Selecting Ontologies for Reuse: Case of Constructing Hotel Room Ontology

Simple item page
dc.contributor.authorOjino, Ronald
dc.contributor.authorMich, Luisa
dc.contributor.authorMvungi, Nerey
dc.date.accessioned2022-06-30T13:32:26Z
dc.date.available2022-06-30T13:32:26Z
dc.date.issued2021
dc.descriptionA book chapter published in the part of the Communications in Computer and Information Science book seriesen_US
dc.description.abstractIn line with the goal of promoting interoperability among applications, ontology reuse is an encouraged practice. Selecting appropriate ontologies for reuse when constructing a domain ontology is a critical activity. It calls for the use of formal methodologies and quality metrics in order to provide a comprehensive rationale for the selection process. This research employs NeOn methodological guidelines and CLeAR in selecting and assessing ontologies for reuse while building a domain-specific ontology, the Hotel Room Ontology. Results of the ontology selection and assessment exercise led to the selection of Hontology, DogOnt and SOSA/SSN. The integrated approach to ontology selection gives a justifiable basis for decisions made in identifying ontologies for reuse.en_US
dc.identifier.citationOjino, R., Mich, L., Mvungi, N. (2021). Selecting Ontologies for Reuse: Case of Constructing Hotel Room Ontology. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham. https://doi.org/10.1007/978-3-030-91305-2_13en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/751
dc.language.isoenen_US
dc.publisherSpringerLinken_US
dc.subjectOntology selectionen_US
dc.subjectOntology assessmenten_US
dc.subjectOntology reuseen_US
dc.titleSelecting Ontologies for Reuse: Case of Constructing Hotel Room Ontologyen_US
dc.typeBook chapteren_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Selecting Ontologies for Reuse.pdf
Size:
404.56 KB
Format:
Adobe Portable Document Format
Description:
Abstract
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Computing Science and Information Technology (DCSIT)