Abstract
Specialized ontologies are constructed to capture the skills of experienced experts, with the goal of sharing them with a larger community of trainees and less experienced experts in the domain. A challenging task in the engineering pipeline of specialized ontologies is ontology updating, which encompasses enrichment and population. Domain experts require an understanding of the RDF notation and OWL semantics to update their ontologies, which is not often the case. In this paper, we present IOPE, an interactive framework for the automatic construction of a Graphical User Interface (GUI) to support the controlled update process, by enabling the experts to easily interact with their ontology. We contribute a set of “mapping rules” to transform the ontological constraints into interactive widgets organized in the form of pre-filled Web pages in the GUI, and a set of “binding rules” to transform the expert interactions into RDF graphs, and hence perform the updates. In an extensive set of experiments, we illustrate the efficacy of IOPE in empowering medical experts to update their specialized ontology.
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Notes
- 1.
Resource Description Framework Schema (RDFS): https://www.w3.org/TR/rdf-schema.
- 2.
Web Ontology Language (OWL): https://www.w3.org/TR/owl-features.
- 3.
Shapes Constraint Language (SHACL): https://www.w3.org/TR/shacl/.
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Baghernezhad-Tabasi, S., Druette, L., Jouanot, F., Meurger, C., Rousset, MC. (2021). IOPE: Interactive Ontology Population and Enrichment Guided by Ontological Constraints. In: Zhang, W., Zou, L., Maamar, Z., Chen, L. (eds) Web Information Systems Engineering – WISE 2021. WISE 2021. Lecture Notes in Computer Science(), vol 13080. Springer, Cham. https://doi.org/10.1007/978-3-030-90888-1_25
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