65 research outputs found

    Methods for Matching of Linked Open Social Science Data

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    In recent years, the concept of Linked Open Data (LOD), has gained popularity and acceptance across various communities and domains. Science politics and organizations claim that the potential of semantic technologies and data exposed in this manner may support and enhance research processes and infrastructures providing research information and services. In this thesis, we investigate whether these expectations can be met in the domain of the social sciences. In particular, we analyse and develop methods for matching social scientific data that is published as Linked Data, which we introduce as Linked Open Social Science Data. Based on expert interviews and a prototype application, we investigate the current consumption of LOD in the social sciences and its requirements. Following these insights, we first focus on the complete publication of Linked Open Social Science Data by extending and developing domain-specific ontologies for representing research communities, research data and thesauri. In the second part, methods for matching Linked Open Social Science Data are developed that address particular patterns and characteristics of the data typically used in social research. The results of this work contribute towards enabling a meaningful application of Linked Data in a scientific domain

    Dynamisches Browsing im Kontext von Informationsarchitekturen

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    Wissenschaftliche Fachportale bieten Nutzern in der Regel ein umfangreiches Angebot an verschiedenen Informationen und Dienstleistungen. Die Organisation dieser Angebotsvielfalt lässt sich jedoch nur schwer oder gar nicht mit softwareergonomischen Richtlinien bezüglich Navigations- und Menüstrukturen vereinen. Nutzern wird zudem oft eine feste inhaltliche Sicht auf die enthaltenen Informationsangebote präsentiert, von der angenommen wird, dass sie all ihre Informationsbedürfnisse befriedigt. Der folgende Beitrag zeigt, wie ein Referenzmodell für die Informationsarchitektur in Fachportalen die Informationsangebote als dynamisches Browsing in Form eines Produktkataloges integriert und verschiedene Sichten auf die Angebote ermöglicht. Eine abschließende Evaluation des Konzepts zeigt, dass die Nutzer mithilfe des Produktkataloges die Informationsangebote der Website einfacher finden können als mit einem herkömmlichen statischen Menü. (Autorenreferat

    Thesaurus for the Social Sciences (SKOS version)

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    The Thesaurus for the Social Sciences (TheSoz) contains about 12,000 entries, of which more than 8,000 are descriptors (authorised keywords) and about 6,000 non-descriptors. Topics from all disciplines of the social sciences are covered. This SKOS version of the thesaurus contains descriptors and non-descriptors in four languages (German, English, French, and Russian) as well as links to the TheSoz Classification, the STW Thesaurus for Economics, the AGROVOC Multilingual Thesaurus, and to DBpedia. The TheSoz Classification (TheSoz-CL) is a topic hierarchy complementing the Thesaurus for the Social Sciences (TheSoz). Within this SKOS version of the classification, individual classification items contain links to entries from the TheSoz. The zip archive contains the following files: - thesoz.ttl: the SKOS version of the TheSoz in Turtle format - thesoz_classification.ttl: the SKOS version of the TheSoz Classification in Turtle format - readme.txt: readme fileThe Thesaurus for the Social Sciences (TheSoz) contains about 12,000 entries, of which more than 8,000 are descriptors (authorised keywords) and about 6,000 non-descriptors. Topics from all disciplines of the social sciences are covered. This SKOS version of the thesaurus contains descriptors and non-descriptors in four languages (German, English, French, and Russian) as well as links to the TheSoz Classification, the STW Thesaurus for Economics, the AGROVOC Multilingual Thesaurus, and to DBpedia. The TheSoz Classification (TheSoz-CL) is a topic hierarchy complementing the Thesaurus for the Social Sciences (TheSoz). Within this SKOS version of the classification, individual classification items contain links to entries from the TheSoz. The zip archive contains the following files: - thesoz.ttl: the SKOS version of the TheSoz in Turtle format - thesoz_classification.ttl: the SKOS version of the TheSoz Classification in Turtle format - readme.txt: readme fil

    Thesaurus for the Social Sciences (SKOS version)

    No full text
    The Thesaurus for the Social Sciences (TheSoz) contains about 12,000 entries, of which more than 8,000 are descriptors (authorised keywords) and about 6,000 non-descriptors. Topics from all disciplines of the social sciences are covered. This SKOS version of the thesaurus contains descriptors and non-descriptors in four languages (German, English, French, and Russian) as well as links to the TheSoz Classification, the STW Thesaurus for Economics, the AGROVOC Multilingual Thesaurus, and to DBpedia. The TheSoz Classification (TheSoz-CL) is a topic hierarchy complementing the Thesaurus for the Social Sciences (TheSoz). Within this SKOS version of the classification, individual classification items contain links to entries from the TheSoz. The zip archive contains the following files: - thesoz.ttl: the SKOS version of the TheSoz in Turtle format - thesoz_classification.ttl: the SKOS version of the TheSoz Classification in Turtle format - readme.txt: readme fileThe Thesaurus for the Social Sciences (TheSoz) contains about 12,000 entries, of which more than 8,000 are descriptors (authorised keywords) and about 6,000 non-descriptors. Topics from all disciplines of the social sciences are covered. This SKOS version of the thesaurus contains descriptors and non-descriptors in four languages (German, English, French, and Russian) as well as links to the TheSoz Classification, the STW Thesaurus for Economics, the AGROVOC Multilingual Thesaurus, and to DBpedia. The TheSoz Classification (TheSoz-CL) is a topic hierarchy complementing the Thesaurus for the Social Sciences (TheSoz). Within this SKOS version of the classification, individual classification items contain links to entries from the TheSoz. The zip archive contains the following files: - thesoz.ttl: the SKOS version of the TheSoz in Turtle format - thesoz_classification.ttl: the SKOS version of the TheSoz Classification in Turtle format - readme.txt: readme fil

    Semantic Web Applications for the Social Sciences

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    Semantic Web Applications for the Social Sciences</jats:p

    Modelling text-fact-integration in digital libraries

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    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. (author's abstract

    Einbindung von Primärdaten in Digitale Bibliotheken

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    Obwohl auf Nutzerseite ein hoher Bedarf an einer integrierten Recherche in verschiedenen Informationstypen besteht, ist eine konsequente Einbindung von Primärdaten in Digitale Bibliotheken bislang nur selten anzutreffen. Am Beispiel sozialwissenschaftlicher Studien wird gezeigt, wie Faktendaten auf konzeptioneller Ebene in einer Digitalen Bibliothek verfügbar gemacht und mit den dort vorhandenen textuellen Informationen integriert werden können. Dabei werden auch Konzepte des Semantic Web berücksichtigt. (Autorenreferat

    SoRa Survey - Befragung zu georeferenzierten Daten

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    Zwischen dem 15. Oktober 2018 und dem 13. Januar 2019 wurden innerhalb des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Projekts "Sozial‐Raumwissenschaftliche Forschungsdateninfrastruktur" (SoRa) 39 Personen zum Thema georeferenzierte Daten befragt. Ziel der Befragung war zum einen zu erfassen, inwiefern Vorkenntnisse zu Daten und Methoden unter Forschenden vorhanden sind und zum anderen, welche Bedarfe an etwaigen Services und Datenangeboten bestehen. Dazu wurden unterschiedliche Fragen zu den Erfahrungen und Interessen der Befragten aus jenen Bereichen entwickelt und in einem Online‐Survey eingesetzt. Das vorliegende Papier beschreibt kurz die Motivation und den Hintergrund der Befragung, ihre Durchführung und in größeren Umfang die Ergebnisse. Wir starten mit einer kurzen Einführung zur Relevanz des Themas und seine Einbindung im Projektkontext sowie einer Stichprobenbeschreibung. Danach stellen wir die Ergebnisse aufgeschlüsselt nach Themenblöcken vor. In einem letzten Schritt ordnen wir die Ergebnisse angesichts ihrer Implikationen für die Ziele des Surveys ein. Im Anhang befindet sich zudem der Fragebogen der Erhebung

    Dataset: an overview of knowledge graphs in NFDI

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    This dataset contains a list of knowledge graphs (KGs), KG software, KG publications and KG use cases in context of NFDI (German National Research Data Infrastructure). The related manuscript is submitted to a poster session at the 1st Conference on Research Data Infrastructure - Connecting Communities, 12. – 14. September 2023, Karlsruhe, Germany: 'Who is using Knowledge Graphs in NFDI? An overview by the Working Group "Knowledge Graphs"'. The poster is available at: Limani, F., Shigapov, R., Degbelo, A., Schimmler, S., Zapilko, B., Rossenova, L., Dietze, S., Förstner, K. U., Karmakar, S., & Czerniak, A. (2023). Who is using Knowledge Graphs in NFDI? An overview by the Working Group "Knowledge Graphs". Zenodo. https://doi.org/10.5281/zenodo.833277
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