Overview
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.
Location
Tallinn, Estonia
Dates
From 11th to 15th June 2018
Topics of interest
We will call for different types of papers in the call for paper, including theory, validation, position and case study contributions, on the following topics:
Business management, Big Data and BI
- BI and corporate strategy
- BI and IT strategy
- BI Business processes
- BI and management practices
- BI and organisational structures
- BI and key performance indicators
- Impact of BI on management decision-making
BI systems engineering
- Modeling languages for decision support
- Modeling languages for business strategy and business analytics
- Mappings Between Business and Conceptual Schemas
- Business and BI alignment
- Integrated management of business intelligence architecture
- Agile methodologies for business intelligence
- Software product line and business intelligence
- Collaborative and user-centric modeling for decision support
Human Interactions with business intelligence
- Models visualization
- Personalization and self-service reporting
- Visual querying
- Mobile business intelligence
- Real-time business intelligence
- In-memory processing
Purpose and scope
Business Intelligence and Big Data (we will call them advanced data systems, or ADS) refers to concepts, methods, and software used to gather, store, and process the heterogeneous data of a company, for the purpose of turning it into information or patterns, which is meaningful and relevant for management decision-making. The strong and continuously growing interest in industry in the engineering of ADS, and more particularly in Big Data, is a response to the inefficiencies arising from the difficulties of finding meaningful outputs from the data at hand in a company that could relevantly inform decision-making.
Successful engineering, use, and evolution of ADS however require a deep understanding of the requirements of decision-making processes in organizations, of the kinds of information used and produced in these processes, of the ways in which information can be obtained through acquisition and reasoning on data, of the transformations and analyses of that information, of how the necessary data can be acquired, stored, cleaned, how its quality can be improved, and of how heterogeneous data can be used together. The identification and analysis of concepts and relations relevant for the various steps in the engineering of ADS, the conceptual modeling of requirements for data systems, of the data used and produced by them, of the transformations and analyses of data, are only some of the topics to which researchers and practitioners of conceptual modeling can contribute, in the aim of constructing theoretically sound and practically applicable models and reasoning facilities to support the engineering of Business Intelligence and Big Data systems.
Beside classical engineering questions, new challenges arise for ADS, to which conceptual modeling, databases, ontology engineering and artificial intelligence communities could provide relevant answers. It is the case for example of the use of business strategic and value models for a better alignment of data systems with corporate strategy, or the use of decision-making models to better support the design and use of BI reports, dashboards, Data mining algorithms, etc.
MORE-BI is an academic workshop which 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 data systems. Beside regular paper presentations, we plan to invite local businesses to come and showcase their data tools in 30-60 minutes sessions, as a way to stimulate discussion about data and conceptual modeling. Ultimately, 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 and Big data 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.
Workshop proceedings
We solicit three types of papers: full papers (10 pages max), including technical papers and empirical evaluations (case studies, experience reports, surveys); position or vision papers (6 pages max); and industrial problem statements (6 pages max). We aim for a highly interactive forum with an emphasis on discussion. The working language is English. Workshop proceedings will be published by Springer-Verlag in the LNCS series. Thus, authors must submit manuscripts using the Springer-Verlag LNCS style for Lecture Notes in Computer Science. See http://www.springer.de/comp/lncs/authors.html for style files and details.
Important dates
- Abstract submission: 18 February 2018
- Workshop papers submission deadline: 4 March 2018
- Notification of acceptance: 6 April 2018
- Camera-ready submission deadline: 13 April 2018
Submission
Papers can be submitted via easy-chair: https://easychair.org/conferences/?conf=morebi18
MORE-BI Steering committee
- Ivan J. Jureta - FNRS & University of Namur, Belgium
- Corentin Burnay - FNRS & University of Namur, Belgium
- Stéphane Faulkner - University of Namur, Belgium
MORE-BI Organizing committee
- Sarah Bouraga (sarah.bouraga@unamur.be), University of Namur, Belgium
- Corentin Burnay (corentin.burnay@unamur.be), University of Namur, Belgium
- Joseph Gillain (joseph.gillain@unamur.be), University of Namur, Belgium
- Ivan J. Jureta (ivan.jureta@unamur.be), FNRS & University of Namur, Belgium.
MORE-BI 2018 Program Committee
- Alberto Abelló - Universitat Politècnica de Catalunya
- Ladjel Bellatreche - Ecole Nationale Supérieure de Mécanique et d'Aérotechnique
- Sandro Bimonte - Irstea
- Alfredo Cuzzocrea - ICAR-CNR and University of Calabria
- Neil Ernst - Carnegie Mellon University
- Cécile Favre - Université Lyon 2
- Jennifer Horkoff - City University London
- Dimitris Karagiannis - University of Vienna
- Alexei Lapouchnian - University of Trento
- Isabelle Linden - University of Namur
- Patrick Marcel - Université François Rabelais de Tours
- Jose-Norberto Mazón - University of Alicante
- Catherine Roussey - Université de Lyon
- Thodoros Topaloglou - Rouge Valley Health System and University of Toronto
- Juan-Carlos Trujillo Mondéjar - University of Alicante
- Robert Wrembel - Poznań University of Technology
Contact
For sponsorship inquiries, questions, suggestions, comments, contact Corentin Burnay.
Sponsored by
