarchical structure may wish to consider the depth and complexity of their structure. While other research areas have developed rules (such as ensuring consistency in depth to promote a 'balance' to the hierarchy, easing predictability when browsing and navigating the structure [Hla14], or limiting the depth of the hierarchy, as in the (now outdated) '3 click rule' for designing web navigation), the potential effect of hierarchical structure has not been considered when developing task classifications. The optimal structure of a classification will likely depend very much on individual circumstances and intended use.…”

Section: Categorisation: Threats To Validitymentioning

confidence: 99%

Constructing and Evaluating Visualisation Task Classifications: Process and Considerations

Kerracher

Kennedy

2017

Computer Graphics Forum

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Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been developed over the last three decades. While these classifications are universally purported to be useful in both the design and evaluation processes and in guiding future research, remarkably little attention has been paid to how these frameworks have-and can be-constructed and evaluated. In this paper we review the task classification literature and report on current practices in construction and evaluation. We consider the stages of task classification construction and identify the associated threats to validity arising at each stage and in response to the different methods employed. We provide guidance on suitable validation approaches in order to mitigate these threats. We also consider the appropriateness of evaluation strategies according to the different aspects of the classification which they evaluate. In so doing, we seek to provide guidance for developers of classifications in determining appropriate construction and evaluation strategies when developing a classification, and also for those selecting between competing classifications for use in the design and evaluation processes.

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The Taxobook: Principles and Practices of Building Taxonomies: Part 2 of a 3-Part Series

Cited by 11 publications

References 0 publications

Informational Infrastructure of the Common Digital Space of Scientific Knowledge

Informational Infrastructure of the Common Digital Space of Scientific Knowledge

Ontological Approach to the Description of a Common Digital Space of Scientific Knowledge

Constructing and Evaluating Visualisation Task Classifications: Process and Considerations

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