Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/845
Title: Analysis of ontology networks
Authors: Savić, Mirko
Ivanović, Mirjana 
Jain L.
Issue Date: 1-Jan-2019
Journal: Intelligent Systems Reference Library
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.
URI: https://open.uns.ac.rs/handle/123456789/845
ISSN: 18684394
DOI: 10.1007/978-3-319-91196-0_4
Appears in Collections:PMF Publikacije/Publications

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