Brian Elvesæter
SINTEF
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Publication
Featured researches published by Brian Elvesæter.
IESA | 2007
Arne-Jørgen Berre; Brian Elvesæter; Nicolas Figay; Claudia Guglielmina; Svein G. Johnsen; Dag Karlsen; Thomas Knothe; Sonia Lippe
In this paper we present results from the ATHENA Integrated Project in defining the ATHENA Interoperability Framework (AIF) for enterprise applications and software systems. The AIF provides a compound framework and associated reference architecture for capturing the research elements and solutions to interoperability issues that address the problem in a holistic way. The AIF also provides an associated methodological framework which describes the approach towards interoperability from the decision to evaluate collaboration until solution maintenance, and the reference guidelines for the adoption of the reference architecture.
I-ESA | 2007
Gorka Benguria; Xabier Larrucea; Brian Elvesæter; Tor Neple; Anthony P. Beardsmore; Michael Friess
Gorka Benguria, European Software Institute, Parque Tecnologico de Zamudio, E48170 Zamudio-Bizkaia, Spain, [email protected] Xabier Larrucea, European Software Institute, Parque Tecnologico de Zamudio, E48170 Zamudio-Bizkaia, Spain, [email protected] Brian Elvesaeter, SINTEF ICT, Cooperative and Trusted Systems, P. O. Box 124 Blindern, N-0314 Oslo, Norway, [email protected] Tor Neple, SINTEF ICT, Cooperative and Trusted Systems, P. O. Box 124 Blindern, N-0314 Oslo, Norway, [email protected] Anthony Beardsmore, IBM United Kingdom Limited, MP 127, Hursley Park, Winchester, SO21 2JN, England, [email protected] Michael Friess, IBM Deutschland Entwicklung GmbH, Germany, [email protected]
Archive | 2006
Brian Elvesæter; Axel Hahn; Arne-Jørgen Berre; Tor Neple
This paper presents an interoperability framework for model-driven development of enterprise applications and software systems. The framework provides a foundation for how to apply MDD in software engineering disciplines in order to support the business interoperability needs of an enterprise. The framework introduces reference models for conceptual integration, technical integration and applicative integration of software systems.
Proceedings of the First International Workshop on Model-Driven Interoperability | 2010
Brian Elvesæter; Dima Panfilenko; Sven Jacobi; Christian Hahn
In this paper, we introduce the new Service oriented architecture Modeling Language (SoaML) and describe how the language can be used to align business models and IT models. In particular we provide a mapping specification from BPMN models to SoaML models.
Archive | 2011
Brian Elvesæter; Cyril Carrez; Parastoo Mohagheghi; Arne-Jørgen Berre; Svein G. Johnsen; Arnor Solberg
This chapter presents a model-driven service engineering (MDSE) methodology that uses OMG MDA specifications such as BMM, BPMN and SoaML to identify and specify services within a service-oriented architecture. The methodology takes advantage of business modelling practices and provides a guide to service modelling with SoaML. The presentation is case-driven and illuminated using the telecommunication example. The chapter focuses in particular on the use of the SoaML modelling language as a means for expressing service specifications that are aligned with business models and can be realized in different platform technologies.
multiagent system technologies | 2006
Ingo Zinnikus; Gorka Benguria; Brian Elvesæter; Klaus Fischer; Julien Vayssière
Business process management has been identified as an interesting application area for agent technologies. Current developments in Web technologies support the execution of business processes in a networked environment. In this context, the flexible composition and usage of services in a service-oriented environment is a key feature. Additionally, the model-driven architecture (MDA) idea of transforming models on different abstraction levels, from highly abstract design-oriented views to an executable program, is a current trend in business process modeling. BDI agents provide a framework for both aspects by employing a planning from second principles approach, which uses a predefined library of plans and instantiates and adapts these plans. From this perspective, plans are design-time models for agent task execution and for Web Service composition. This paper presents a Rapid Prototyping framework for SOAs built around a Model-Driven Development methodology which we use for transforming high-level specifications of an SOA into executable artefacts, both for Web Services (WSDL files) and for BDI agents. The framework was designed to handle a mix of new and existing services and provides facilities for simulating, logging, analysing and debugging. Our framework was validated on a real industrial electronic procurement scenario in the furniture manufacturing industry. Once input from business experts had been collected, creating the high-level PIM4SOA (Platform Independent Model for SOA) model, deriving the Web service description and incorporating existing Web services took less than a day for a person already familiar with the techniques and tools involved. We show that rapid prototyping of SOAs is possible without sacrificing the alignment of the prototype with high-level architectural constraints.
Sprachwissenschaft | 2017
Dumitru Roman; Nikolay Nikolov; Antoine Pultier; Dina Sukhobok; Brian Elvesæter; Arne J. Berre; Xianglin Ye; Marin Dimitrov; Alex Simov; Momchill Zarev; Rick Moynihan; Bill Roberts; Ivan Berlocher; Seon-Ho Kim; Tony Lee; Amanda Smith; Tom Heath
This paper introduces DataGraft (https://datagraft.net/) – a cloud-based platform for data transformation and publishing. DataGraft was developed to provide better and easier to use tools for data workers and developers (e.g. open data publishers, linked data developers, data scientists) who consider existing approaches to data transformation, hosting, and access too costly and technically complex. DataGraft offers an integrated, flexible, and reliable cloud-based solution for hosted open data management. Key features include flexible management of data transformations (e.g. interactive creation, execution, sharing, reuse) and reliable data hosting services. This paper provides an overview of DataGraft focusing on the rationale, key features and components, and evaluation.
international semantic web conference | 2016
Dumitru Roman; Marin Dimitrov; Nikolay Nikolov; Antoine Putlier; Dina Sukhobok; Brian Elvesæter; Arne J. Berre; Xianglin Ye; Alex Simov; Yavor Petkov
In this demonstrator we introduce DataGraft – a platform for Open Data management. DataGraft provides data transformation, publishing and hosting capabilities that aim to simplify the data publishing lifecycle for data workers (i.e., Open Data publishers, Linked Data developers, data scientists). This demonstrator highlights the key features of DataGraft by exemplifying a data transformation and publishing use case with property-related data.
international conference on interoperability for enterprise software and applications china | 2009
Arne-Jørgen Berre; Fangning Liu; Jiucheng Xu; Brian Elvesæter
This paper presents an approach for comparing two architectures for ontology-based semantic annotation for service interoperability, the EMPOWER archi-tecture using platform specific XML-based technologies and the MEMPOWER architecture extending this with platform independent Model Driven Architecture (MDA) based technologies. We will compare the two architectures with respect to pilot requirements and experienced advantages and challenges for model driven systems. The two approaches are being evaluated based on examples from interoperability between ERP-systems in a Buyer/Seller interaction context.
enterprise distributed object computing | 2013
Arne J. Berre; Yannick Lew; Brian Elvesæter; Henk de Man
It is shown how a service-oriented and model-based approach for Enterprise Architecture and Enterprise Engineering can provide agile support for the different abstraction and modeling levels from business model and service innovation to cloud-based service realisation. Business model innovation is supported with a basis in a business model framework with six views, where each view is supported by a corresponding diagram from the Value Delivery Modeling Language (VDML). Service innovation is supported by the Service Modeling Language (ServiceML), which shares the core collaboration models of VDML for role modeling and value networks, according to the five views of the AT-ONE service innovation method. Service realisation is supported by further transformation to SoaML and a model-based service execution platform. This approach presents a framework using the emerging OMG standard language VDML together with ServiceML for service design and engineering, relating value models, process models, user interface and interaction flow models, and service architectures and service contract models.