Type

Conference Proceedings

Authors

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

Subjects

Computer Science

Topics
data collection semantic models machine translating ontology historical data data model analysis e lexicography semantic uplift

A semantic model for traditional data collection questionnaires enabling cultural analysis (2018)

Abstract Around the world, there is a wide range of traditional data manually collected for different scientific purposes. A small portion of this data has been digitised, but much of it remains less usable due to a lack of rich semantic models to enable humans and machines to understand, interpret and use these data. This paper presents ongoing work to build a semantic model to enrich and publish traditional data collection questionnaires in particular, and the historical data collection of the Bavarian Dialects in Austria in general. The use of cultural and linguistic concepts identified in the questionnaire questions allow for cultural exploration of the non-standard data (answers) of the collection. The approach focuses on capturing the semantics of the questionnaires dataset using domain analysis and schema analysis. This involves analysing the overall data collection process (domain analysis) and analysing the various schema used at different stages (schema analysis). By starting with modelling the data collection method, the focus is placed on the questionnaires as a gateway to understanding, interlinking and publishing the datasets. A model that describes the semantic structure of the main entities such as questionnaires, questions, answers and their relationships is presented.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
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 -> 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