Search (20 results, page 1 of 1)

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Abstract

This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

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Abstract

This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.

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Abstract

Terminology registries (TRs) are a crucial element of the infrastructure required for resource discovery services, digital libraries, Linked Data, and semantic interoperability generally. They can make the content of knowledge organization systems (KOS) available both for human and machine access. The paper describes the attributes and functionality for a TR, based on a review of published literature, existing TRs, and a survey of experts. A domain model based on user tasks is constructed and a set of core metadata elements for use in TRs is proposed. Ideally, the TR should allow searching as well as browsing for a KOS, matching a user's search while also providing information about existing terminology services, accessible to both humans and machines. The issues surrounding metadata for KOS are also discussed, together with the rationale for different aspects and the importance of a core set of KOS metadata for future machine-based access; a possible core set of metadata elements is proposed. This is dealt with in terms of practical experience and in relation to the Dublin Core Application Profile.

Date

22. 8.2014 17:12:54

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Abstract

"Explore" is a user task introduced in the Functional Requirements for Subject Authority Data (FRSAD) final report. Through various case scenarios, the authors discuss how structured data, presented based on Linked Data principles and using knowledge organisation systems (KOS) as the backbone, extend the explore task within and beyond subject authority data.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

Purpose - The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures. Design/methodology/approach - In the proposed similarity measure, nodes on two hierarchical structures are projected onto a two-dimensional space, respectively, and both structural similarity and subject similarity of nodes are considered in the similarity between the two hierarchical structures. The extent to which the structural similarity impacts on the similarity can be controlled by adjusting a parameter. An experiment was conducted to evaluate soundness of the measure. Eight experts whose research interests were information retrieval and information organization participated in the study. Results from the new measure were compared with results from the experts. Findings - The evaluation shows strong correlations between the results from the new method and the results from the experts. It suggests that the similarity method achieved satisfactory results. Practical implications - Hierarchical structures that are found in subject directories, taxonomies, classification systems, and other classificatory structures play an extremely important role in information organization and information representation. Measuring the similarity between two subject hierarchical structures allows an accurate overarching understanding of the degree to which the two hierarchical structures are similar. Originality/value - Both structural similarity and subject similarity of nodes were considered in the proposed similarity method, and the extent to which the structural similarity impacts on the similarity can be adjusted. In addition, a new evaluation method for a hierarchical structure similarity was presented.

Date

8. 4.2015 16:22:13

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Abstract

Knowledge organization systems (KOS) can be described based on their structures (from flat to multidimensional) and main functions. The latter include eliminating ambiguity, controlling synonyms or equivalents, establishing explicit semantic relationships such as hierarchical and associative relationships, and presenting both relationships and properties of concepts in the knowledge models. Examples of KOS include lists, authority files, gazetteers, synonym rings, taxonomies and classification schemes, thesauri, and ontologies. These systems model the underlying semantic structure of a domain and provide semantics, navigation, and translation through labels, definitions, typing, relationships, and properties for concepts. The term knowledge organization systems (KOS) is intended to encompass all types of schemes for organizing information and promoting knowledge management, such as classification schemes, gazetteers, lexical databases, taxonomies, thesauri, and ontologies (Hodge 2000). These systems model the underlying semantic structure of a domain and provide semantics, navigation, and translation through labels, definitions, typing, relationships, and properties for concepts (Hill et al. 2002, Koch and Tudhope 2004). Embodied as (Web) services, they facilitate resource discovery and retrieval by acting as semantic road maps, thereby making possible a common orientation for indexers and future users, either human or machine (Koch and Tudhope 2003, 2004).

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Abstract

Representing classification systems on the web for publication and exchange continues to be a challenge within the SKOS framework. This paper focuses on the differences between classification schemes and other families of KOS (knowledge organization systems) that make it difficult to express classifications without sacrificing a large amount of their semantic richness. Issues resulting from the specific set of relationships between classes and topics that defines the basic nature of any classification system are discussed. Where possible, different solutions within the frameworks of SKOS and OWL are proposed and examined.

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Abstract

This report analyzes the methodologies used in establishing interoperability among knowledge organization systems (KOS) such as controlled vocabularies and classification schemes that present the organized interpretation of knowledge structures. The development and trends of KOS are discussed with reference to the online era and the Internet era. Selected current projects and activities addressing KOS interoperability issues are reviewed in terms of the languages and structures involved. The methodological analysis encompasses both conventional and new methods that have proven to be widely accepted, including derivation/modeling, translation/adaptation, satellite and leaf node linking, direct mapping, co-occurrence mapping, switching, linking through a temporary union list, and linking through a thesaurus server protocol. Methods used in link storage and management, as weIl as common issues regarding mapping and methodological options, are also presented. It is concluded that interoperability of KOS is an unavoidable issue and process in today's networked environment. There have been and will be many multilingual products and services, with many involving various structured systems. Results from recent efforts are encouraging.

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Abstract

A problem facing information retrieval and exchange among international medical practitioners and researchers is the lack of a knowledge structure or conceptual framework that relates concepts used in the Western medical system to those used in non-Western medical systems. This paper presents challenges we have encountered in attempting to develop a general conceptual framework to cover concepts and terminology used for information retrieval in the field of complementary and alternative medicine. This is a broad field that has not been covered appropriately in knowledge organization systems such as classification schemes, thesauri, and terminology databases. The objective of the project is to improve significantly the efficiency and the quality of cross-language and cross-cultural information exchange and knowledge discovery by facilitating concept mapping and information retrieval between Western and Eastern medical traditions. Major facets of the conceptual framework include Diagnostic Categories, Therapeutic Preparations, Human Anatomy, Selected Diseases/Medical Conditions, and Basics of Traditional Systems. The paper discusses issues of subject coverage, the representation of medical concepts in the conceptual framework, incorporation of concept names that have existed in individual traditional systems, and the relationships among concepts. Findings reported are primarily from current work that focuses on Traditional Chinese Medicine.

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Abstract

The Functional Requirements for Subject Authority Data (FRSAD) conceptual model identifies entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as a subject of a work) and nomen (any sign or sequence of signs that a thema is known by, referred to, or addressed as). In a given controlled vocabulary and within a domain, a nomen is the appellation of only one thema. The authors consider the question, can the FRSAD conceptual model be extended beyond controlled vocabularies (its original focus) to model classification data? Models that are developed based on the structures and functions of controlled vocabularies (such as thesauri and subject heading systems) often need to be adjusted or extended to accommodate classification systems that have been developed with different focused functions, structures and fundamental theories. The Dewey Decimal Classification (DDC) system is used as a case study to test applicability of the FRSAD model for classification data, and as a springboard for a general discussion of issues related to the use of FRSAD for the representation of classification data.

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Abstract

The Functional Requirements for Subject Authority Data (FRSAD) conceptual model identifies entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as a subject of a work) and nomen (any sign or sequence of signs that a thema is known by, referred to, or addressed as). In a given controlled vocabulary and within a domain, a nomen is the appellation of only one thema. The authors consider the question, can the FRSAD conceptual model be extended beyond controlled vocabularies (its original focus) to model classification data? Models that are developed based on the structures and functions of controlled vocabularies (such as thesauri and subject heading systems) often need to be adjusted or extended to accommodate classification systems that have been developed with different focused functions, structures and fundamental theories. The Dewey Decimal Classification (DDC) system is used as a case study to test applicability of the FRSAD model for classification data, and as a springboard for a general discussion of issues related to the use of FRSAD for the representation of classification data.

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Abstract

The Functional Requirements for Subject Authority Data (FRSAD) conceptual model defines entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as the subject of a work) and nomen (any sign or arrangement of signs that a thema is known by, referred to, or addressed as). In a given controlled vocabulary and within a domain, a nomen is the appellation of only one thema. The authors consider the question: can the FRSAD conceptual model be extended beyond controlled vocabularies (its original focus) to model classification data? Models that are developed based on the structures and functions of controlled vocabularies (such as thesauri and subject heading systems) often need to be adjusted or extended to accommodate classification systems that have been developed with different focused functions, structures and fundamental theories. The Dewey Decimal Classification (DDC) system and Universal Decimal Classification (UDC) are used as a case study to test applicability of the FRSAD model for classification data and the applicability of the Functional Requirements for Bibliographic Records (FRBR) for modelling versions, such as different adaptations and different language editions.

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Abstract

In remembrance of Magda Heiner-Freiling who dedicated her professional efforts in promoting the sharing of subject access among world libraries, we sincerely wish to add our contribution to the endeavor she started and dreamed of finishing by writing this paper in Chinese, introducing SKOS and discussing its applications in transferring the largest controlled vocabulary in China, the Chinese Classified Thesaurus (CCT), into a SKOS-based knowledge organization system (KOS). The paper discusses the conceptual models of concept-based and term-based systems, the converting solutions of CCT, and the potential usage of a KOS registry built on SKOS and other Web-based protocols and technologies.

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Abstract

This article presents the history, contents, structures, functions, and applications of the International Classification of Diseases (ICD), which is a global standard maintained by the World Health Organization (WHO). The article aims to present ICD from the knowledge organization perspective and focuses on the current versions, ICD-10 and ICD-11. It also introduces the relationship between ICD and other health knowledge organization systems (KOSs), plus efforts in research and development reported in health informatics. The article concludes that the high-level effort of promoting a unified classification system such as ICD is critical in providing a common language for systematic recording, reporting, analysis, interpretation, and comparison of mortality and morbidity data. It greatly enhances the constancy of coding across languages, cultures, and healthcare systems around the world.

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Source

Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M

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Abstract

Interoperability refers to the ability of two or more systems or components to exchange information and to use the information that has been exchanged. This article presents the major viewpoints of interoperability, with the focus on semantic interoperability. It discusses the approaches to achieving interoperability as demonstrated in standards and best practices, projects, and products in the broad domain of knowledge organization.

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.

Source

Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

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Abstract

The paper presents the approach of using the Functional Requirements for Bibliographic Records (FRBR) model to investigate the complicated sets of relationships among different versions of a classification system for the purposes of specifying provenance of classification data and facilitating collaborative efforts for using and reusing classification data, particularly in a linked data setting. The long-term goal of this research goes beyond the Dewey Decimal Classification that is used as a case. It addresses the questions of if and how the modelling approach and the FRBR-based model itself can be generalized and applied to other classification systems, multilingual and multicultural vocabularies, and even non-KOS resources that share similar characteristics.

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Date

28.10.2013 17:22:17