Abstract
Recently, domain specific ontology development has been driven by research on the Semantic Web. Ontologies have been suggested for use in many application areas targeted by the Semantic Web, such as dynamic web service composition and general web service matching. Fundamental characteristics of these ontologies must be determined in order to effectively make use of them: for example, Sirin, Hendler and Parsia have suggested that determining fundamental characteristics of ontologies is important for dynamic web service composition. Our research examines cohesion metrics for ontologies. The cohesion metrics examine the fundamental quality of cohesion as it relates to ontologies.
Highlights
Ontology: An ontology is defined as “a formal, explicit specification of a shared conceptualization [1]
The metrics are collected by using a standard XML DOM parser that parses the XML-based OWL ontology syntactically, but computes cohesion metrics conceptually based on predefined OWL primitives which explicitly defined tree-based semantic hierarchies in OWL ontologies
We studied ontologies and ontology engineering in general in order to propose a set of cohesion metrics based on general characteristics of ontologies, which we theoretically validated using Kitchenham et al [12] software measurement validation framework and Briand et al [11] more specific validation criteria for cohesion metrics
Summary
Management for the later phases, more effective quality assessment and maintenance estimation. Key technology to provide shared knowledge models to These metrics are Number of Root Classes (NoR), semantic-driven applications on the Internet. The metrics are collected by using a standard XML DOM parser that parses the XML-based OWL ontology syntactically, but computes cohesion metrics conceptually based on predefined OWL primitives which explicitly defined tree-based semantic hierarchies in OWL ontologies. These metrics are knowledge representation languages developed to theoretically validated using standard metrics validation model domain ontologies. OWL supports knowledge representation, domain vocabulary sharing, advanced search, software agents and knowledge management [3, 4]. For ontologybased systems, measuring ontologies in the early phases of the software development life-cycle allows better
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
