By Fernando Silva Parreiras

The following firm computing period will depend on the synergy among either applied sciences: semantic internet and model-driven software program improvement (MDSD). The semantic net organizes method wisdom in conceptual domain names in line with its that means. It addresses numerous company computing wishes by way of picking, abstracting and rationalizing commonalities, and checking for inconsistencies throughout method requirements. at the different facet, model-driven software program improvement is final the space between company requisites, designs and executables through the use of domain-specific languages with custom-built syntax and semantics. It makes a speciality of utilizing modeling languages as programming languages.

Among many parts of program, we spotlight the realm of configuration administration. think of the instance of a telecommunication corporation, the place handling the a number of configurations of community units (routers, hubs, modems, etc.) is essential. company platforms establish and rfile the sensible and actual features of community units, and keep watch over adjustments to these features. employing the combination of semantic net and model-driven software program improvement permits for

(1) explicitly specifying configurations of community units with tailored languages,

(2) for checking the consistency of those specifications

(3) for outlining a vocabulary to proportion equipment requirements throughout company platforms. by way of dealing with configurations with constant and particular recommendations, we decrease rate and threat, and increase agility in accordance with new standards within the telecommunication area.

This publication examines the synergy among semantic net and model-driven software program improvement. It brings jointly advances from disciplines like ontologies, description logics, domain-specific modeling, version transformation and ontology engineering to take company computing to the subsequent level.

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Extra resources for Integration of the Semantic Web and Model-Driven Software

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10 OWL Properties of the OWL 2 Metamodel. 11 Snippets of the SWRL Metamodel and the Connections with the OWL Metamodel. 2 ONTOLOGY FOUNDATIONS SPARQL Metamodel In addition to OWL and SWRL, we capture the structure of the SPARQL language using a metamodel. Since the SPARQL specification does not recommend a structural specification of the SPARQL language, we have designed the SPARQL Metamodel based on the SPARQL EBNF Syntax. 12 presents the main classes of the SPARQL Metamodel. A SPARQL query comprises a prologue, where namespaces are declared, and the query body.

We validate our approach with three case studies of three ontology engineering services: ontology mapping, ontology API generation, and ontology modeling. A How does one fill the abstraction gap between ontology mapping languages and programming languages? B What are the results of applying MDE techniques in ontology API development? C How does one allow declarative specifications of templates and tools to test these template specifications and realizations? CH A P TE R 2 MODEL-DRIVEN ENGINEERING FOUNDATIONS This chapter discusses the state of the art for model-driven engineering.

5 depict the class description diagram and the properties diagram, respectively. 6. 4 OWL Class Descriptions of the OMG OWL Metamodel [114]. 5 OWL Properties of the OMG OWL Metamodel [114]. 6 RDFS Properties of the OMG OWL Metamodel [114]. The OMG Metamodel has public acceptance as standard and popularity. Nevertheless, the OMG Metamodel introduces unnecessary complexity in dealing with RDF without any gain. Furthermore, the OMG Metamodel does not provide support for OWL 2. NeOn OWL Metamodel. The NeOn Metamodel [23] is a concise metamodel able to cover the OWL-DL functional syntax.

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