An Ontology-Based Approach for Semantic Integration

Calhau, Rodrigo F.; Falbo, Ricardo de Almeida

doi:10.1109/edoc.2010.32

Cited by 14 publications

(24 citation statements)

References 7 publications

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“…Despite the differences in the works's goals, some techniques and solutions proposed by Calhau and Falbo [2] can be very usefull for our research, such as the use of conceptual models for each tool and the corresponding mapping with an SCM ontology. Another similarity between our work and this related work is the use of the SCM ontology proposed by Arantes et al [4] as a reference ontology in the SCM domain.…”

Section: Related Workmentioning

confidence: 99%

“…The integration problem between tools was also addressed by Calhau and Falbo [2], [24] who proposed an OntologyBased Approach for Semantic Integration aiming to achieve a semantic agreement between computational tools used in requirements analysis and modeling phases. The proposed approach deals with integration in three layers: data, service, and process.…”

Section: Related Workmentioning

confidence: 99%

“…In this context, ontologies can be used as an interlingua to map concepts used by different enterprise applications [2]. According to Izza [3], the use of ontologies has been addressed in several studies, as a solution to semantic integration and interoperability of enterprise applications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Extending an SCM Ontology for Configuration Status Reporting

Silva

Cunha

2012

2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops

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Considering the status reporting activity on a Software Configuration Managment (SCM) process, this paper presents a new version of an ontology that aims to represent the knowledge domain related to the essential phases of: issue identification, issue evaluation, and change execution. Concepts, relations, properties, and axioms are presented for this ontology so competence questions can be answered. The work discusses an application scenario in a real project which exposes the possibities of generating knowledge from SCM data repositories using the proposed SCM ontology as a solution for semantic information integration.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Extending an SCM Ontology for Configuration Status Reporting

Silva

Cunha

2012

2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops

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“…Not using a systematic approach for performing the integration, despite the existence of systematic approaches in the literature (e.g. [24], [25], [26]), can be seen as a gap regarding methodological aspects. Systematic approaches can structure the integration process into different levels of abstractions and define guidelines on how to perform the various integration activities.…”

Section: All Proposals Support Data Collection and Data Analysismentioning

confidence: 99%

Integration of Software Measurement Supporting Tools: A Mapping Study

Fonseca¹,

Barcellos²,

Falbo³

2015

International Conferences on Software Engineering and Knowledge Engineering

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-During software projects, it is necessary to collect, store and analyze data to support decision making at project and organizational levels. Software measurement is a key practice to process quality improvement and project management. Given the nature of measurement activities, supporting tools are essential. Different tools can be combined to support the measurement process and provide the necessary information for decision making. However, usually these tools are developed by different developers, at different points in time and without concern for integration. As a result, organizations have to deal with integration issues to allow tools communication and properly support the measurement process. This paper presents a study investigating in the literature initiatives involving tools integration to support software measurement. As a result, twelve proposals were analyzed and their characteristics are presented.

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“…Neglecting semantics during an integration initiative is a serious issue, since many semantic problems can occur, such as the ones called "false agreement", which are described in [28] and include: the use of equivalent terms with different meaning; the use of equivalent terms with partially equivalent meaning; the use of different terms with equivalent meaning; and the use of different terms with a certain degree of equivalence. For addressing these problems, ontologies can be used to establish a common conceptualization about the domain in order to support communication and tools integration [24].…”

Section: All Proposals Support Data Collection and Data Analysismentioning

confidence: 99%