OntoSeer -- A Recommendation System to Improve the Quality of Ontologies
- URL: http://arxiv.org/abs/2202.02125v1
- Date: Fri, 4 Feb 2022 13:28:13 GMT
- Title: OntoSeer -- A Recommendation System to Improve the Quality of Ontologies
- Authors: Pramit Bhattacharyya, Raghava Mutharaju
- Abstract summary: Ontology developers have to grapple with several questions related to the choice of classes, properties, and axioms that should be included.
It is hard to know the terms (classes and properties) vocabularies that can be reused in the development of an ontology.
OntoSeer monitors the ontology development process and provides suggestions in real-time to improve the quality of the under development.
- Score: 1.713291434132985
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Building an ontology is not only a time-consuming process, but it is also
confusing, especially for beginners and the inexperienced. Although ontology
developers can take the help of domain experts in building an ontology, they
are not readily available in several cases for a variety of reasons. Ontology
developers have to grapple with several questions related to the choice of
classes, properties, and the axioms that should be included. Apart from this,
there are aspects such as modularity and reusability that should be taken care
of. From among the thousands of publicly available ontologies and vocabularies
in repositories such as Linked Open Vocabularies (LOV) and BioPortal, it is
hard to know the terms (classes and properties) that can be reused in the
development of an ontology. A similar problem exists in implementing the right
set of ontology design patterns (ODPs) from among the several available.
Generally, ontology developers make use of their experience in handling these
issues, and the inexperienced ones have a hard time. In order to bridge this
gap, we propose a tool named OntoSeer, that monitors the ontology development
process and provides suggestions in real-time to improve the quality of the
ontology under development. It can provide suggestions on the naming
conventions to follow, vocabulary to reuse, ODPs to implement, and axioms to be
added to the ontology. OntoSeer has been implemented as a Prot\'eg\'e plug-in.
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