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  • × author_ss:"Zapilko, B."
  • × theme_ss:"Semantische Interoperabilität"
  1. Mayr, P.; Zapilko, B.; Sure, Y.: ¬Ein Mehr-Thesauri-Szenario auf Basis von SKOS und Crosskonkordanzen (2010) 0.02 
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    Abstract
    Im August 2009 wurde SKOS "Simple Knowledge Organization System" als neuer Standard für web-basierte kontrollierte Vokabulare durch das W3C veröffentlicht1. SKOS dient als Datenmodell, um kontrollierte Vokabulare über das Web anzubieten sowie technisch und semantisch interoperabel zu machen. Perspektivisch kann die heterogene Landschaft der Erschließungsvokabulare über SKOS vereinheitlicht und vor allem die Inhalte der klassischen Datenbanken (Bereich Fachinformation) für Anwendungen des Semantic Web, beispielsweise als Linked Open Data2 (LOD), zugänglich und stär-ker miteinander vernetzt werden. Vokabulare im SKOS-Format können dabei eine relevante Funktion einnehmen, indem sie als standardisiertes Brückenvokabular dienen und semantische Verlinkung zwischen erschlossenen, veröffentlichten Daten herstellen. Die folgende Fallstudie skizziert ein Szenario mit drei thematisch verwandten Thesauri, die ins SKOS-Format übertragen und inhaltlich über Crosskonkordanzen aus dem Projekt KoMoHe verbunden werden. Die Mapping Properties von SKOS bieten dazu standardisierte Relationen, die denen der Crosskonkordanzen entsprechen. Die beteiligten Thesauri der Fallstudie sind a) TheSoz (Thesaurus Sozialwissenschaften, GESIS), b) STW (Standard-Thesaurus Wirtschaft, ZBW) und c) IBLK-Thesaurus (SWP).
    Footnote
    Beitrag für: 25. Oberhofer Kolloquium 2010: Recherche im Google-Zeitalter - Vollständig und präzise!?.
  2. Kempf, A.O.; Zapilko, B.: Normdatenpflege in Zeiten der Automatisierung : Erstellung und Evaluation automatisch aufgebauter Thesaurus-Crosskonkordanzen (2013) 0.01 
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    Abstract
    Thesaurus-Crosskonkordanzen bilden eine wichtige Voraussetzung für die integrierte Suche in einer verteilten Datenstruktur. Ihr Aufbau erfordert allerdings erhebliche personelle Ressourcen. Der vorliegende Beitrag liefert Evaluationsergebnisse des Library Track 2012 der Ontology Alignment Evaluation Initiative (OAEI), in dem Crosskonkordanzen zwischen dem Thesaurus Sozialwissenschaften (TheSoz) und dem Standard Thesaurus Wirtschaft (STW) erstmals automatisch erstellt wurden. Die Evaluation weist auf deutliche Unterschiede in den getesteten Matching- Tools hin und stellt die qualitativen Unterschiede einer automatisch im Vergleich zu einer intellektuell erstellten Crosskonkordanz heraus. Die Ergebnisse sprechen für einen Einsatz automatisch generierter Thesaurus-Crosskonkordanzen, um Domänenexperten eine maschinell erzeugte Vorselektion von möglichen Äquivalenzrelationen anzubieten.
    Date
    18. 8.2013 12:53:22
    Source
    Information - Wissenschaft und Praxis. 64(2013) H.4, S.199-208
  3. Stempfhuber, M.; Zapilko, B.: Modelling text-fact-integration in digital libraries (2009) 0.00 
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    Abstract
    Digital Libraries currently face the challenge of integrating many different types of research information (e.g. publications, primary data, expert's profiles, institutional profiles, project information etc.) according to their scientific users' needs. To date no general, integrated model for knowledge organization and retrieval in Digital Libraries exists. This causes the problem of structural and semantic heterogeneity due to the wide range of metadata standards, indexing vocabularies and indexing approaches used for different types of information. The research presented in this paper focuses on areas in which activities are being undertaken in the field of Digital Libraries in order to treat semantic interoperability problems. We present a model for the integrated retrieval of factual and textual data which combines multiple approaches to semantic interoperability und sets them into context. Embedded in the research cycle, traditional content indexing methods for publications meet the newer, but rarely used ontology-based approaches which seem to be better suited for representing complex information like the one contained in survey data. The benefits of our model are (1) easy re-use of available knowledge organisation systems and (2) reduced efforts for domain modelling with ontologies.

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