Automatic extraction of OWL ontologies from UML class diagrams: a semantics-preserving approach

Abstract-Embedded systems have evolved from tailormade systems developed by specialist engineers to artefacts built from complex software/hardware components with many extrafunctional concerns. Ubiquity of embedded devices demands other facets such as security and safety to be brought to the forefront. At the same time, cost efficiency dictates building systems from reusable building blocks. However, integration of extrafunctional building blocks comes with a certain performance resource overhead that must be taken into consideration while designing resource-constraint embedded systems. This paper builds on the premise that functional models can be extended with platform modelling to help the application engineers to select the right extra-functional building blocks accounting for performance implications of their integration. We define a UML profile relating it to relevant parts of the MARTE profile in order to capture the performance analysis results for a reusable building block, and a generic notion of model-based compatibility analysis for platform models. Additionally, our approach rests on creation of ontologies to store MARTE description of hardware components, and is supported by a MagicDraw plugin developed for capturing the analysis results and performing the compatibility analysis.

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“…A literature survey of such approaches, performed in [16] highlights the need to handle hidden relationships, many-to-many relationships, and axioms in databases for efficient extraction of semantics from RDB. Authors in [17] demonstrate semantic equivalence of UML class diagram and ontology, with the help of a prototype. Automatic UML to ontology mapping would ease the manual step of ontology generation.…”

Section: Software Process Framework For Swasmentioning

confidence: 99%

“…Furthermore, it is argued that such transformation when performed during the analysis phase of software life cycle generates SW-enabled software. Some work is ongoing for handling newer features of OWL2 during UML to ontology mapping [17].…”

Section: Software Process Framework For Swasmentioning

confidence: 99%

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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Automatic extraction of OWL ontologies from UML class diagrams: a semantics-preserving approach

Cited by 34 publications

References 15 publications

Security in Embedded Systems: A Model-Based Approach with Risk Metrics

Security in Embedded Systems: A Model-Based Approach with Risk Metrics

Support for cross-domain composition of embedded systems using MARTE models

Software Process and Quality Evaluation for Semantic Web Applications

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