KNOWLEDGE ORGANIZATION

Journal Information
ISSN : 0943-7444
Published by: Berliner Wissenschafts-Verlag (10.5771)
Total articles ≅ 1,587
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Songphan Choemprayong, Chiraporn Siridhara
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 42-54; https://doi.org/10.5771/0943-7444-2021-1-42

Abstract:
For a special library serving its parent organization, the design and use of classification schemes primarily need to support work activities. However, when the Prince Vivadhanajaya Library at the Bank of Thailand decided to open its doors to the public in 2018, the redesign of classification that serves both internal staff work and the public interest became a challenging task. We designed a classification scheme by integrating work centered classification design approach, classification as communication framework and the service design approach. The design process included developing empathy, ideation and implementation and evaluation. As a result, the new classification scheme, including seven main classes and thirty-seven level-one subclasses and twenty-two level-two subclasses, was primarily based on the organization’s strategic plans, mapping with JEL Classification Codes, Library of Congress Classification (LCC) and Library of Congress Subject Headings (LCSH). The classification scheme also includes geographical code, author cutter number, publication year, volume number and copy number. Follow up interviews with twenty-three participants were conducted two years later to evaluate user experience as well as the staff’s opinion of the new classification scheme. The feedback addressed favorable outcomes and challenges to be used for the next iteration of the library service design process.
Xiaoyue Ma, Xue Pengzhen, Nada Matta, Qiang Chen
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 24-41; https://doi.org/10.5771/0943-7444-2021-1-24

Abstract:
Previous studies on crisis know­ledge organization mostly focused on the categorization of crisis know­ledge without regarding its dynamic trend and temporal-spatial features. In order to emphasize the dynamic factors of crisis collaboration, a fine-grained crisis know­ledge model is proposed by integrating temporal-spatial analysis based on ontology, which is one of the commonly used methods for know­ledge organization. The reconstruction of ontology-based crisis know­ledge will be implemented through three steps: analyzing temporal-spatial features of crisis know­ledge, reconstructing crisis know­ledge ontology, and verifying the temporal-spatial ontology. In the process of ontology reconstruction, the main classes and properties of the domain will be identified by investigating the crisis information resources. Meanwhile the fine-grained crisis ontology will be achieved at the level of characteristic representation of crisis know­ledge including temporal relationship, spatial relationship, and semantic relationship. Finally, we conducted case addition and system implementation to verify our crisis know­ledge model. This ontology-based know­ledge organization method theoretically optimizes the static organizational structure of crisis know­ledge, improving the flexibility of know­ledge organization and efficiency of emergency response. In practice, the proposed fine-grained ontology is supposed to be more in line with the real situation of emergency collaboration and management. Moreover, it will also provide the know­ledge base for decision-making during rescue process.
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 102-103; https://doi.org/10.5771/0943-7444-2021-1-102

Abstract:
KNOWLEDGE ORGANIZATION is a forum for all those interested in the organization of knowledge on a universal or a domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies. KNOWLEDGE ORGANIZATION also addresses the intellectual and automatic compilation and use of classification systems and thesauri in all fields of knowledge, with special attention being given to the problems of terminology. KNOWLEDGE ORGANIZATION publishes original articles, reports on conferences and similar communications, as well as book reviews, letters to the editor, and an extensive annotated bibliography of recent classification and indexing literature. KNOWLEDGE ORGANIZATION should therefore be available at every university and research library of every country, at every information center, at colleges and schools of library and information science, in the hands of everybody interested in the fields mentioned above and thus also at every office for updating information on any topic related to the problems of order in our information-flooded times.
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 1-2; https://doi.org/10.5771/0943-7444-2021-1-1

Abstract:
KNOWLEDGE ORGANIZATION is a forum for all those interested in the organization of knowledge on a universal or a domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies. KNOWLEDGE ORGANIZATION also addresses the intellectual and automatic compilation and use of classification systems and thesauri in all fields of knowledge, with special attention being given to the problems of terminology. KNOWLEDGE ORGANIZATION publishes original articles, reports on conferences and similar communications, as well as book reviews, letters to the editor, and an extensive annotated bibliography of recent classification and indexing literature. KNOWLEDGE ORGANIZATION should therefore be available at every university and research library of every country, at every information center, at colleges and schools of library and information science, in the hands of everybody interested in the fields mentioned above and thus also at every office for updating information on any topic related to the problems of order in our information-flooded times.
Vanda Broughton
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 6-7; https://doi.org/10.5771/0943-7444-2021-1-6

Abstract:
KNOWLEDGE ORGANIZATION is a forum for all those interested in the organization of knowledge on a universal or a domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies. KNOWLEDGE ORGANIZATION also addresses the intellectual and automatic compilation and use of classification systems and thesauri in all fields of knowledge, with special attention being given to the problems of terminology. KNOWLEDGE ORGANIZATION publishes original articles, reports on conferences and similar communications, as well as book reviews, letters to the editor, and an extensive annotated bibliography of recent classification and indexing literature. KNOWLEDGE ORGANIZATION should therefore be available at every university and research library of every country, at every information center, at colleges and schools of library and information science, in the hands of everybody interested in the fields mentioned above and thus also at every office for updating information on any topic related to the problems of order in our information-flooded times.
Mayukh Bagchi
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 8-23; https://doi.org/10.5771/0943-7444-2021-1-8

Abstract:
Since time immemorial, organization and visualization has emerged as the pre-eminent natural combination through which abstract concepts in a domain can be understood, imbibed and communicated. In the present era of big data and information explosion, domains are becoming increasingly intricate and facetized, often leaving traditional approaches of know­ledge organization functionally inefficient in dynamically depicting intellectual landscapes. The paper attempts to present, ab initio, a step-by-step conceptual domain development methodology using know­ledge graphs, rooted in the rudiments of interdisciplinary know­ledge organization and know­ledge cartography. It briefly highlights the implementation of the proposed methodology on business domain data, and considers its research ramifications, originality and limitations from multiple perspectives. The paper concludes by summarizing observations on the entire work and particularizing future lines of research.
Stella Dextre Clarke
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 3-5; https://doi.org/10.5771/0943-7444-2021-1-3

Abstract:
KNOWLEDGE ORGANIZATION is a forum for all those interested in the organization of knowledge on a universal or a domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies. KNOWLEDGE ORGANIZATION also addresses the intellectual and automatic compilation and use of classification systems and thesauri in all fields of knowledge, with special attention being given to the problems of terminology. KNOWLEDGE ORGANIZATION publishes original articles, reports on conferences and similar communications, as well as book reviews, letters to the editor, and an extensive annotated bibliography of recent classification and indexing literature. KNOWLEDGE ORGANIZATION should therefore be available at every university and research library of every country, at every information center, at colleges and schools of library and information science, in the hands of everybody interested in the fields mentioned above and thus also at every office for updating information on any topic related to the problems of order in our information-flooded times.
Xiao-Bo Tang, Wei-Gang Fu, Yan Liu
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 55-71; https://doi.org/10.5771/0943-7444-2021-1-55

Abstract:
The scale of know­ledge is growing rapidly in the big data environment, and traditional know­ledge organization and services have faced the dilemma of semantic inaccuracy and untimeliness. From a know­ledge fusion perspective-combining the precise semantic superiority of traditional ontology with the large-scale graph processing power and the predicate attribute expression ability of property graph-this paper presents an ontology and property graph fusion framework (OPGFF). The fusion process is divided into content layer fusion and constraint layer fusion. The result of the fusion, that is, the know­ledge representation model is called know­ledge big graph. In addition, this paper applies the know­ledge big graph model to the ownership network in the China’s financial field and builds a financial ownership know­ledge big graph. Furthermore, this paper designs and implements six consistency inference algorithms for finding contradictory data and filling in missing data in the financial ownership know­ledge big graph, five of which are completely domain agnostic. The correctness and validity of the algorithms have been experimentally verified with actual data. The fusion OPGFF framework and the implementation method of the know­ledge big graph could provide technical reference for big data know­ledge organization and services.
, Renata Cristina Gutierres, Birger Hjørland, Castanha
Published: 1 January 2021
KNOWLEDGE ORGANIZATION, Volume 48, pp 72-101; https://doi.org/10.5771/0943-7444-2021-1-72

Abstract:
A citation index is a bibliographic database that provides citation links between documents. The first modern citation index was suggested by the researcher Eugene Garfield in 1955 and created by him in 1964, and it represents an important innovation to knowledge organization and information retrieval. This article describes citation indexes in general, considering the modern citation indexes, including Web of Science, Scopus, Google Scholar, Microsoft Academic, Crossref, Dimensions and some special citation indexes and predecessors to the modern citation index like Shepard’s Citations. We present comparative studies of the major ones and survey theoretical problems related to the role of citation indexes as subject access points (SAP), recognizing the implications to knowledge organization and information retrieval. Finally, studies on citation behavior are presented and the influence of citation indexes on knowledge organization, information retrieval and the scientific information ecosystem is recognized.
Published: 1 January 2020
KNOWLEDGE ORGANIZATION, Volume 47, pp 616-616; https://doi.org/10.5771/0943-7444-2020-7-616

Abstract:
KNOWLEDGE ORGANIZATION is a forum for all those interested in the organization of knowledge on a universal or a domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies. KNOWLEDGE ORGANIZATION also addresses the intellectual and automatic compilation and use of classification systems and thesauri in all fields of knowledge, with special attention being given to the problems of terminology. KNOWLEDGE ORGANIZATION publishes original articles, reports on conferences and similar communications, as well as book reviews, letters to the editor, and an extensive annotated bibliography of recent classification and indexing literature. KNOWLEDGE ORGANIZATION should therefore be available at every university and research library of every country, at every information center, at colleges and schools of library and information science, in the hands of everybody interested in the fields mentioned above and thus also at every office for updating information on any topic related to the problems of order in our information-flooded times.
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