Cohesion and coupling metrics for ontology modules

Oh, Sunju; Yeom, Heon Y.; Ahn, JoongHo

doi:10.1007/s10799-011-0094-5

Cited by 30 publications

(18 citation statements)

References 46 publications

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“…ontology level and class level. Authors in [39] evaluate the complexity metrics theoretically against Weyuker's properties and also practically by using ontologies available from Swoogle [45]. It has been underlined that software design complexity measure can help ontology designer identify the problem area that hinders maintenance and reuse of ontology, and thus degrades its quality.…”

Section: Software Quality Measurement For Semantic Web Applicationsmentioning

confidence: 99%

“…Out of the most significant works on ontology quality assessment listed here, 2 [35,36] are validated through a standard set of public ontologies. While [36] and [40] use case studies for their method's demonstration and evaluation, [39] and [34] use expert users for theoretical validation. In addition to expert users, [34] uses Swoogle tool, and [39] uses SWOOP tool for empirical validation.…”

Section: Observationsmentioning

confidence: 99%

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Software Process and Quality Evaluation for Semantic Web Applications

Baliyan

Kumar

2014

IETE Technical Review

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Semantic Web applications offer the benefit of providing reusable machine understandable content in the form of an ontology. Machine understandability is one of the most important aspects that differentiate Semantic Web based applications from traditional software. Hence, there is a need to adapt several features of the Software Engineering paradigm to Semantic Web based application development in order to make development and delivery of the latter, more efficient. In this paper, a rigorous review of the state of the art in this area has been presented. The existing works on Software Engineering processes for Semantic Web application development, on the process for reengineering web applications to Semantic Web applications, and on the quality assessment of Semantic Web applications have been reviewed with discussion on the brief process, tools used, contribution, limitations, and some other features of each work. In addition to identified research gaps in these directions, some observations have also been drawn.

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Section: Software Quality Measurement For Semantic Web Applicationsmentioning

confidence: 99%

Section: Observationsmentioning

confidence: 99%

Software Process and Quality Evaluation for Semantic Web Applications

Baliyan

Kumar

2014

IETE Technical Review

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“…Ensan and Du proposed four metrics NSLD, NMLD, NSED and NMED, which concentrate on measuring the semantics of ontologies for modular ontologies 24 . Oh et al 25 also proposed some ontology cohesion and coupling metrics for modular ontologies.…”

Section: Related Workmentioning

confidence: 99%

“…By the extensive analysis of most of the existing ontology metrics, we summarize the measurement entities of the existing ontology metrics 12,13,14,15,16,17,24,25 , most of which mainly include concepts/classes, properties, class inheritance, axioms, instances, fanouts, fanins, paths and partitions. In these types of measurement entities, classes, properties, class inheritance, axioms and instances belong to the fine-grained types of measurement entities because they are the basic elements consisting of ontologies.…”

Section: Entity Summarizationmentioning

confidence: 99%

A Generic Implementation Framework for Measuring Ontology-Based Information

Ma¹,

Zhang²,

Jin³

et al. 2014

IJCIS

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As a knowledge representation tool, ontologies have been widely applied in many fields such as knowledge management and information integration, etc. Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. This paper proposes a generic implementation framework for stable semantic ontology measurement. Through this framework, an ontology will be measured according to its semantic enriched representation model (SERM). The SERM model of an ontology can be used for stably measuring the semantics of the ontology. Then ontology metrics are integrated into the framework to measure candidate ontologies according to its SERM model. The related experiments are made to show that the framework can effectively measure the semantics of ontologies.

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“…Oh [69] proposes a novel metrics to measure ontology modularity. Ontology-based service composition is introduced in [87,37].…”

Section: Introductionmentioning

confidence: 99%

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Tsai

Zhong

2014

2014 IEEE 8th International Symposium on Service Oriented System Engineering

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Multi-tenancy architecture (MTA) is often used in Software-as-a-Service (SaaS) and the central idea is that multiple tenant applications can be developed using components stored in the SaaS infrastructure. Recently, MTA has been extended where a tenant application can have its own sub-tenants as the tenant application acts like a SaaS infrastructure. In other words, MTA is extended to STA (Sub-Tenancy Architecture ). In STA, each tenant application not only need to develop its own functionalities, but also need to prepare an infrastructure to allow its sub-tenants to develop customized applications. This dissertation formulates eight models for STA, and proposes a Variant Point based customization model to help tenants and subtenants customize tenant and sub-tenant applications. In addition, this dissertation introduces Crowd-sourcing to become the core of STA component development life cycle. To discover fit tenant developers or components to help building and composing new components, dynamic and static ranking models are proposed. Further, rank computation architecture is presented to deal with the case when the number of tenants and components becomes huge. At last, an experiment is performed to prove rank models and the rank computation architecture work as design. Finally, I dedicate this dissertation to my many friends, Song Xiang, Feng Guo,

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Cohesion and coupling metrics for ontology modules

Cited by 30 publications

References 46 publications

Software Process and Quality Evaluation for Semantic Web Applications

Software Process and Quality Evaluation for Semantic Web Applications

A Generic Implementation Framework for Measuring Ontology-Based Information

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

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