Maturity Model for Interoperability Potential Measurement

Interoperability potential concerns the preparation level of an enterprise to establish an efficient collaboration with possible part- ners. In order to improve their interoperability, enterprises need to know witch level of maturity they have achieved. This article pro- poses a complete maturity model composed by a methodology and a reference set of parameters to measure interoperability potential. In order to clarify the proposal, an example of application in a real case is described.Campos, C.; Chalmeta, R.; Grangel, R.; Poler Escoto, R. (2013). Maturity Model for Interoperability Potential Measurement. Information Systems Management. 30(3):218-234. doi:10.1080/10580530.2013.794630S218234303Alfaro, J. J., Rodriguez-Rodriguez, R., Verdecho, M. J., & Ortiz, A. (2009). Business process interoperability and collaborative performance measurement. International Journal of Computer Integrated Manufacturing, 22(9), 877-889. doi:10.1080/09511920902866112Sabucedo, L. Á., & Rifón, L. A. (2010). Managing Citizen Profiles in the Domain of e-Government: The cPortfolio Project. Information Systems Management, 27(4), 309-319. doi:10.1080/10580530.2010.514181Berre, A.-J., Elvesæter, B., Figay, N., Guglielmina, C., Johnsen, S. G., Karlsen, D., … Lippe, S. (s. f.). The ATHENA Interoperability Framework. Enterprise Interoperability II, 569-580. doi:10.1007/978-1-84628-858-6_62Blanc, S., Ducq, Y., & Vallespir, B. (2007). Evolution management towards interoperable supply chains using performance measurement. Computers in Industry, 58(7), 720-732. doi:10.1016/j.compind.2007.05.011Campos, C., Martí, I., Grangel, R., Mascherpa, A. and Chalmeta, R. A methodological proposal for the development of an interoperability framework.Model Driven Interoperability for Sustainable Information Systems (MDISIS′08) (CAiSE′08). Vol. 340, pp.47–57. CEUR-WS. http://ceur-ws.org/Vol-340/paper04.pdfChalmeta, R., & Grangel, R. (2005). Performance measurement systems for virtual enterprise integration. International Journal of Computer Integrated Manufacturing, 18(1), 73-84. doi:10.1080/0951192042000213164Doumeingts, G. and Chen, D. Basic concepts and approaches to develop interoperability of enterprise applications.PRO-VE,IFIP Conference Proceedings. Edited by: Camarinha-Matos, L. M. and Afsarmanesh, H. Vol. 262, pp.323–330. Norwell, MA: Kluwer.Duque, A., Campos, C., Jimenez-Ruiz, E. and Chalmeta, R. An ontological solution to supprot interoperability in the textile industry.Second IFIP WG 5.8 International Workshop, IWEI 2009. Edited by: Poler, M. V. S. R. Vol. 38, pp.38–51. New York: Springer.Guédria, W., Naudet, Y., & Chen, D. (2008). Interoperability Maturity Models – Survey and Comparison –. Lecture Notes in Computer Science, 273-282. doi:10.1007/978-3-540-88875-8_48Hoving, R. (2007). Information Technology Leadership Challenges — Past, Present, and Future. Information Systems Management, 24(2), 147-153. doi:10.1080/10580530701221049Palomares, N., Campos, C., & Palomero, S. (2010). How to Develop a Questionnaire in Order to Measure Interoperability Levels in Enterprises. Enterprise Interoperability IV, 387-396. doi:10.1007/978-1-84996-257-5_36Walsham, G. (1995). Interpretive case studies in IS research: nature and method. European Journal of Information Systems, 4(2), 74-81. doi:10.1057/ejis.1995.

Impact Evaluation of Interoperability Decision Variables on P2P Collaboration Performances

This article deals with the impact evaluation of interoperability decision variables on performance indicators of business processes. The case of partner companies is studied to show the interest of an Interoperability Service Utility (ISU) on business processes in a peer to peer (P2P) collaboration. Information described in the format and the ontology of a broadcasting entity is transformed by ISU into information with the format and the ontology of the receiving entity depending on the available resources of interoperation. These resources can be human operators with defined skill level or software modules of transformation in predefined languages. A design methodology of a global simulation model for estimating the impact of interoperability decision variables on performance indicators of business processes is proposed. Its implementation in an industrial case of collaboration shows its efficiency and its interest to motivate an investment in the technologies of enterprise interoperability

An Analysis of Service Ontologies

Services are increasingly shaping the world’s economic activity. Service provision and consumption have been profiting from advances in ICT, but the decentralization and heterogeneity of the involved service entities still pose engineering challenges. One of these challenges is to achieve semantic interoperability among these autonomous entities. Semantic web technology aims at addressing this challenge on a large scale, and has matured over the last years. This is evident from the various efforts reported in the literature in which service knowledge is represented in terms of ontologies developed either in individual research projects or in standardization bodies. This paper aims at analyzing the most relevant service ontologies available today for their suitability to cope with the service semantic interoperability challenge. We take the vision of the Internet of Services (IoS) as our motivation to identify the requirements for service ontologies. We adopt a formal approach to ontology design and evaluation in our analysis. We start by defining informal competency questions derived from a motivating scenario, and we identify relevant concepts and properties in service ontologies that match the formal ontological representation of these questions. We analyze the service ontologies with our concepts and questions, so that each ontology is positioned and evaluated according to its utility. The gaps we identify as the result of our analysis provide an indication of open challenges and future work

Quality-aware model-driven service engineering

Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Quality aspects ranging from interoperability to maintainability to performance are of central importance for the integration of heterogeneous, distributed service-based systems. Architecture models can substantially influence quality attributes of the implemented software systems. Besides the benefits of explicit architectures on maintainability and reuse, architectural constraints such as styles, reference architectures and architectural patterns can influence observable software properties such as performance. Empirical performance evaluation is a process of measuring and evaluating the performance of implemented software. We present an approach for addressing the quality of services and service-based systems at the model-level in the context of model-driven service engineering. The focus on architecture-level models is a consequence of the black-box character of services

Advanced Techniques for Assets Maintenance Management

16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018 Bergamo, Italy, 11–13 June 2018. Edited by Marco Macchi, László Monostori, Roberto PintoThe aim of this paper is to remark the importance of new and advanced techniques supporting decision making in different business processes for maintenance and assets management, as well as the basic need of adopting a certain management framework with a clear processes map and the corresponding IT supporting systems. Framework processes and systems will be the key fundamental enablers for success and for continuous improvement. The suggested framework will help to define and improve business policies and work procedures for the assets operation and maintenance along their life cycle. The following sections present some achievements on this focus, proposing finally possible future lines for a research agenda within this field of assets management

Pragmatic interoperability in the enterprise : a research agenda

Eective collaboration among today's enterprises is indispensable. Such collaborative synergy is important to foster the creation of innovative value-added products and services that would have otherwise been dicult to achieve if enterprises work in isolation. However, it is a widely held belief that interoperability problems have been one of the perennial hurdles in achieving such collaboration. This research aims to improve the current state of the art in enterprise interoperability research by zeroing in on the notion of pragmatic interoperability(PI). When enterprise systems collaborate by exchanging information, PI goes beyond the compatibility between the structure and the meaning of shared information, it further ensures that the intended eect of the message exchange is realized. This paper outlines our research agenda to address the analysis, design, development and evaluation of a pragmatically interoperable solution for enterprise collaboration

Data DNA: The Next Generation of Statistical Metadata

Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users

Quality measurement of semantic standards

Quality of semantic standards is unadressed in current research while there is an explicit need from standard developers. The business importance is evident since quality of standards will have impact on its diffusion and achieved interoperability in practice. An instrument to measure the quality of semantic standards is designed to contribute to the knowledge domain, standards developers and might ultimo lead to improved interoperability. This instrument is iteratively designed with multiple case studies. This paper describes the rationale and research design, just as current status and future plans