Extended Abstract: Study on the Design for Consumer Health Knowledge Organization System in China

2014 ◽  
pp. 127-129
Author(s):  
Hou Li
Keyword(s):  
Health Knowledge ◽  
Knowledge Organization ◽  
Consumer Health ◽  
Knowledge Organization System

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. 

Ontological Conceptualization Based on the SKOS

2014 ◽  
Vol 14 (3) ◽  
Author(s):  
Farhad Ameri ◽  
Boonserm Kulvatunyou ◽  
Nenad Ivezic ◽  
Khosrow Kaikhah
Keyword(s):  
Domain Ontology ◽  
Knowledge Organization ◽  
Ontology Development ◽  
Stepping Stone ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
Representation Formalism

Ontological conceptualization refers to the process of creating an abstract view of the domain of interest through a set of interconnected concepts. In this paper, a thesaurus-based methodology is proposed for systematic ontological conceptualization in the manufacturing domain. The methodology has three main phases, namely, thesaurus development, thesaurus evaluation, and thesaurus conversion and it uses simple knowledge organization system (SKOS) as the thesaurus representation formalism. The concept-based nature of a SKOS thesaurus makes it suitable for identifying important concepts in the domain. To that end, novel thesaurus evaluation and thesaurus conversion metrics that exploit this characteristic are presented. The ontology conceptualization methodology is demonstrated through the development of a manufacturing thesaurus, referred to as ManuTerms. The concepts in ManuTerms can be converted into ontological classes. The whole conceptualization process is the stepping stone to developing more axiomatic ontologies. Although the proposed methodology is developed in the context of manufacturing ontology development, the underlying methods, tools, and metrics can be applied to development of any domain ontology. The developed thesaurus can serve as a standalone lightweight ontology and its concepts can be reused by other ontologies or thesauri.

scholarly journals Reconciliation of patient/doctor vocabulary in a structured resource

2018 ◽  
Vol 25 (4) ◽  
pp. 1219-1231
Author(s):  
Mike Donald Tapi Nzali ◽  
Jérôme Aze ◽  
Sandra Bringay ◽  
Christian Lavergne ◽  
Caroline Mollevi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Health Care ◽  
Social Media ◽  
Health Care Professionals ◽  
Consumer Health ◽  
Simple Knowledge Organization System ◽  
Cancer Field ◽  
Knowledge Organization System ◽  
Statistical Approaches ◽  
Institut National Du Cancer

Today, social media is increasingly used by patients to openly discuss their health. Mining automatically such data is a challenging task because of the non-structured nature of the text and the use of many abbreviations and the slang terms. Our goal is to use Patient Authored Text to build a French Consumer Health Vocabulary on breast cancer field, by collecting various kinds of non-experts’ expressions that are related to their diseases and then compare them to biomedical terms used by health care professionals. We combine several methods of the literature based on linguistic and statistical approaches to extract candidate terms used by non-experts and to link them to expert terms. We use messages extracted from the forum on ‘ cancerdusein.org ’ and a vocabulary dedicated to breast cancer elaborated by the Institut National Du Cancer. We have built an efficient vocabulary composed of 192 validated relationships and formalized in Simple Knowledge Organization System ontology.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcin Roszkowski ◽  
Bartłomiej Włodarczyk
Keyword(s):  
Social Organization ◽  
Social Representations ◽  
Methodological Approach ◽  
Knowledge Organization ◽  
English Edition ◽  
Content Type ◽  
Conceptual Structures ◽  
The Social ◽  
Knowledge Organization System ◽  
Quantitative Analyses

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).

Migrating a complex classification scheme to the semantic web: expressing the Integrative Levels Classification using SKOS RDF

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ceri Binding ◽  
Claudio Gnoli ◽  
Douglas Tudhope
Keyword(s):  
Knowledge Organization ◽  
Content Type ◽  
Classification Schemes ◽  
Facet Structure ◽  
Simple Knowledge Organization System ◽  
Trade Offs ◽  
Knowledge Organization System ◽  
Faceted Classification ◽  
Integrative Levels ◽  
Query Patterns

PurposeThe Integrative Levels Classification (ILC) is a comprehensive “freely faceted” knowledge organization system not previously expressed as SKOS (Simple Knowledge Organization System). This paper reports and reflects on work converting the ILC to SKOS representation.Design/methodology/approachThe design of the ILC representation and the various steps in the conversion to SKOS are described and located within the context of previous work considering the representation of complex classification schemes in SKOS. Various issues and trade-offs emerging from the conversion are discussed. The conversion implementation employed the STELETO transformation tool.FindingsThe ILC conversion captures some of the ILC facet structure by a limited extension beyond the SKOS standard. SPARQL examples illustrate how this extension could be used to create faceted, compound descriptors when indexing or cataloguing. Basic query patterns are provided that might underpin search systems. Possible routes for reducing complexity are discussed.Originality/valueComplex classification schemes, such as the ILC, have features which are not straight forward to represent in SKOS and which extend beyond the functionality of the SKOS standard. The ILC's facet indicators are modelled as rdf:Property sub-hierarchies that accompany the SKOS RDF statements. The ILC's top-level fundamental facet relationships are modelled by extensions of the associative relationship – specialised sub-properties of skos:related. An approach for representing faceted compound descriptions in ILC and other faceted classification schemes is proposed.

Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

2013 ◽  
pp. 254-267
Author(s):  
Ioannis Papadakis ◽  
Konstantinos Kyprianos
Keyword(s):  
Information Retrieval ◽  
Digital Library ◽  
Controlled Vocabulary ◽  
Knowledge Organization ◽  
Proof Of Concept ◽  
Controlled Vocabularies ◽  
Common Structure ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
The World

One of the most important tasks of a librarian is the assignment of appropriate subject(s) to a resource within a library’s collection. The subjects usually belong to a controlled vocabulary that is specifically designed for such a task. The most widely adopted controlled vocabulary across libraries around the world is the Library of Congress Subject Headings (LCSH). However, there seems to be a shifting from traditional LCSH to modern thesauri. In this paper, a methodology is proposed, capable of incorporating thesauri into existing LCSH-based Information Retrieval–IR systems. In order to achieve this, a mapping methodology is proposed capable of providing a common structure consisting of terms belonging to LCSH and/or a thesaurus. The structure is modeled as a Simple Knowledge Organization System (SKOS) ontology, which can be employed by appropriate subject-based IR systems. As a proof of concept, the proposed methodology is applied to the DSpace-based University of Piraeus digital library.

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