Search (11 results, page 1 of 1)

Salaba, A.; Zeng, M.L.: Extending the "Explore" user task beyond subject authority data into the linked data sphere (2014) 0.01

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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
Theme: Semantisches Umfeld in Indexierung u. Retrieval

Zeng, M.L.; Gracy, K.F.; Zumer, M.: Using a semantic analysis tool to generate subject access points : a study using Panofsky's theory and two research samples (2014) 0.01

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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
Theme: Semantisches Umfeld in Indexierung u. Retrieval

Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014) 0.00
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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
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.00
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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.
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.00
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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.

Golub, K.; Tudhope, D.; Zeng, M.L.; Zumer, M.: Terminology registries for knowledge organization systems : functionality, use, and attributes (2014) 0.00

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Date: 22. 8.2014 17:12:54

Gracy, K.F.; Zeng, M.L.; Skirvin, L.: Exploring methods to improve access to Music resources by aligning library Data with Linked Data : a report of methodologies and preliminary findings (2013) 0.00

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Date: 28.10.2013 17:22:17

Zumer, M.; Zeng, M.L.; Mitchell, J.S.: FRBRizing KOS relationships : applying the FRBR model to versions of the DDC (2012) 0.00
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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.
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modeling DDC with FRSAD (2011) 0.00
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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.
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modelling DDC with FRSAD (2011) 0.00
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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.
Zumer, M.; Zeng, M.L.: Application of FRBR and FRSAD to classification systems (2015) 0.00
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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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