1. Extension of the BiDO Ontology to Represent Scientific Production
- Author
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Janneth Chicaiza, Oscar Corcho, Paola Espinoza-Arias, Mariela Tapia-Leon, María Poveda-Villalón, and Idafen Santana-Perez
- 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 - 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.
- Published
- 2019
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