On the Move to Meaningful Internet Systems: OTM 2015 Workshops: Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Rhodes, Greece, October 26-30, 2015. Proceedings

International audienceThis volume constitutes the refereed proceedings of the following 8 International Workshops: OTM Academy; OTM Industry Case Studies Program; Enterprise Integration, Interoperability, and Networking, EI2N; International Workshop on Fact Based Modeling 2015, FBM; Industrial and Business Applications of Semantic Web Technologies, INBAST; Information Systems, om Distributed Environment, ISDE; Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society, META4eS; and Mobile and Social Computing for collaborative interactions, MSC 2015. These workshops were held as associated events at OTM 2015, the federated conferences "On The Move Towards Meaningful Internet Systems and Ubiquitous Computing", in Rhodes, Greece, in October 2015.The 55 full papers presented together with 3 short papers and 2 popsters were carefully reviewed and selected from a total of 100 submissions. The workshops share the distributed aspects of modern computing systems, they experience the application pull created by the Internet and by the so-called Semantic Web, in particular developments of Big Data, increased importance of security issues, and the globalization of mobile-based technologies

A Virtual factory data model as a support tool for the simulation of manufacturing systems

The design of a manufacturing systems is a complex and critical activity entailing decisions with an impact on a long time horizon and a major commitment of financial resources. Indeed, the modelling, simulation and evaluation of manufacturing systems are relevant activities both in the design and the operational phases of a factory. This paper grounds on the results of the Virtual Factory Framework (VFF) Project and addresses the use of an ontology based model of a production system to support the construction of a performance evaluation model

Enhancing the security of RCIA ultra-lightweight authentication protocol by using random number generator (RNG) technique

With the growing demand for low-cost Radio Frequency Identification (RFID) system, there is a necessity to design RFID ultra-lightweight authentication protocols to be compatible with the system and also resistant against possible attacks. However, the existing ultra-lightweight authentication protocols are susceptible to wide range of attacks. This study is an attempt to enhance the security of Robust Confidentiality, Integrity, and Authentication (RCIA) ultra-lightweight authentication protocols especially with regard to privacy issue. In the RCIA protocol, IDs value is sent between reader and tag as a constant value. The constant value will enable attacker to trace the location of the tag which violates the privacy users. In order to enhance the security of RCIA protocol, Random Number Generator (RNG) technique has been used. This technique relies on generating random numbers in the tag side, based on Bitwise operations. The idea of this technique is to change the IDs of a tag on every query session so that it will not stay as a constant value. The implementation of Enhanced RCIA has been conducted by using a simulation. The simulation provided the ability to show that the operations of RCIA protocol as to compare with the enhanced RCIA. The outcome shows that the enhanced RCIA outperforms existing one in terms of privacy

Organizational knowledge extraction from business process models = Szervezeti tudás kinyerése üzleti folyamatmodellekből

My research area is dedicated to the challenges of knowledge extraction from business processes. I analyzed the opportunities of knowledge extraction based on the literature, my research background and practical experiences. I am proposing a solution to extract, organize and preserve knowledge embedded in organizational processes to enrich the organizational knowledge base in a systematic and controlled way. My other research problem is how to organize the extracted knowledge, what are the appropriate ICT solutions, environment for it. I reviewed theoretical foundations of related fields, like business process management, semantic technology, semantic business process management and ontologies. Ontologies play a key role in semantic business process management, because they provide the structure for organizational knowledge. Therefore I discussed their background detailed in the literature review section. I have identified the requirements in the business process modeling level to be able to use a complex process model as a base of creating the links between the process models and the domain ontology. The novelty of the solution is based on the connection between process model and corporate knowledge, where the process structure will be extended with the annotation for knowledge structure. The resulting process and domain ontology duplet enables a higher level of automation for IT implementation and a wider range of possibilities for machine-reasoning. The research outcome is going to be tested in a reference architecture, where the main goal is to create a supporting infrastructure capable to conduct multi-lateral searches especially for the purpose to support employees to easily acquire their job role specific knowledge, but there are wider areas for application. The resulting knowledge repository holds multilateral information specifically for the viewpoints of organizational stakeholders and IT systems. The proposed solution support employees to easily acquire their job role specific knowledge, support IT departments to efficiently answer the challenge of changes to be applied at different processes, and knowledge engineers to have a better insight into the organizations’ knowledge environment

Dynamic Context Modeling for Agile Case Management

International audienceCase Management processes are characterized by their high unpredictability and, thus, cannot be handled following traditional process- or activity-centered approaches. Adaptive Case Management paradigm proposes an alternative data-centered approach for management such processes. In this paper, we elaborate on this approach and explore the role of context data in Case Management. We use the state-oriented representation of the process that allows us to incorporate the contextual information in a systematic and transparent way, leading towards agile case management

ISO 11354-2 FOR THE EVALUATION OF EHEALTH PLATFORMS

Open software platforms are a recent innovation in the healthcare sector to foster integrated care scenarios. An important quality feature to facilitate innovation and to create an active platform ecosystem is openness. The openness is strongly influenced by the interoperability potential of the platforms. Hence, the assessment of the interoperability potential is a crucial task for evaluating the quality of platforms. However, there is a need for methodological support fostering the evaluation of eHealth platforms. Based on a design science research approach, the article shows, how the Maturity Model for Enterprise Interoperability (ISO 11353-2) can be instantiated in the healthcare domain. We describe a quantitative evaluation model which operationalizes the evaluation process of eHealth platforms. The contribution purposes to improve the transparency and reliability of the evaluation process. Furthermore, the introduced approach reduces the dependence on an evaluation team and facilitates the implementation of assessments

Encoding conformance checking artefacts in SAT

Conformance checking strongly relies on the computation of artefacts, which enable reasoning on the relation between observed and modeled behavior. This paper shows how important conformance artefacts like alignments, anti-alignments or even multi-alignments, defined over the edit distance, can be computed by encoding the problem as a SAT instance. From a general perspective, the work advocates for a unified family of techniques that can compute conformance artefacts in the same way. The prototype implementation of the techniques presented in this paper show capabilities for dealing with some of the current benchmarks, and potential for the near future when optimizations similar to the ones in the literature are incorporated.Peer ReviewedPostprint (author's final draft

Foundational Ontologies meet Ontology Matching: A Survey

Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine learning. The role of foundational ontologies for ontology matching is an important one. It is multifaceted and with room for development. This paper presents an overview of the different tasks involved in ontology matching that consider foundational ontologies. We discuss the strengths and weaknesses of existing proposals and highlight the challenges to be addressed in the future