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The purpose of this study is to develop a conceptual model, ProvKOS, for tracking the provenance of change activities in a knowledge organization system (KOS). By extending current provenance practices, this model represents dynamic changes in a KOS more effectively.

We take a five-step approach to develop the conceptual model, including content analysis of KOS editorial data, environmental scan of existing provenance models, development of persona-specific provenance questions and a participatory design with stakeholders to ensure the model’s utility.

We introduce (1) a taxonomy of editorial activities for a KOS; (2) a conceptual model ProvKOS, which extends existing models PROV and Simple Knowledge Organization Systems (SKOS). We also provide detailed data dictionaries for the entities, activities and warrants classes proposed in the model. A use case on “gender dysphoria” in Dewey Decimal Classifications (DDCs) is provided to illustrate the implementation of ProvKOS. This shows ProvKOS’s ability to capture KOS changes effectively and to link external resources relating to the changes.

Further validation may be needed to implement the ProvKOS model across various types of KOSs.

ProvKOS can help improve machine readability, querying and analysis of a KOS. Especially within the linked data environment, the enhanced provenance documentation through ProvKOS can enable a network of KOSs, which will then inform better linked data or knowledge graph designs.

By facilitating better tracking of changes within a KOS and across KOSs, ProvKOS can enhance the accessibility and usability of knowledge bases across different cultural and social contexts, thus better supporting inclusive information practices.

The proposed model is novel in two ways: one, its ability to represent dynamic change activities in a KOS, which has not been discussed anywhere else; two, it supports the interconnectivity across KOSs by providing a “warrant” class to substantiate the context of changes.

This study aims to collect distributed knowledge organization systems (KOSs) from various domains, enrich each with meta information and link them to the multilingual KOS registry, facilitating integrated search alongside KOSs from various languages and regions.

This research involved collecting and organizing KOS information through three primary steps. The initial phase involved finding KOSs from Web search results, supplemented by the Korea ON-line E-Procurement System (KONEPS) and the National R&D Integrated Notification Service. After obtaining these KOSs, they were enriched by structuring contextual meta information using Basic Register of Thesauri, Ontologies and Classification (BARTOC) metadata elements and established dedicated media wiki pages for each. Finally, the KOSs were linked to the multilingual KOS registry, BARTOC, ensuring seamless integration with KOSs from various languages and regions and creating connections between each registry entry and its associated KOS wiki page.

The research findings revealed several insights, as follows: (1) importance of a stable source for collecting KOS: no national body currently oversees KOS registration, underscoring the need for a systematic approach to collect dispersed KOSs. For Korean KOSs (K-KOSs), KONEPS and National R&D Integrated Notification Service are effective data sources. (2) Importance of enhanced metadata: merely collecting KOSs were not enough. Enhanced metadata bridges access gaps and dedicated wiki pages aid user identification and understanding. (3) Observations from multilingual registry uploads: When adding KOSs to a multilingual registry, similarities were observed across languages and regions. Recognizing this, the K-KOSs were linked with their international counterparts, fostering potential global collaboration.

Due to the absence of a dedicated KOS registry agency, the study might have missed KOSs from certain fields or potentially over-collected from others. Furthermore, this study primarily focused on K-KOSs and their integration into the BARTOC registry, which might influence the methods and perspectives on collecting and establishing links among analogous KOSs in the registry.

This research pursued a stable method to detect KOS development and revisions across various fields. To facilitate this, we used the integrated e-procurement and R&D notification system and added meta information to aid in the identification and understanding of KOSs, which includes media wiki pages. Furthermore, link information was provided between the BARTOC registry and the Korean KOS websites and media wiki pages.

The purpose of this paper is to examine and provide an insight into Canadian post‐secondary institutional repositories (IRs) with respect to user interface features and knowledge organization systems (KOS) used.

The approach is to explore all Canadian post‐secondary institutions and their user interfaces to establish the type of searching and browsing features they have used and whether or not they have made use of KOS such as subject heading lists or classification schemes.

A directory of 27 IRs in Canada is created. Incorporation of KOS in institutional repository is evaluated. The examination is focuses on accessibility, searching, KOS use, and retrieval. Evaluation shows that few IRs have incorporated complex KOS such as controlled vocabularies. Browsing and searching options are available, but user interfaces are usually not modified to enhance information retrieval.

This is the first paper examining Canadian IRs from the perspectives of searching, browsing and the use of KOS.

Through a theoretical review of the literature, this chapter assesses the potential of different knowledge organisation systems (KOS) to support corporate knowledge management systems (KMS), namely digital libraries (DL) in companies and other institutions. Questions are framed through which the chapter discusses how classical KOS, such as nomenclatures, classification systems, thesauri and ontologies, are able to reflect explicit knowledge in sense of the Semantic Web and also introduces persons as documents along with folksonomies as a means for externalising implicit knowledge in sense of the Web 2.0.

The purpose of this paper is to propose a methodology for the enrichment and tailoring of a knowledge organization system (KOS), in order to support the information extraction (IE) task for the analysis of documents in the tourism domain. In particular, the KOS is used to develop a named entity recognition (NER) system.

A method to improve and customize an available thesaurus by leveraging documents related to the tourism in Italy is firstly presented. Then, the obtained thesaurus is used to create an annotated NER corpus, exploiting both distant supervision, deep learning and a light human supervision.

The study shows that a customized KOS can effectively support IE tasks when applied to documents belonging to the same domains and types used for its construction. Moreover, it is very useful to support and ease the annotation task using the proposed methodology, allowing to annotate a corpus with a fraction of the effort required for a manual annotation.

The paper explores an alternative use of a KOS, proposing an innovative NER corpus annotation methodology. Moreover, the KOS and the annotated NER data set will be made publicly available.

The purpose of this paper is to explore the basics of semiotic analysis and concept theory that represent two dominant approaches to knowledge representation, and explore how these approaches are fruitful for knowledge organization.

In particular the semiotic theory formulated by the American philosopher C.S. Peirce and the concept theory formulated by Ingetraut Dahlberg are investigated. The paper compares the differences and similarities between these two theories of knowledge representation.

The semiotic model is a general and unrestricted model of signs and Dahlberg's model is thought from the perspective and demand of better knowledge organization system (KOS) development. It is found that Dahlberg's concept model provides a detailed method for analyzing and representing concepts in a KOS, where semiotics provides the philosophical context for representation.

This paper is the first to combine theories of knowledge representation, semiotic and concept theory, within the context of knowledge organization.

The study aims to investigate, through mapping analysis, the operation of knowledge organization systems (KOS) in different languages (English and Chinese), the types of term equivalence and the degree of similarity between different conceptual structures, and issues related thereto.

Terms are selected from the Art & Architecture Thesaurus developed by Getty Research Institute in the USA (source language) and the National Palace Museum in Taiwan participating in Taiwan e‐Learning and Digital Archives Program (target language). In respect of data analysis, mapping analysis and content analysis are both adopted.

Among the six types of term equivalence, “exact equivalence” appears most frequently. The degree of similarity between different conceptual structures can be divided into four types: similar structure, transferring part of the structure of source language into the system of target language by modeling; similar structure, but the structure of source language needs to be expanded or revised; dissimilar structure, the term in target language can be partially mapped to the term in source language; lack of structure, no matches between target language and source language.

The next step is to develop a more comprehensive conceptual structure that can incorporate multicultural perspectives. If the “partial equivalence” terms are further identified as important concepts, the problems of non‐exact equivalence terms and dissimilar conceptual structures can be solved by addressing the needs of English users in searching for Chinese art collections.

The study serves as a pilot study applicable to the development of multilingual KOS in the domain of Chinese fine arts, building the first demonstration model for the interoperability of KOS in Chinese and English.

The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval.

Over 11,000 Intute metadata records in politics were used. Totally, 28 politics students were each given four tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was DDC comprising also mappings from the Library of Congress Subject Headings.

The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology.

No research has investigated the enhancement of social tagging with suggestions from the DDC, an established KOS, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.

The purpose of this study is to empirically investigate how knowledge-based organizational support (KOS) influences organizational performance through project management.

Data were obtained from a survey and from archival sources with a time lag for the dependent variable; structural equation modeling was used to analyze the data. The sample was made up of 106 organizations in Colombia, considering two key respondents from each organization: general manager and project manager.

Results show that KOS is an antecedent of project management and project performance. Furthermore, project management and project performance play a mediating role between KOS and organizational performance.

Research limitations are the following: use of cross-sectional data with a time lag, one single unit of analysis, organizational performance analyzed only from a financial perspective. Despite these limitations, the paper puts forward relevant implications that bridge knowledge management and project management literature by clarifying the conditions under which knowledge organizational support generates a significant impact on organizational performance. Intellectual capital and knowledge management dynamic capabilities play a relevant role in this connection.

The findings have important practical implications: decision-makers are to allocate effectively hard and soft resources to configure a knowledge-based infrastructure, through the development of intellectual capital and knowledge management dynamic capabilities.

The findings are generalizable to projects management in the context of non-government organizations or other social-oriented initiatives.

This study assumes and operationalizes organizational support from a knowledge-based perspective, represented by intellectual capital and knowledge management dynamic capabilities, providing empirical evidence of the way KOS influences organizational performance through project management and project performance.

The need for inclusive and logically consistent representation of diverse and even confronting viewpoints on the domain knowledge has been widely discussed in the literature in the past decade. The purpose of this paper is to propose a generic model for building an open coherent diversified knowledge organization system (KOS).

The proposed model incorporates a generic epistemological component, the validity scope type, assigned to each statement in the constructed KOS. Statements are clustered by their association with various validity scope types into internally coherent subsystems. These subsystems form a knowledge organization network connected through the universal (consensual) subsystems with more than one validity scope type. The model extends the Galili’s Cultural Content Representation paradigm, which divides the knowledge content of a scientific theory into two confronting parts: body and periphery.

The knowledge organization network model makes it possible to comparatively examine similarities and differences among various viewpoints and theories on the domain knowledge. The presented approach conforms with the principle of Open Knowledge Network initiative for creation of open accessible knowledge.

The proposed model can be used for ontological reasoning by a variety of information services, such as ontology-based decision-support and learning systems, diversified search and customer management applications.

The model enables explicit representation of social and cultural minority voices and historical knowledge in the KOS.

The main contribution of the proposed model is that it generalizes and enhances various previously proposed representations of epistemological aspects of KOS and allows for multiple inter-linked subsystems to coherently co-exist as part of the extensible network.