A semantic metrics suite for evaluating modular ontologies.
سال
: 2013
چکیده: Ontologies, which are formal representations of knowledge within a domain, can be used for designing and sharing conceptual models of enterprises information for the purpose of enhancing understanding, communication and interoperability. For representing a body of knowledge, different ontologies may be designed. Recently, designing ontologies in a modular manner has emerged for achieving better reasoning performance, more efficient ontology management and change handling. One of the important challenges in the employment of ontologies and modular ontologies in modeling information within enterprises is the evaluation of the suitability of an ontology for a domain and the performance of inference operations over it. In this paper, we present a set of semantic metrics for evaluating ontologies and modular ontologies. These metrics measure cohesion and coupling of ontologies, which are two important notions in the process of assessing ontologies for enterprise modeling. The proposed metrics are based on semantic-based definitions of relativeness, and dependencies between local symbols, and also between local and external symbols of ontologies. Based on these semantic definitions, not only the explicitly asserted knowledge in ontologies but also the implied knowledge, which is derived through inference, is considered for the sake of ontology assessment. We present several empirical case studies for investigating the correlation between the proposed metrics and reasoning performance, which is an important issue in applicability of employing ontologies in real-world information systems.
کلیدواژه(گان): Ontologies,Modular ontologies,Ontology design,Ontology evaluation,Measurements,Semantic metrics,Cohesion,Coupling,Description logics,Reasoning performance
کالکشن
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آمار بازدید
A semantic metrics suite for evaluating modular ontologies.
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contributor author | فائزه انسان | en |
contributor author | Weichang DU | en |
contributor author | F Ensan | fa |
date accessioned | 2020-06-06T13:27:18Z | |
date available | 2020-06-06T13:27:18Z | |
date issued | 2013 | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/3355522 | |
description abstract | Ontologies, which are formal representations of knowledge within a domain, can be used for designing and sharing conceptual models of enterprises information for the purpose of enhancing understanding, communication and interoperability. For representing a body of knowledge, different ontologies may be designed. Recently, designing ontologies in a modular manner has emerged for achieving better reasoning performance, more efficient ontology management and change handling. One of the important challenges in the employment of ontologies and modular ontologies in modeling information within enterprises is the evaluation of the suitability of an ontology for a domain and the performance of inference operations over it. In this paper, we present a set of semantic metrics for evaluating ontologies and modular ontologies. These metrics measure cohesion and coupling of ontologies, which are two important notions in the process of assessing ontologies for enterprise modeling. The proposed metrics are based on semantic-based definitions of relativeness, and dependencies between local symbols, and also between local and external symbols of ontologies. Based on these semantic definitions, not only the explicitly asserted knowledge in ontologies but also the implied knowledge, which is derived through inference, is considered for the sake of ontology assessment. We present several empirical case studies for investigating the correlation between the proposed metrics and reasoning performance, which is an important issue in applicability of employing ontologies in real-world information systems. | en |
language | English | |
title | A semantic metrics suite for evaluating modular ontologies. | en |
type | Journal Paper | |
contenttype | External Fulltext | |
subject keywords | Ontologies | en |
subject keywords | Modular ontologies | en |
subject keywords | Ontology design | en |
subject keywords | Ontology evaluation | en |
subject keywords | Measurements | en |
subject keywords | Semantic metrics | en |
subject keywords | Cohesion | en |
subject keywords | Coupling | en |
subject keywords | Description logics | en |
subject keywords | Reasoning performance | en |
journal title | Information Systems | fa |
pages | 745-770 | |
journal volume | 38 | |
journal issue | 5 | |
identifier link | https://profdoc.um.ac.ir/paper-abstract-1053390.html | |
identifier articleid | 1053390 |