Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
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
2Dudek, D. ; Mastora, A. ; Landoni, M.: Is Google the answer? : a study into usability of search engines.
In: Library review. 56(2007) no.3, S.194-196.
Abstract: Purpose - The purpose of this paper is to discuss the importance of usability and overall user satisfaction when comparing performance of different search engines. Design/methodology/approach - The study described in this paper starts from an investigation of existing methodologies for evaluating search engines in order to find out what are the most important factors for users to decide which system to use when searching the World Wide Web. Findings - This study confirmed that usability and popularity are closely linked. This study has shown that no one-search engine holds the key to ultimate search results. Just as there is cultural, political and geographical differences in the world's population, there are a number of search engines to fit the individual needs of every net citizen. Whereas results, precision, recall and reliability are the factors which participants prize highly, regardless of all other aspects. It was found that the speed of search engine results has become a high priority to participants. Research limitations/implications - Number of participants was limited and although some questions were confusing to some individuals, a majority of questionnaires were completed in a satisfactory fashion. Originality/value - This paper describes a usability study involving different search engines looking at links between popularity and usability.