Sources of Change for Modern Knowledge Organization Systems

Lauruhn, Michael; Groth, Paul

doi:10.5771/0943-7444-2016-8-622

Cited by 3 publications

(4 citation statements)

References 8 publications

(9 reference statements)

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“…Cooperative development of KOSs is one of the important trends that can impact the endeavor that has been traditionally done by a group of specialists (cf. Lauruhn and Groth, 2016). However, the studies on these conceptual structures require not only methods relevant to the traditional KOSs but also approaches that can reveal the social and cultural context of their development and usage.…”

Section: Discussionmentioning

confidence: 99%

“…Wikipedia articles about pandemic-related objects and phenomena and Wikidata have been a subject of research from many other perspectives, including a KO standpoint. Lauruhn and Groth (2016) emphasized that the crowdsourcing method of the construction of KOS, such as in the case of Wikipedia, can be considered one of the sources of change in KOS development and maintenance. According to them, future KOSs will be developed in a hybrid way, including both information professionals and social contributors or software agents.…”

Section: Literature Reviewmentioning

confidence: 99%

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COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations

Roszkowski

Włodarczyk

2021

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PurposeThe paper aims to present the development of conceptualization of coronavirus disease 2019 (COVID-19) based on associations with other articles on English edition of Wikipedia. The main goal of the paper is to study the social organization of knowledge about COVID-19 within the Wikipedia community of practice.Design/methodology/approachThe methodological approach taken in this study was based on the application of Moscovici's theory of social representations to Wikipedia's knowledge organization system (KOS). Internal links in the Wikipedia article about COVID-19 were considered anchors in its social representations. Each link in the introductory part of the article was considered an indicator of the semantic relationship between COVID-19 and other concepts from Wikipedia's knowledge base. The subject of this study was links extracted from all revisions of the COVID-19 article between February and September 2020. Qualitative and quantitative analyses were performed on these conceptual structures using both synchronic and diachronic approaches.FindingsIt was found that the evolution of anchors in the Wikipedia article on COVID-19 was in line with the mechanism of symbolic coping related to infectious disease. It went through stages of divergence, convergence and normalization. It shows that this mechanism governs the social organization of knowledge related to COVID-19 on Wikipedia.Originality/valueNo studies have been devoted to the image of COVID-19 as presented by the evolution of links in Wikipedia and its implications for knowledge organization (KO).

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations

Roszkowski

Włodarczyk

2021

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“…Many in the community have brought forward evidence of the need for a repository of KOSs that can allow observation across space and time. Tennis (2002;2007;2012; has been the most prominent catalyst for the KO community, joined by Fox (2016), Lauruhn and Groth (2016), Lee (2016), Salah et al (2012), , Scharnhorst and Smiraglia (2012) and Smiraglia et al (2013). Such an observatory would be a place where one might find:…”

Section: The Idea Of a Kos Observatorymentioning

confidence: 99%

Observing trajectories of KOSs Across Space and Time: The DANS KOS Observatory (KOSo)

Coen¹,

Smiraglia²,

Doorn³

et al. 2019

nasko

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Knowledge Organization Systems (KOSs) include a wide variety of schemas ranging from ontologies, to classifications, thesauri, taxonomies, semantic networks, etc. These schemas can be updated and revised (or conversely become obsolete or lost) and are therefore prone to change over time. A wish expressed frequently by the research front in the KO community was for an “observatory” of KOSs. In 2017, via the KNAW Visiting Professor programme, DANS [1] began to focus more on understanding how KOSs change over time, how they can be archived, how version identification and control can be addressed, and also, how KOSs can be aligned to the ‘FAIR’ Data Principles (Findable, Accessible, Interoperable, Reusable). This research ambition coupled with community interest lead to the creation of the KOSo (Knowledge Organization Systems Observatory). Concretely, the observatory involves the identification of KOSs within the social sciences and humanities or the life sciences. KOSs have been described and ordered in the observatory through a process of empirical association in order to resist the potential pitfall of already organizing these resources through the lens of other KOSs (e.g. already describing the KOS in terms of existing controlled vocabularies). KOSo employs both metadata terms and formal classifications, using the Information Coding Classification in a synthetic format together with the KO Literature Classification, thus rendering for each KOS a domain-centric term faceted with a KOS-form term. Additionally, we classify domains using the NARCIS Classification, which is a framework to represent the research foci of the Dutch national research infrastructure.

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“…The need to understand how KOSs adapt to changes in knowledge, particularly over time, has been identified as an important question for research in knowledge organization (Gnoli 2008;Lauruhn and Groth 2016;;Scharnhorst et al 2016;Tennis 2012 and2016). The problem of schema evolution is not new, and is not unique to NHMs (see Roddick 1992; see also Gao and Zaniolo 2012b;Brahmia et al 2015a and b;Galante et al 2005;Gao and Zaniolo 2012a).…”

Section: Schema Evolution and Crosswalksmentioning

confidence: 99%

Logic-Based Schema Alignment for Natural History Museum Databases

Thomer

Cheng

Schneider³

et al. 2017

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bana-Champaign in 2017. She conducts research in the areas of digital curation, natural history museum informatics, information organization, and information system usability. She is particularly interested in the long-term usability of digital collections and their infrastructures. Prior to her work in information science, she was an excavator at the La Brea Tar Pits, a rich fossil site in Los Angeles. She continues to draw on her experience in paleontology, evolutionary biology, and museums.

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Sources of Change for Modern Knowledge Organization Systems

Cited by 3 publications

References 8 publications

COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations

COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations

Observing trajectories of KOSs Across Space and Time: The DANS KOS Observatory (KOSo)

Logic-Based Schema Alignment for Natural History Museum Databases

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