Principles for the Development of Domain Conceptual Models for Knowledge Organization Systems: An Analysis of Methodologies for Developing Learning Paths in the Field of Corporate Education

2020 ◽  
Vol 47 (7) ◽  
pp. 592-603
Author(s):  
Gercina Ângela de Lima ◽  
Maria Luiza de Almeida Campos ◽  
Patrícia Lopes Ferreira França
Keyword(s):  
Information Science ◽  
Conceptual Models ◽  
Specific Model ◽  
Knowledge Organization ◽  
Knowledge Modeling ◽  
Corporate Education ◽  
Knowledge Organization Systems ◽  
Learning Paths ◽  
Methodological Principles ◽  
Concept Systems

This article presents a set of principles for knowledge modeling in knowledge organization systems in specific domains. It discusses the representational problem, comparing the abstraction mechanisms present in the theories related to representation in concept systems, taken from foundational authors of information science, computer science, and terminology approaches. Parallel to this context, several representational possibilities arise to assist the modeler in the activity of elaborating models of representation. It describes the application of theoretical and methodological principles when organizing, representing, and managing navigation on learning paths in the corporate education field. As a concept proof, it exposes a conceptual model of learning paths and discusses a literature review on this subject to verify to what extent these principles are being applied. It concludes that we can consider the principles discussed in this study as relevant, since they expand the modelers’ freedom, not making him hostage to a specific model.

scholarly journals theoretical investigation about the notion of parts and wholes

2014 ◽  
Vol 8 (1/2) ◽  
Author(s):  
Mauricio Barcellos ALMEIDA ◽  
Renata Abrantes BARACHO
Keyword(s):  
Information Retrieval ◽  
Theoretical Investigation ◽  
Information Science ◽  
Knowledge Organization ◽  
Semantic Relations ◽  
Philosophical Study ◽  
Knowledge Organization Systems ◽  
Science Community ◽  
Issue Knowledge ◽  
The Relationship

Within the realm of Information Science, information retrieval is a seminal issue. Knowledge organization systems are instruments that organize knowledge by connecting concepts through semantic relations for purposes of information retrieval. One of the most important of these semantic relations is the so-called part-whole relation. In this paper, we revisit some peculiarities of part-whole relations that are often overlooked by the Information Science community. In order to do this, we provide a theoretical investigation of two perspectives used to explain the notion of parts and wholes: a formal perspective, which is based on the philosophical study usually called mereology; a non-formal perspective, which is based on the linguistic study about a relation called meronym. We discuss the relationship between these perspectives through the issue of transitivity, which is an important property of part-whole relations for information retrieval. We find that these perspectives, although distinguished, are somehow complementary. The results of our analysis suggest that the choice for either a formal or a non-formal perspective could be based on a pragmatic criterion in the scope of development of knowledge organization systems. We conclude by offering some considerations correlating two main sorts of these systems, namely ontologies and thesauri.

scholarly journals An evaluation of enhancing social tagging with a knowledge organization system

2010 ◽  
Vol 62 (4/5) ◽  
pp. 447-465 ◽  
Author(s):  
Brian Matthews ◽  
Catherine Jones ◽  
Bartłomiej Puzoń ◽  
Jim Moon ◽  
Douglas Tudhope ◽  
...  
Keyword(s):  
Information Science ◽  
Knowledge Organization ◽  
Social Tagging ◽  
Control Vocabulary ◽  
Information Discovery ◽  
Digital Collections ◽  
Content Type ◽  
Knowledge Organization Systems ◽  
Knowledge Organization System ◽  
Subject Indexing

PurposeTraditional subject indexing and classification are considered infeasible in many digital collections. This paper seeks to investigate ways of enhancing social tagging via knowledge organization systems, with a view to improving the quality of tags for increased information discovery and retrieval performance.Design/methodology/approachEnhanced tagging interfaces were developed for exemplar online repositories, and trials were undertaken with author and reader groups to evaluate the effectiveness of tagging augmented with control vocabulary for subject indexing of papers in online repositories.FindingsThe results showed that using a knowledge organisation system to augment tagging does appear to increase the effectiveness of non‐specialist users (that is, without information science training) in subject indexing.Research limitations/implicationsWhile limited by the size and scope of the trials undertaken, these results do point to the usefulness of a mixed approach in supporting the subject indexing of online resources.Originality/valueThe value of this work is as a guide to future developments in the practical support for resource indexing in online repositories.

scholarly journals Work

2019 ◽  
Vol 46 (4) ◽  
pp. 308-319
Author(s):  
Richard P. Smiraglia
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Intellectual Content ◽  
Large Sets ◽  
Knowledge Organization Systems ◽  
Entity Relationship ◽  
Mental Constructs ◽  
Over Time

A work is a deliberately created informing entity intended for communication. A work consists of abstract intellectual content that is distinct from any object that is its carrier. In library and information science, the importance of the work lies squarely with the problem of information retrieval. Works are mentefacts-intellectual (or mental) constructs that serve as artifacts of the cultures in which they arise. The meaning of a work is abstract at every level, from its creator’s conception of it, to its reception and inherence by its consumers. Works are a kind of informing object and are subject to the phenomenon of instantiation, or realization over time. Research has indicated a base typology of instantiation. The problem for information retrieval is to simultaneously collocate and disambiguate large sets of instantiations. Cataloging and bibliographc tradition stipulate an alphabetico-classed arrangement of works based on an authorship principle. FRBR provided an entity-relationship schema for enhanced control of works in future catalogs, which has been incorporated into RDA. FRBRoo provides an empirically more precise model of work entities as informing objects and a schema for their representation in knowledge organization systems.

Knowledge Organization Systems in Canadian Digital Library Collections

2013 ◽  
Author(s):  
Ali Shiri
Keyword(s):  
Digital Library ◽  
Information Search ◽  
Knowledge Organization ◽  
Digital Collections ◽  
Search Behaviour ◽  
Knowledge Organization Systems ◽  
Knowledge Organization System ◽  
Use Of Knowledge ◽  
Library Collections

The paper reports on a study of the ways in which Canadian digital library collections make use of knowledge organization systems to support users’ information search behaviour. The study identified 33 digital collections which have employed some type of knowledge organization system in their search interfaces.Cet article présente les résultats d’une étude sur la manière dont les systèmes d’organisation des connaissances sont utilisés par les collections des bibliothèques numériques canadiennes, afin d’assister le comportement de recherche informationnelle des utilisateurs. Cette étude a identifiée 33 collections numériques qui ont employé certains types de systèmes d’organisation des connaissances dans leurs interfaces de recherche. 

scholarly journals Ontologies in Knowledge Organization

Encyclopedia ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 144-151
Author(s):  
Luís Miguel Oliveira Machado
Keyword(s):  
Knowledge Organization ◽  
The Other ◽  
Conceptual Systems ◽  
Other Hand ◽  
Knowledge Organization Systems ◽  
Ontological Analysis ◽  
The One

Within the knowledge organization systems (KOS) set, the term “ontology” is paradigmatic of the terminological ambiguity in different typologies. Contributing to this situation is the indiscriminate association of the term “ontology”, both as a specific type of KOS and as a process of categorization, due to the interdisciplinary use of the term with different meanings. We present a systematization of the perspectives of different authors of ontologies, as representational artifacts, seeking to contribute to terminological clarification. Focusing the analysis on the intention, semantics and modulation of ontologies, it was possible to notice two broad perspectives regarding ontologies as artifacts that coexist in the knowledge organization systems spectrum. We have ontologies viewed, on the one hand, as an evolution in terms of complexity of traditional conceptual systems, and on the other hand, as a system that organizes ontological rather than epistemological knowledge. The focus of ontological analysis is the item to model and not the intentions that motivate the construction of the system.

scholarly journals ThManager: An Open Source Tool for Creating and Visualizing SKOS

2007 ◽  
Vol 26 (3) ◽  
pp. 39 ◽  
Author(s):  
Javier Lacasta ◽  
Javier Nogueras-Iso ◽  
Francisco Javier López-Pellicer ◽  
Pedro Rafail Muro-Medrano ◽  
Francisco Javier Zarazaga-Soria
Keyword(s):  
Information Retrieval ◽  
Open Source ◽  
Data Sharing ◽  
Digital Libraries ◽  
Knowledge Organization ◽  
Open Source Tool ◽  
Knowledge Models ◽  
Knowledge Organization Systems ◽  
Interchange Format

Knowledge organization systems denotes formally represented knowledge that is used within the context of digital libraries to improve data sharing and information retrieval. To increase their use, and to reuse them when possible, it is vital to manage them adequately and to provide them in a standard interchange format. Simple knowledge organization systems (SKOS) seem to be the most promising representation for the type of knowledge models used in digital libraries, but there is a lack of tools that are able to properly manage it. This work presents a tool that fills this gap, facilitating their use in different environments and using SKOS as an interchange format.

scholarly journals Knowledge Organization and Representation under the AI Lens

2020 ◽  
Vol 5 (1) ◽  
pp. 3-17
Author(s):  
Jian Qin
Keyword(s):  
Linked Data ◽  
Information Science ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Proof Of Concept ◽  
Primary Method ◽  
Methods And Techniques ◽  
Preliminary Research ◽  
Practical Implications

AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differences between KO and KR are discussed based on the goal, methods, and functions.Research limitationsThis is only a preliminary research with a case study as proof of concept.Practical implicationsThe paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.

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