Knowledge Organization Tools Research Articles

Developing a data quality assurance ontology for research data repositories

PurposeData quality assurance (DQA) is essential for enabling the sharing and reuse of research data, especially given the increasing focus on data transparency, reproducibility, credibility and validity in research. Although the literature on research data curation is vast, there remains a lack of theory-guided exploration of DQA modeling in research data repositories (RDRs).Design/methodology/approachThis study addresses this gap by examining 12 distinct cases of DQA-related knowledge organization tools, including four metadata vocabularies, three metadata schemas, one ontology and four standards used to guide DQA work in RDRs.FindingsThe study analyzed the cases utilizing a theoretical framework based on activity theory and data quality literature and synthesized a model and a knowledge artifact, a DQA ontology (DQAO, Lee et al., 2024), that encodes a DQA theory for RDRs. The ontology includes 127 classes, 44 object properties, 7 data properties and 18 instances. The article also uses problem scenarios to illustrate how the DQAO can be integrated into the FAIR ecosystem.Originality/valueThe study provides valuable insights into DQA theory and practice in RDRs and offers a DQA ontology for designing, evaluating and integrating DQA workflows within RDRs.

OBSKP: Oracle Bone Studies Knowledge Pyramid Model With Applications

Oracle Bone Studies (OBS) benefit a lot from the introduction of computer science and artificial intelligence (AI), which changes the traditional way of organization of OBS knowledge, and results in a rapid accumulation of important research data. However, these data are not fully explored, and the processing faces challenges in the storage, representation, sharing and reuse of OBS big data, due to the lack of knowledge organization and management tools and knowledge application models for OBS. To address the two outstanding problems faced by OBS research bottleneck: high dependence on expert knowledge but low degree of knowledge sharing and reuse; poor computability and interpretability due to qualitative analysis. A new knowledge organization model carved from multiple dimensions such as refinement, fragmentation, conceptualization, networking, vectorization, and multimodal fusion is proposed. The OBS Knowledge application Pyramid (OBSKP) model is proposed from the perspective of Computational Oracle Bone Studies (COBS). The OBSKP shows the direction for the OBS research in the era of AI and provides the storage and representation standards and specifications for the subsequent OBS research data. Moreover, several important applications based on the OBSKP are presented.

Os processos e sistemas em Organização do Conhecimento análise de verbetes da Enciclopédia da ISKO

The Knowledge Organization Systems (KOS) as tools used to interpret knowledge structuresare considered, helping in the organization, representation and retrieval of information. It is discussed to what extent the entries as Knowledge Organization (KO)tools contribute to understanding and greater applicability, in the sense of contributing to the Information Science area in what concerns information retrieval. For this, a data survey was carried out considering the terms retrieved in ISKO, identified by the ISKO Encyclopedia of Knowledge Organization(IEKO). The analysis was performed using the content analysis methodology. Based on the approach proposed by this work, 32 articles were retrieved to discuss the concepts of KOSin the Brazilian Information Science literature. As a result, we identified the entries that made it possible to direct some theoretical and practical contributions in the context of KO. The entries retrieved in IEKO are classification systems and showthat this system orders and highlights the KOprocess for its particular use, butthat its practice does not contribute for the knowledge to be retrieved, being necessary theconjunction with another process, such as indexing, so that it can be retrieved by subject, which allows us to conclude that indexing assigns representative terms based on the concepts of the material, allowing us to observe how IEKOhas understood the KO processes and systems. For several authors, KOis approached from different thoughts and points of view: the KOSas a process addresses the representation, organization, description of documents, using classification, indexing and cataloging as a procedure; and KOSas a tool, uses rules and standards such as classification systems, thesauri, ontologies and so on.

Research on Intelligent Construction Algorithm of Subject Knowledge Thesaurus Based on Literature Resources

The implementation of National Science and Technology Innovation Strategy demands exponential growing in knowledge services on literature information institutions. It is the most important knowledge organization tool for Information Retrieval, which can be widely used for semantic citation, organization and retrieval of literature resources. This study aims to develop an innovative algorithm for constructing subject thesaurus based on massive literature resource data and mining academic neologisms, also the semantic relationship between academic neologisms and subject system. We firstly collect a dataset of literature corpus, corresponding work for data pre-processing carried out. Then using the FastText model to complete academic neologisms mining, we construct an automatic categorization model of academic neologisms based on the Bert and TextCNN algorithm. The algorithm proposed in this study is validated by 8.1 million multi-source and heterogeneous literature data in the field of marine disciplines. The result shows that the algorithm can effectively replace 90% of the manual annotation volume, mine a large number of high-quality marine neologisms and successfully build the marine science knowledge base with a pass rate of 82.6% reviewed by expert, which present high accuracy and certain engineering application prospects.

Application of a Multilevel Technology Acceptance Management Model for Effective Technology Deployment

Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.

Application of a Multilevel Technology Acceptance Management Model for Effective Technology Deployment

Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.

Faceted classification in support of diversity: the role of concepts and terms in representing religion

The paper examines the development of facet analysis as a methodology and the role it plays in building classifications and other knowledge-organization tools. The use of categorical analysis in areas other than library and information science is also considered. The suitability of the faceted approach for humanities documentation is explored through a critical description of the FATKS (Facet Analytical Theory in Managing Knowledge Structure for Humanities) project carried out at University College London. This research focused on building a conceptual model for the subject of religion together with a relational database and search-and-browse interfaces that would support some degree of automatic classification. The paper concludes with a discussion of the differences between the conceptual model and the vocabulary used to populate it, and how, in the case of religion, the choice of terminology can create an apparent bias in the system.

Indicizzazione semantica di risorse musicali. L’applicabilità del Nuovo soggettario e il suo arricchimento con terminologia specialistica

The goal of this study is to present an overview of issues related to subject indexing of musical resources and also to describe what ‘subject’ access means in this domain. In other Countries subject indexing is realized with a lot of initiatives throughout the years, such as LCSH, the Music Thesaurus Project, Musaurus, and Rilm; in Italy the Nuovo Soggettario Thesaurus could be the tool for this practice. As a matter of fact, The Nuovo Soggettario Thesaurus comply with international standards and is freely accessible on the Web. It is steadily growing thanks to the efforts of the National Library of Florence (BNCF) as well as the external collaboration of several institutions. The Thesaurus, organized in a hierarchical arrangement, with a thoroughly faceted and synthetically list of terms, provides many links which allow connections to other knowledge organization tools as well as archival and museum resources. The Thesaurus structure is based on four conceptual categories which contain classes of concepts with common characteristics. Furthermore, terms are provided with a rich apparatus of notes and a dense network of semantic relationships (BT, NT, RT) that clarify the meaning of the terms. The Thesaurus is integrated with the BNCF’s opac and other libraries’ one, which use it in the Servizio Bibliotecario Nazionale (SBN) and users can browse through vocabulary to the bibliographic records. A large number of terms has a cross-language equivalence relationship with Library of Congress Subject Headings (LCSH) preferred terms, linked at “Equiv. LCSH”. This article aims to present the possibility of enriching the terminological heritage of the Thesaurus with musical terminology. In addition, a case study (Sinfonie term) is presented which describes some interesting peculiarities about the musical terms. The management of the term has involved the examination of the scope note (SN) which is usually used for polysemi-terms. The case of Sinfonie is a significant example of this because of the evolution that the form has undergone over the centuries. This study also illustrates how a general thesaurus could be profitably employed also in a specific domain as well as how the results could be improved if librarians and specialists collaborate.

Food Informatics and its Challenges and Opportunities- A Review

Informatics is an important domain that deals with several kinds of information activities by the manual knowledge organization tools as well as computational tools. Informatics deals with many foci and it also has many domain dependencies. Informatics may also concentrate on other domains and in this way new domains may be created. The integration of Food Science with Informatics provides Food and Nutritional Information solution. Food Informatics may be treated as a practicing field for Organization of Information, Infrastructure building which includes designing and development of Information Systems, Enterprise Resource Planning, Decision Support Systems, Documentation solution with the help of manual tools and computerization systems for the Food and Nutritional facets. Till Food Informatics as a subject not received a wide scale of popularity but yes it has healthy possibilities to become an important interdisciplinary subject. This conceptual paper provides an overview of the possible role, challenges, and issues of the domain.

An Event Relationship Model for Knowledge Organization and Visualization

An event is a specific occurrence involving participants, which is a typed, n-ary association of entities or other events, each identified as a participant in a specific semantic role in the event (Pyysalo et al. 2012; Linguistic Data Consortium 2005). Event types may vary across domains. Representing relationships between events can facilitate the understanding of knowledge in complex systems (such as economic systems, human body, social systems). In the simplest form, an event can be represented as Entity A -Relation- Entity B. This paper evaluates several knowledge organization and visualization models and tools, such as concept maps (Cmap), topic maps (Ontopia), network analysis models (Gephi), and ontology (Protégé), then proposes an event relationship model th at aims to integrate the strengths of these models, and can represent complex knowledge expressed in events and their relationships.

Discussion about the application of topic maps technology on knowledge organization of traditional Chinese medicine with the example of Shanghanlun

Literature of TCM contains abundant information of Chinese medicine. Traditional Chinese medicine information is characterized by its high degree of knowledge-intensive and complex inter-knowledge, so it is difficult to integrate and share knowledge. The Shanghanlun is one of the Chinese medical classics, and it includes the rules and methods of syndrome differentiation and treatment and it showed good effects in the clinical application. However, it is difficult to master for beginners. As a kind of knowledge organization tool, topic maps can flexibly define the relationship between knowledge, which realizes the visualization of knowledge network, and integrates and shares the distributed knowledge. This paper focused on the current situation of topic maps researches. The topic maps was used to organize the original content of Shanghanlun, construct the concept model of it and explore the specific application of topic maps technology in the field of traditional Chinese medicine. Key words: Shang Han Lun; Traditional Chinese medicine and pharmacy; Knowledge organization; Topic maps

Design of Cognitive Tools to Enhance Problem-Solving in Computer Language Programming for High School Students

Programming is a complicated science and includes many skills, and it is also a key part in promoting problem-solving and higher-order thinking skills of students in the 21st century. The purposes of this research are to design and to develop the cognitive tools to enhance the problem-solving skill in computer language programming for high school students. The research study is a developmental research, and the statistic method includes document analyses, surveys and case studies. The participants are experts in content validity, instructional design, media learning design, learning environment, and evaluation. In terms of the research procedure, this study was carried out through 5 steps: a study of the theories and research; a study of the context; a synthesis of theoretical framework of cognitive tools; a synthesis of designing framework of cognitive tools; and an evolution of the efficiency of the cognitive tools designing framework. The data analysis employed an interpretation and conclusion by the researcher. The result revealed that the designing framework consisted of 7 essential elements which were: Problem-Based Tools, Information Seeking Tools, Information Presentation Tools, Knowledge Organization Tools, Knowledge Integration Tools, Knowledge Generation Tools, and Communication Tools. According to the expert review, the designing framework was of efficiency.

UDC Online: A Study

In this paper an attempt has been made to highlight the online services provided by UDC Online database. In the modern techno-savvy era, the traditional library classification scheme 'Universal Decimal Classification' has radically changed its structure and published on Web in 2001 entitled' UDC Online'. It has created new opportunities to classifier for searching the term and class numbers, browsing UDC database, number building facility and advance searches. It is a very user friendly scheme in this era of information technology. It is the most updated version on the web, updated annually. It is concluded that it is a prominent and effective knowledge organization tool to classify universe of subjects and provide the fixed place to every things, documents, and electronic items. The databases have been accessed through trial accounts of their official websites.

Evaluations of a Large Topic Map as a Knowledge Organization Tool for Supporting Self-Regulated Learning

A large topic map was created to facilitate understanding of the impacts of the 2010 Gulf of Mexico Oil Spill Incident. It has a text topic map and a graphical topic map, which complement each other. A formative evaluation and two summative evaluations were conducted, as qualitative studies, to assess the usefulness and usability of the large topic maps as self-regulated learning tools. The topic maps were found useful for knowledge fusion and discovery, and can be useful when undertaking interdisciplinary and multidisciplinary research. Users reported some usability issues about the graphical topic map, including information overload and cluttered display of topics when displaying large number of topics and their associated topics. The text topic map was found easier to use due to displaying topics, relationships and references in a linear view.

Ranganathan’s Contributions to Knowledge Organization and Presentation

Knowledge Organization tools can be used for a variety of purposes including arranging information objects, representation of their aboutness, displaying semantic relations between concepts and even for presentation of ideas in texts. The paper highlights some of the major contributions of Ranganathan to the theory and practice of knowledge organization.

The knowledge organization of DBpedia: a case study

Purpose – This paper investigates the semantic structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Open Data (LOD) landscape. The analysis attempts to shed light on this new type of knowledge organization tool. Design/methodology/approach – The research followed a case study methodology to analyze DBpedia using the domain of jazz as the application scenario. Findings – The study reveals an evolving knowledge organization tool where different descriptive and classification approaches are employed concurrently. The semantic constructs employed in the DBpedia knowledge base vary significantly in terms of their degree of formalization, stability, cohesiveness and consistency. As such, they challenge the tolerance threshold for data quality and the traditional notion of authority control. Research limitations/implications – The analysis is conducted on a limited portion of a large knowledge base. Initial findings provide a basis for further research and study. Practical implications – Revealing the knowledge organization underlying DBpedia increases the understanding of its power, its limitations and its implications for the new semantic context provided by LOD. Having an understanding of the range of entities and properties available enables LOD users to formulate queries with higher precision. Originality/value – This study is the first conducted from the perspective of the knowledge organization community.

Knowledge Organization Tool Catering to Service: Today and Future

Knowledge Organization Tool Catering to Service: Today and Future

Authority Control for Scientific Data: The Case of Molecular Biology

This article analyzes the authority control practices in molecular biology using literature review and scenario analysis and makes a comparison with bibliographic authority control. The analysis indicates the absence of conceptual authority control model in molecular bioinformatics. In addition to traditional knowledge organization tools, authority control in molecular biology requires the use of reference sequences and version numbers to identify entities and keep track of entity changes. The identified authority control issues are conceptualized as quality problems caused by four sources. This study can inform librarians and educators of the need for and approaches to authority control in molecular biology.

OntoPhoto and the Role of Ontology in Organizing Knowledge

This article is concerned with ontology and its applications in Knowledge Organization (KO) activities. Connec- tions are drawn between efforts in artificial intelligence (AI) to capture the meaning of information and make it accessible to machines and the efforts made in libraries to use KO tools in machine-based record building and search and retrieval systems. The practices used in AI that are of interest here include ontology and ontology-based knowledge representation. In this article their applications in KO are directed towards a particularly problematic document type—the photograph. There are two argu- ments motivating this article. First, ontology-based KO systems that join AI techniques with library cataloging practices make it possible to utilize higher levels of expressivity when describing photographs. Second, KO systems for photographs that are capable of reasoning over concepts and relationships can potentially provide richer, more relevant search results than systems utilizing word-matching alone.

Social Tagging as a Knowledge Organization and Resource Discovery Tool

  The purpose of this paper is to give an overview of the social tagging phenomenon, including how it evolved and the debate surrounding its benefits and limitations. Further, social tagging's potential as a new tool for knowledge organization and resources discovery will be considered. Finally, some questions concerning social tagging will be presented for future research. The paper reflects an interdisciplinary overview of the technical aspect of social tagging along with a behavioural look at why and how it is used as a tool to discover and organize knowledge.