Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/845
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dc.contributor.authorSavić, Mirkoen
dc.contributor.authorIvanović, Mirjanaen
dc.contributor.authorJain L.en
dc.date.accessioned2019-09-23T10:11:33Z-
dc.date.available2019-09-23T10:11:33Z-
dc.date.issued2019-01-01en
dc.identifier.issn18684394en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/845-
dc.description.abstract© 2019, Springer International Publishing AG, part of Springer Nature. In computer and information sciences, an ontology is, in its essence, a named set of axioms encoding a network of relationships and dependencies between ontological entities present in a knowledge domain. With the rise of Semantic Web technologies, real-world ontologies have become considerably large leading to complex ontology networks. In this chapter we firstly present an overview of previous research works dealing with analysis of ontology networks. Nodes of ontology networks can be enriched with various metrics reflecting complexity and quality attributes of corresponding ontological entities. On a case study involving one large-scale modularized ontology, we demonstrate that analysis of enriched ontology networks can help ontology engineers not only to understand the structural complexity of ontologies, but also to evaluate their quality with respect to well-established modular design principles.en
dc.relation.ispartofIntelligent Systems Reference Libraryen
dc.titleAnalysis of ontology networksen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-3-319-91196-0_4en
dc.identifier.scopus2-s2.0-85047002864en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85047002864en
dc.relation.lastpage175en
dc.relation.firstpage143en
dc.relation.volume148en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptPrirodno-matematički fakultet, Departman za matematiku i informatiku-
crisitem.author.orcid0000-0003-1946-0384-
crisitem.author.parentorgPrirodno-matematički fakultet-
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