Type

Journal Article

Authors

Andy Way
Eveline Wandl-Vogt
Barbara Piringer
Amelie Dorn
Yalemisew Abgaz

Subjects

Computer Science

Topics
linguistic linked open data semantic uplift semantic modelling ontology machine translating e lexicography linked data questionnaires

Semantic modelling and publishing of traditional data collection questionnaires and answers (2018)

Abstract Extensive collections of data of linguistic, historical and socio-cultural importance are stored in libraries, museums and national archives with enormous potential to support research. However, a sizable portion of the data remains underutilised because of a lack of the required knowledge to model the data semantically and convert it into a format suitable for the semantic web. Although many institutions have produced digital versions of their collection, semantic enrichment, interlinking and exploration are still missing from digitised versions. In this paper, we present a model that provides structure and semantics to a non-standard linguistic and historical data collection on the example of the Bavarian dialects in Austria at the Austrian Academy of Sciences. We followed a semantic modelling approach that utilises the knowledge of domain experts and the corresponding schema produced during the data collection process. The model is used to enrich, interlink and publish the collection semantically. The dataset includes questionnaires and answers as well as supplementary information about the circumstances of the data collection (person, location, time, etc.). The semantic uplift is demonstrated by converting a subset of the collection to a Linked Open Data (LOD) format, where domain experts evaluated the model and the resulting dataset for its support of user queries.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating

Full list of authors on original publication

Andy Way, Eveline Wandl-Vogt, Barbara Piringer, Amelie Dorn, Yalemisew Abgaz

Experts in our system

1
Andy Way
Dublin City University
Total Publications: 229
 
2
Eveline Wandl-Vogt
Dublin City University
Total Publications: 3
 
3
Amelie Dorn
Dublin City University
Total Publications: 4
 
4
Yalemisew Abgaz
Maynooth University
Total Publications: 10