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A metric suite to analyse strength of modularised ontologies
- Source :
- International Journal of Information Technology. 11:591-598
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Ontologies are used to acquire, represent, and process information in various domains. Ontology developed has to be validated and verified for its quality. Measuring the quality of ontology helps to make decisions when sharing, using or reusing ontology. One of the ways of measuring the ontology is to evaluate using metrics. The classes, instances and relationships of ontology can be represented in graph with nodes and leafs. Analysing the graph of ontology decisions can be made regarding the quality of ontology. Cohesion measures the relatedness, connectivity and interdependence of ontology. Cohesion shows the degree of relatedness between different entities. When the entities of ontology are highly related there is a strong cohesion value. The design quality of ontology can be evaluated using cohesion. The results of cohesion when used with measures of other attributes can be used for the modularisation of ontology. This paper proposes a metric suite to calculate the strength of ontology. The metric suite proposed can be used to evaluate the quality of ontology. The derived metric suite is theoretically validated. The results indicate that the metric suite works well and gives the strength of modularised ontology.
- Subjects :
- Information retrieval
Degree (graph theory)
Computer Networks and Communications
Computer science
Applied Mathematics
Suite
media_common.quotation_subject
020206 networking & telecommunications
Cohesion (computer science)
02 engineering and technology
Reuse
Ontology (information science)
Computer Science Applications
Computational Theory and Mathematics
Artificial Intelligence
Metric (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Graph (abstract data type)
020201 artificial intelligence & image processing
Quality (business)
Electrical and Electronic Engineering
Information Systems
media_common
Subjects
Details
- ISSN :
- 25112112 and 25112104
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- International Journal of Information Technology
- Accession number :
- edsair.doi...........c6579b8cd8e2a65823eb59c3c3b03830