Cited By
View all- Henrich ANicklas D(2018)Datenbanken und Information Retrieval an der Universität BambergDatenbank-Spektrum10.1007/s13222-018-0298-518:3(195-202)Online publication date: 24-Oct-2018
Extending Data Models by Declaratively Specifying Contextual Knowledge
Authors: 
Tobias Gradl and Andreas HenrichAuthors Info & Claims
Tobias Gradl and Andreas HenrichAuthors Info & ClaimsSeptember 2016
Pages 123 - 126
Abstract
The research data landscape of the arts and humanities is characterized by a high degree of heterogeneity. To improve interoperability, recent initiatives and research infrastructures are encouraging the use of standards and best practices. However, custom data models are often considered necessary to exactly reflect the requirements of a particular collection or research project. To address the needs of scholars in the arts and humanities for a composition of research data irrespective of the degree of structuredness and standardization, we propose a concept on the basis of formal languages, which facilitates declarative data modeling by respective domain experts. By identifying and defining grammatical patterns and deriving transformation functions, the structure of data is generated or extended in accordance with the particular context and needs of the domain.
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T. Gradl and A. Henrich. A novel approach for a reusable federation of research data within the arts and humanities. In Digital Humanities 2014 - Book of Abstracts, pages 382--384, Lausanne, Switzerland, 2014.
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T. Gradl and A. Henrich. Nutzung und kombination von daten aus strukturierten und unstrukturierten quellen zur identifikation transnationaler lebensl\"aufe. In E. Burr, editor, DHd 2016, pages 135--138. nisaba Verlag, 2016.
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- Extending Data Models by Declaratively Specifying Contextual Knowledge
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Published: 13 September 2016
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View all- Henrich ANicklas D(2018)Datenbanken und Information Retrieval an der Universität BambergDatenbank-Spektrum10.1007/s13222-018-0298-518:3(195-202)Online publication date: 24-Oct-2018
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