The Large Aperture Optical Elements patent search system based on Domain Knowledge Organization System

Purpose 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). Design/methodology/approach 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. Findings 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. Practical implications 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. Social implications The model enables explicit representation of social and cultural minority voices and historical knowledge in the KOS. Originality/value 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.

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A Systematic Approach to Engineering Knowledge Organization and Modeling

Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2012-71189 ◽

2012 ◽

Cited By ~ 1

Author(s):

Farhad Ameri ◽

Colin Urbanovsky ◽

Christian McArthur

Keyword(s):

Domain Knowledge ◽

Ad Hoc ◽

Controlled Vocabulary ◽

Knowledge Organization ◽

Knowledge Capture ◽

Simple Knowledge Organization System ◽

Knowledge Organization System ◽

Systematic Methodology ◽

Core Concepts ◽

Representation Techniques

Capturing engineering domain knowledge is a challenging problem due to several factors such as the complexity of the knowledge as well as the multiplicity of the representation techniques with varying underlying syntax and semantics. The existing approaches for knowledge capture and organization in engineering are typically ad hoc in nature, which inhibit efficient knowledge sharing and deployment. The objective of this paper is to introduce a systematic methodology for knowledge capture, organization, and modeling in the manufacturing domain. The proposed methodology focuses on the conceptualization phase and utilizes Simple Knowledge Organization System (SKOS) early in the process for creating a controlled vocabulary, or thesaurus, in the domain of interest. The resulting SKOS-based thesaurus is a lightweight ontology that helps identify the core concepts that will be translated into formal classes in an axiomatic ontology such as MSDL. The proposed methodology is discussed with the aid of examples from metal casting domain. Also, use of Semantic Web Rule Language (SWRL) for representation of constraint knowledge is discussed in this paper.

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Knowledge Organization Systems in Canadian Digital Library Collections

Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI ◽

10.29173/cais189 ◽

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.

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Ontological Conceptualization Based on the SKOS

Journal of Computing and Information Science in Engineering ◽

10.1115/1.4027582 ◽

2014 ◽

Vol 14 (3) ◽

Cited By ~ 6

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.

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

Journal of Documentation ◽

10.1108/jd-01-2021-0006 ◽

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).

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

Journal of Documentation ◽

10.1108/jd-10-2020-0167 ◽

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.

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Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

Dynamic Models for Knowledge-Driven Organizations ◽

10.4018/978-1-4666-2485-6.ch015 ◽

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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