Dramatic advances in serviceoriented architectures, modeldriven engineering, and web mining technologies are but a few of the developments that might have a considerable impact on both web 2. In counterpart, as model driven engineering spreads, disciplines like model. The journal semantic web interoperability, usability, applicability is an international and interdisciplinary journal bringing together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. Moreover, there is a need for frameworks which address both, the modeling process and the implementation task and allow a modeldriven, semiautomatic engineering process using case tools. Challenges for the adoption of modeldriven web engineering. Our approach is based on model driven development mdd which aims to change the focus of software development from code to models. We use model driven architecture mda15 which is one of the realizations of mdd to support the relations between platform independent and various platform dependent agent artifacts to develop semantic web agents. Model driven engineering for mas development mdd approachconsiders the models as the main artifacts of software development. Pdf templatebased adaptation of semantic web services with. Applications of ontologies in software engineering web scienceen. First international workshop on transforming and weaving ontologies in model driven engineering.
Owl 2, the web ontology language, is a w3c recommendation with a very comprehensive set. It brings together advances from disciplines like ontologies, description logics, domainspecific modeling, model transformation and ontology engineering to. Semantic technologies for software engineering pp 6298 cite as. The semantic web best practice and deploymentworking groupswbpd in w3c includeda software engineer. Semantic web and modeldriven engineering by fernando s. Oodm 2 is a modeldriven methodology for the developing web applications. However, practitioners interested in integrating ontology technologies and software engineering lack on tool support. Knowledge acquisition, developing the semantics is the bottleneck. Model driven engineering mde is an approach to software engineering and is used more and more in both research and practice.
This work tries to leverage the construction of semantic web applications through the use of omgs model driven architecture mda. We propose an ontologybased engineering methodology for semantic model driven composition and transformation of web service. Most of these findings are from selected papers from the semantic web enabled software engineering swese series of workshops starting from 2005. Finally, our evidence reveals the opportunities of using semantic models for code generation in the light of model driven engineering methods.
Software architecture, model driven development, web services, semantic modelling, ontologies. An annotation tool was developed to manage the knowledge of a group of. Filling the gap between semantic web and model driven. Operational semantics applied to model driven engineering. Linked data for science and industry october 3, 2012. The web information resources are growing explosively in number and volume. Model driven development is a recent approach to developing software systems based on the idea of making models the central artefacts for design representation, analysis, and code generation. Ieee004173 semantic web and modeldriven engineering. Although guidelines for model transformations and implementations of these transformations exist, a comprehensive framework dedicated to fill the gap between model driven engineering and ontology technologies is lacking so far. An abstract metamodel for model driven development of web. Rule languages and inference engines incorporate reasoning capabilities to web information systems. The next enterprise computing era will rely on the synergy between both technologies.
This book examines the synergy between semantic web and modeldriven software development. May 21, 2012 this book examines the synergy between semantic web and model driven software development. The semantic web organizes system knowledge in conceptual domains according to its meaning. Semantic web services are introduced in the second section of this paper. Templatebased adaptation of semantic web services with modeldriven engineering.
A modeldriven approach for describing semantic web services. Defining the semantics of rulebased web applications through model driven development. Ontology driven architectures and potential uses of the. To fix a specific formal semantics for metamodels, it should be defined precisely in. Fernando silva parreiras1, tobias walter1, and gerd gr. Ekaputra1, stefan biffl1 1christian doppler laboratory software engineering integration for flexible automation systems vienna university of technology, vienna, austria.
Finally, our evidence reveals the opportunities of using semantic models for code generation in the light of modeldriven engineering methods. Engineering semantic web applications by using objectoriented paradigm amjad farooq, syed ahsan and abad shah abstract. Landau, germany semantic modeldriven engineering steffen staabacknowledgements. There are, of course, lots of other books on knowledge representation, logic, xml, databases, etc, that are all relevant for the semantic web, but. Gasevic and his coauthors try to fill this gap by detailing how to use modeldriven engineering for ontology development on the semantic web. It explains in detail how to use standards like mda and uml for ontology development and offers the first detailed description of omgs upcoming odm standard. The semantic web and modeldriven engineering are changing the enterprise computing paradigm. The integration of heterogeneous data is a reoccurring problem in different technical spaces. It architectures for industrial control department of automation science and engineering tut w3c web technology day. Engineering semantic web applications by using object.
Semantic scholar profile for dragan djuric, with 100 highly influential citations and 149 scientific research papers. This needs to be explored and experimented further as it has the potential of lifting the burden of software programming expertise from data analysts. There are, of course, lots of other books on knowledge representation, logic, xml, databases, etc, that are all relevant for the semantic web, but adding these to this list would be counter productive. Templatebased adaptation of semantic web services with model driven engineering. Model driven engineering modeling engineering knowledge explicitly and. In the context of this joint work between academia and industry, the authors conduct a survey among hundreds of. Two examples on the proposed idea of the semantic web in systems and software engineering are presented in section 4. In this paper we explore the capabilities of model driven engineering mde and semantic web to contribute to engineering process improvement in pse.
Operational semantics applied to model driven engineering thesis for the degree of master of science. There is much research done on the static aspects of mde and most examples deal with static models. In counterpart, as model driven engineering spreads, disciplines like model transformation and domain speci. Pdf model driven engineering with ontology technologies. Model driven web engineering approaches have become an attractive research and technology solution for web application development. Defining the semantics of rulebased web applications through. Semantic web and modeldriven engineering semantic web is a term coined by world wide web consortium w3c director tim bernerslee describing the methods and technologies that allow machines to understand the meaningor semantic sof information on the world wide web. The main goal of this tutorial is to give an introduction into stateoftheart web engineering methods based on the principles, models, and technologies of both mde and the semantic web.
Scalability of semantic web solutions and their large scale deployment. Semantic modeldriven architecting of servicebased software. In this thesis, we present an abstract meta model for model driven development of web applications targeting multiple platforms. Free research papers and projects on semantic web 2014. Semantic technologies for software engineering, 6th international summer school 2010, dresden, germany, august 30. Director of ieee book and information services bis. Conf, october 2010, eindhoven applying modeldriven engineering for the semantic web s. Twomde 2008 first international workshop on transforming and. W3cs semantic web provides a common framework that allows data to be shared and reused across application and enterprise. A modeldriven engineering approach for ros using ontological.
Call for inuse track papers iswc 2019 semantic web. Part i of their book describes existing technologies, tools, and standards like xml, rdf, owl, mda, and uml. Request pdf semantic web and model driven engineering the next enterprise computing era will rely on the synergy between both technologies. Model driven engineering with ontology technologies. A modeldriven engineering approach for ros using ontological semantics. Modeldriven development is a recent approach to developing software systems based on the idea of making models the central artefacts for design representation, analysis, and code generation. Ieee004173 semantic web and model driven engineering examines the synergy between semantic web and model driven software development.
Twomde 2008 first international workshop on transforming. The main goal of this tutorial is to give an introduction into stateoftheart web engineering methods based on the principles, models, and technologies of. Troubador publishing ltd 119 davinci a modeldriven. It provides a higher level of abstraction and supports domain speci. Semantic modeldriven engineering steffen staab with gerd groner, fernando silva parreiras, tobias walter. Model driven engineering and ontology development book. An ontologybased and modeldriven approach for designing it.
Basics knowledge representation ontologies semantic web model driven architecture modeling spaces. Understanding the role of ontology technologies like knowledge representation, automated reasoning, dy. Defining the semantics of rulebased web applications through modeldriven development. The abstract model is built by extending an existing umlbased model for web applications. Figure 1 illustrates a generic process of model driven engineering. The most wellknown initiatives in this areas are the model driven architecture mda by the omg and the eclipse modeling framework emf. Model driven engineering and ontology development springerlink.
Leveraging the construction of semantic web applications. This book examines the synergy between semantic web and model driven software development. Semantic web enabled software engineering ios press. Although guidelines for model transformations and implementations of these transformations exist, a comprehensive framework dedicated to fill the gap between modeldriven engineering and ontology technologies is lacking so far. Pdf a modeldriven approach for describing semantic web. The taxonomy was proposed purely theoretically, still, to the best of our knowledge. We first define an architecture for semantic web enabled mass and then provide a mas metamodel which consists of the first. A modeldriven engineering approach for ros using ontological semantics stefan zander 1and georg heppner and georg neugschwandtner2 and ramez awad3 and marc essinger 1and nadia ahmed abstractthis paper presents a novel ontologydriven software engineering approach for the development of industrial robotics control software.
With the rise of modeldriven engineering mde, much effort has been spent in developing dedicated transformation languages and accompanying engines to benchmarking the extraction and disambiguation of named entities on the semantic web. It brings together advances from disciplines like ontologies, description logics, domainspecific modeling, model transformation and ontology engineering to take enterprise computing to the next level. For example, the paradigm of modeldriven development proposes that the modeling artifacts. Troubador publishing ltd 119 davinci a modeldriven web. This book details how to use modeldriven engineering for ontology development on the semantic web. Technical strengths and weaknesses especially in comparison with alternative technologies e. Model driven engineering with ontology technologies springerlink. Semantic web volume 1, issue 1,2 journals ios press. Semantic modeldriven development of web service architectures. However, for more than 20 years of development, the industry has not adopted them due to the mismatch between technical versus research requirements.
Semantic web enabled software engineering presents some critical findings on opening a new direction of the research of software engineering, by exploiting semantic web technologies. Abstract model driven engineering mde is an approach to software engineering and is used more and more in both research and practice. Despite its importance, software development still lacks adequate technology in many areas. Integrates two powerful software approaches to dramatically enhance enterprise computing based on the authors own course materials, this book takes enterprise computing to the next level by offering readers a tested and proven method for applying semantic web tools to modeldriven software engineering. Pdf templatebased adaptation of semantic web services. Ontology driven architectures and potential uses of the semantic web in systems and software engineering. Wende, c ontology services for modeldriven software development. Semantic web services methodology and tool extensions.
Semantic web and model driven engineering request pdf. Defining the semantics of rulebased web applications. We propose an ontologybased engineering methodology for semantic modeldriven composition and transformation of web service. This page contains information on books that are strictly on the semantic web and linked data. As the semantic web shapes the future of the web, it becomes more and more important in software engineering and enterprise application development.
Correlation through reasoning provides the utility multidimensional, cross organizational tailored semantic views virtual repository approach enables elimination of redundancy. Filling the gap between semantic web and model driven engineering. Pdf with the wide spread of web services, there is a growing interest in. Semantic web technologies in modeldriven control application. In 8, the authors provided a taxonomy evaluation of different stateoftheart approaches for model driven engineering. Why model driven security will not secure your web application hochreiner, et al. Ieee004173 semantic web and modeldriven engineering examines the synergy between semantic web and modeldriven software development. Semantic modeling for engineering data analytics solutions. Semantic web technologies in modeldriven control application engineering teaching associate david hastbacka, professor seppo kuikka research area.
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