A Web service for efficient ontology comparison

Wang, J.Z.; Ali, Farha; Appaneravanda, R.

doi:10.1109/icws.2005.22

Cited by 13 publications

(10 citation statements)

References 14 publications

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“…Thus, semantic algorithms have been widely used to tackle several domain areas as ontology evolution [21], ontology integration [22], data integration [23] and data flow specifications (ETL jobs) [24]. Others have been applied on peer-to-peer information sharing [25], composition and coordination of web services [26] or ontologies comparison [27].…”

Section: A Semantic Algorithms and Ontology Mappingsmentioning

confidence: 99%

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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 Algorithms and Ontology Mappingsmentioning

confidence: 99%

“…On the other hand, algorithms such as [27], [32]- [35] tackle the semantic similarity of terms based on WordNet or specific dictionaries. They are based on ontologies and hierarchical semantic knowledge, defining direct relations among elements and taken into account the path to achieve a specific concept.…”

Section: A Semantic Algorithms and Ontology Mappingsmentioning

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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“…A diff web service takes as input two versions of an OWL ontology and returns their structural diff (concepts that were added, deleted or changed). Another web service for comparison of ontology versions is described in [ 35 ]. The service accepts a pair of ontologies written in OWL and returns a numeric value which represents their semantic difference.…”

Section: Introductionmentioning

confidence: 99%

OnEX: Exploring changes in life science ontologies

et al. 2009

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“…However, up to date, there are not many works whose aim is to compare ontologies in the same domain. Different approaches make this comparison, which is based on matching techniques [23,5], comparisons to conceptual level [33], similarity measurements [32, 21 and 9] and senses refinement algorithms [31,30].…”

Section: Comparisonmentioning

confidence: 99%

An Approach to Comparing Different Ontologies in the Context of Hydrographical Information

Vilches‐Blázquez

Ramos

López-Pellicer

et al. 2009

Lecture Notes in Geoinformation and Cartography

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Abstract. Geographical Information is increasingly captured, managed and updated by different cartographic agencies. This information presents different structures and variable levels of granularity and quality. In practice, such heterogeneity causes the building up of multiple sets of geodata with different underlying models and schemas that have different structure and semantics. Ontologies are a proposal widely used for solving heterogeneity and a way of achieving the data harmonization and integration that GIS and SDI need. This paper presents three hydrographical ontologies (which are built using topdown and bottom-up approaches) and an approach to comparing them; the goal of this approach is to prove which ontologies have a better coverage of the domain. In order to compare the resultant ontologies, six qualitative facets have been studied: sources used (amount, richness and consensus), reliability of building approaches (community extending use, recommendations), ontology richness (number and types of components), formalization (language), granularity (scale factor) and the design criteria followed.

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A Web service for efficient ontology comparison

Abstract: Abstract

Cited by 13 publications

References 14 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

OnEX: Exploring changes in life science ontologies

An Approach to Comparing Different Ontologies in the Context of Hydrographical Information

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