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1Peponakis, M. ; Mastora, A. ; Kapidakis, S. ; Doerr, M.: Expressiveness and machine processability of Knowledge Organization Systems (KOS) : an analysis of concepts and relations.
In: International journal on digital libraries. 20(2020) no.4, S.433-452.
Abstract: This study considers the expressiveness (that is the expressive power or expressivity) of different types of Knowledge Organization Systems (KOS) and discusses its potential to be machine-processable in the context of the Semantic Web. For this purpose, the theoretical foundations of KOS are reviewed based on conceptualizations introduced by the Functional Requirements for Subject Authority Data (FRSAD) and the Simple Knowledge Organization System (SKOS); natural language processing techniques are also implemented. Applying a comparative analysis, the dataset comprises a thesaurus (Eurovoc), a subject headings system (LCSH) and a classification scheme (DDC). These are compared with an ontology (CIDOC-CRM) by focusing on how they define and handle concepts and relations. It was observed that LCSH and DDC focus on the formalism of character strings (nomens) rather than on the modelling of semantics; their definition of what constitutes a concept is quite fuzzy, and they comprise a large number of complex concepts. By contrast, thesauri have a coherent definition of what constitutes a concept, and apply a systematic approach to the modelling of relations. Ontologies explicitly define diverse types of relations, and are by their nature machine-processable. The paper concludes that the potential of both the expressiveness and machine processability of each KOS is extensively regulated by its structural rules. It is harder to represent subject headings and classification schemes as semantic networks with nodes and arcs, while thesauri are more suitable for such a representation. In addition, a paradigm shift is revealed which focuses on the modelling of relations between concepts, rather than the concepts themselves.
Inhalt: Vgl.: https://doi.org/10.1007/s00799-019-00269-0. Vgl. auch: https://www.researchgate.net/publication/339873131_Expressiveness_and_machine_processability_of_Knowledge_Organization_Systems_KOS_An_analysis_of_concepts_and_relations.
Themenfeld: Semantische Interoperabilität ; Wissensrepräsentation
Objekt: FRSAD ; SKOS ; DDC ; CIDOC-CRM ; LCSH ; Eurovoc
2Sitas, A. ; Kapidakis, S.: Duplicate detection algorithms of bibliographic descriptions.
In: Library hi tech. 26(2008) no.2, S.287-301.
Abstract: Purpose - The purpose of this paper is to focus on duplicate record detection algorithms used for detection in bibliographic databases. Design/methodology/approach - Individual algorithms, their application process for duplicate detection and their results are described based on available literature (published articles), information found at various library web sites and follow-up e-mail communications. Findings - Algorithms are categorized according to their application as a process of a single step or two consecutive steps. The results of deletion, merging, and temporary and virtual consolidation of duplicate records are studied. Originality/value - The paper presents an overview of the duplication detection algorithms and an up-to-date state of their application in different library systems.