Semantic Comparison of Ontologies Based on WordNet

Sosa, Encarna; Lozano-Tello, Adolfo; Prieto, Álvaro E.

doi:10.1109/cisis.2008.67

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…In [74] a semantic comparison between ontologies based on WordNet was carried out. The authors identified the Dieng and Hug algorithm [32] and the Wang et al algorithm [27] as suitable semantic algorithms candidates to comparing ontologies.…”

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

et al. 2020

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Many companies have implemented their business processes in Web applications which must be frequently adapted so as to stay aligned with new business process requirements. Service-oriented architectures (SOAs) constitute an appropriate option to manage the continuous changes in those processes by facilitating their alignment with the changing underlying system services. In this context, firms are trying to migrate their Web applications to new software architectures such as SOAs. However, this migration is usually carried out ad-hoc by means of non-reusable and error-prone manual processes. Similarly, the alignment between the business processes and the underlying services identified is usually done by hand. This work presents a model-driven semiautomatic approach to modernize legacy Web applications to SOAs. The approach is focused on an automatic semantic process aimed at discovering the services that can be used to implement the business processes (defined by the companies), then aligning these processes with the underlying services. A semantic algorithm is provided to aid the migration architect during the alignment process. The case study carried out shows that the alignment process results obtained by the semantic algorithm presented in this paper are similar to those obtained by the experts manually. Finally, SOA orchestration artifacts are generated from the semantic algorithm results. INDEX TERMS Legacy Web applications, service-oriented architecture, semantic algorithms, model-driven techniques.

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Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

et al. 2020

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“…There is no consideration of partof relation in this algorithm. To solve this problem, Sosa et al [2] have proposed SeCoOn method. This method is based on WordNet.…”

Section: Related Workmentioning

confidence: 99%

Developing a framework for ontology generalization

Opu¹,

Arefin

Morimoto

2014

2014 International Conference on Informatics, Electronics &Amp; Vision (ICIEV)

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In this paper, we have developed a framework for ontology generalization that can easily generalize two or more similar type ontologies into one ontology. The proposed system first checks the similarity among the ontologies . It then merges the similar ontologies into one more general ontology. We have tested our developed ontology generalization approach with several ontologies. We have found that our system can perform the generalization of ontologies with a certain level of accuracy.

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Automarking: Automatic Assessment of Open Questions

Cutrone

Chang

2010

2010 10th IEEE International Conference on Advanced Learning Technologies

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Semantic Comparison of Ontologies Based on WordNet

Cited by 4 publications

References 10 publications

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

Developing a framework for ontology generalization

Automarking: Automatic Assessment of Open Questions

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