Memorias de investigación
Communications at congresses:
Towards the Definition of a Language-Independent Mapping Template for Knowledge Graph Creation
Year:2019

Research Areas
  • Information technology and adata processing

Information
Abstract
The use of knowledge graphs is spreading in the scientific community across different domains, from social sciences to biomedicine. The creation of knowledge graphs usually needs the integration of multiple heterogeneous data sources in different formats and schemas. One common way to achieve this process is using declarative mappings, which establish the relationships between the source data and the ontology, improving relevant aspects such as maintainability, readability and understandability. Learning how to use and create mappings is not an easy task, hindering the use of this technology to anyone outside the area. As a result, this task is usually carried out by experts. To ease the mapping creation, several mapping editors have been developed, but their success is limited. In this paper, we devise the use of a well-known tool commonly used in the scientific community, the spreadsheets, to specify the mapping rules in a language-independent way. Our aim is to ease the mapping creation and make it more accessible for the community. We also show a real use case, in which using spreadsheets helps in the mapping creation process and enables a handy way for editing and visualizing mapping rules.
International
Si
Congress
Third International Workshop on Capturing Scientific Knowledge co-located with the 10th International Conference on Knowledge Capture
960
Place
Marina del Rey, California
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
19/11/2019
End Date
19/11/2019
From page
33
To page
36
Proceedings of the Third International Workshop on Capturing Scientific Knowledge co-located with the 10th International Conference on Knowledge Capture
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial