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Extension of the BiDO Ontology to Represent Scientific Production
- Source :
- Proceedings of the 2019 8th International Conference on Educational and Information Technology.
- Publication Year :
- 2019
- Publisher :
- ACM, 2019.
-
Abstract
- The SPAR Ontology Network is a suite of complementary ontology modules to describe the scholarly publishing domain. BiDO Standard Bibliometric Measures is part of its set of ontologies. It allows describing of numerical and categorical bibliometric data such as h-index, author citation count, journal impact factor. These measures may be used to evaluate scientific production of researchers. However, they are not enough. In a previous study, we determined the lack of some terms to provide a more complete representation of scientific production. Hence, we have built an extension using the NeOn Methodology to restructure the BiDO ontology. With this extension, it is possible to represent and measure the number of documents from research, the number of citations from a paper and the number of publications in high impact journals according to its area and discipline.
- Subjects :
- Information retrieval
Impact factor
Computer science
Author citation
02 engineering and technology
computer.file_format
Ontology (information science)
Domain (software engineering)
Set (abstract data type)
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
SPARQL
020201 artificial intelligence & image processing
RDF
Categorical variable
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2019 8th International Conference on Educational and Information Technology
- Accession number :
- edsair.doi...........225542b09807b860b8c91716480e0c2c
- Full Text :
- https://doi.org/10.1145/3318396.3318422