Search (2 results, page 1 of 1)

  • × author_ss:"Zapilko, B."
  • × theme_ss:"Information Gateway"
  1. Zapilko, B.: InFoLiS (2017) 0.03 
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    Abstract
    Die von der DFG geförderte InFoLiS-Projektreihe wurde dieses Jahr erfolgreich abgeschlossen. Die Projekte wurden von GESIS - Leibniz-Institut für Sozialwissenschaften, der Universitätsbibliothek Mannheim und der Hochschule der Medien Stuttgart durchgeführt. Ziel der Projekte InFoLiS I und InFoLiS II war die Entwicklung von Verfahren zur Verknüpfung von Forschungsdaten und Literatur. Diese Verknüpfung kann einen erheblichen Mehrwert für Recherchesystem in Informationsinfrastrukturen wie Bibliotheken und Forschungsdatenzentren für die Recherche der Nutzerinnen und Nutzer darstellen. Die Projektergebnisse im Einzelnen sind: - Entwicklung von Verfahren für die automatische Verknüpfung von Publikationen und Forschungsdaten - Integration dieser Verknüpfungen in die Recherchesysteme der Projektpartner - Automatische Verschlagwortung von Forschungsdaten - Überführung der entwickelten Verfahren in eine Linked Open Data-basierte nachnutzbare Infrastruktur mit Webservices und APIs - Anwendung der Verfahren auf einer disziplinübergreifenden und mehrsprachigen Datenbasis - Nachnutzbarkeit der Links durch die Verwendung einer Forschungsdatenontologie Weitere Informationen finden sich auf der Projekthomepage [http://infolis.github.io/]. Sämtliche Projektergebnisse inklusive Quellcode stehen Open Source auf unserer GitHub-Seite [http://www.github.com/infolis/] für eine Nachnutzung zur Verfügung. Bei Interesse an einer Nachnutzung oder Weiterentwicklung Kontakt-E-Mail (benjamin.zapilko@gesis.org<mailto:benjamin.zapilko@gesis.org>).
  2. Stempfhuber, M.; Zapilko, B.: Modelling text-fact-integration in digital libraries (2009) 0.01 
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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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