ER 2016
The 35th International Conference on Conceptual Modeling
Nov. 14-17, 2016, Gifu, Japan
The 35th International Conference on Conceptual Modeling
Nov. 14-17, 2016, Gifu, Japan
This workshop focuses on Conceptual Modeling as a means for mastering the challenges that emerge with attempts to design and develop systems for assisting humans in their everyday live and in healthy ageing. Special attention will be paid to all aspects from Open Models, via ontological foundations up to model based reasoning. The workshop continues the fruitful discussions started at AHA2015, and aims at bringing together people from academia and practice, and from the open model initiative, to discuss the state of the art, on-going projects and open research questions in the field of modeling for human assistance. Thus, it will be a platform for exchanging ideas and initiating new co-operations and projects.
Due to the enormous amount of data present and growing in the Web and other data sources such as sensors and social networks, there has been an increasing interest in incorporating these huge amounts of external and unstructured data, normally referred to as "Big Data", into traditional applications. We view that several key themes with the Big Data trend include (i) managing big data projects to discover business values; (ii) developing an architecture for a big data environment to conceptualize goals to apply to domains; (iii) exploring problem-solving methods for big data; (iv) using a cloud for managing large-scale external and internal data; and (v) providing an easy-to-use but powerful services to access/manage/analyze the big data in the cloud.
This new era of Big Data and cloud environment requires conceptualization and methods to effectively manage big data and accomplish intended business goals. Thus, the objective of MoBiD'16 is to be an international forum for exchanging ideas on the latest and best proposals for modeling and managing big data in this new data-drive paradigm. Papers focusing on novel applications and using conceptual modeling approaches for any aspects of Big Data such as MapReduce, Hadoop and its ecosystems, Big Data Analytics, social networking, security and privacy, data science approaches, etc. are highly encouraged.
MORE-BI aims to bring together researchers in conceptual modeling, business process modeling and analysis, ontology engineering, artificial intelligence with business analysts, developers, managers, and consultants involved in the definition of requirements for, development, use, and evolution of BI systems. The aim is to initiate discussions and studies in concepts, ontologies, modeling languages, metrics, processes, and methods relevant for the engineering of requirements for, and the engineering and specification of BI systems. These modeling and reasoning techniques will provide more precise and rich information for the end-user, bridging the gap between technical and user-centric tools for BI. The workshop is the first of its kind to provide a forum for both research and practice in the conceptual modeling and reasoning needed for the engineering of BI systems, and encourages interdisciplinary discussions in all aspects of this field.
The MREBA workshop aims to provide a forum for discussing the interplay between Requirements Engineering topics and conceptual modeling, and in particular how requirements modeling can be effectively used as part of business analysis and systems engineering. We ask: What are the fundamental objectives and premises of requirements engineering and conceptual modelling respectively, and how can they complement each other? What conceptual modelling techniques can be taken advantage of in requirements engineering? How can RE modeling be applied successfully in a business environment? What lessons are there to be learnt from industrial experiences? What empirical data are there to support the cost-benefit analysis when adopting RE modeling methods? Are there applications domains or types of project settings for RE/BA modeling approaches are particularly suitable or not? What degree of formalization and automation or interactivity are feasible and appropriate for what types of participants during RE/BA modeling?
Information Systems practices are evolving rapidly in the Internet age. We are witnessing the emergence of collaborative designs, user generated contents, crowdsourcing information systems and other non-traditional methods based Information systems. Consequently, a new challenge facing the researchers as well as practitioners is how to ensure the quality of such systems?
The QMMQ workshop series intend to provide a space for fruitful exchanges involving both researchers and practitioners having a variety of interests such as: data quality, information quality, system quality as well as models, methods, processes and tools for managing quality. The aim of the workshop is twofold. Firstly, to provide an opportunity for researchers and industry developers working on various aspects of information systems quality to exchange research ideas and results and discuss them. Secondly, to promote research on information systems and conceptual modeling quality to the broader conceptual modeling research community attending ER 2016.
This workshop aims to bring together researchers and practitioners in the areas of modeling for secure and privacy-aware software development to exchange ideas and preliminary results. Topics of interests are as follows but not limited to them: Secure requirements models and modeling, secure architecture models and modeling, privacy-aware requirements models and modeling, privacy-aware architecture models and modeling, pattern-based security and privacy modeling, knowledge bases for secure and/or privacy-aware software development, modeling tools for secure and privacy-aware software development, and experiences in secure and/or privacy-aware software development. Several sessions on related topics will be organized where researchers give presentations of their work followed by in-depth discussions. A plenary session will discuss future research themes in this field.