MORE BI 2015 - 3rd International Workshop on Modeling and Reasoning for Business Intelligence

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
Stockholm, Sweden
Topics of interest
We invite theoretical/technical/practical contributions on the following topics:
Business management 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
Data storage and analysis
Data treatment and integration / ETL
Requirements for data warehouse
Logical knowledge bases for business intelligence
Automated reasoning for decision support
Requirements engineering of business decision / analytics processes
OLAP and classification
Exploiting data from social networks / media
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 (BI) 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, which is meaningful and relevant for management decision-making. The strong and continuously growing interest in industry in the engineering of BI systems is a response to the inefficiencies arising from the difficulties of finding in meaningful form the data that can relevantly inform decision-making.
Successful engineering, use, and evolution of BI systems 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 BI systems, the conceptual modeling of requirements for BI 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 BI systems.
Beside classical engineering questions, new challenges arise for BI systems, to which conceptual modeling, databases, ontology engineering and artificial intelligence communities could provide relevant answers. It is the case for example of the integration of BI systems to social media and social networks, of real-time presentation of information produced by the BI system, of self-service access to BI outputs, etc.
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.
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: Monday 23nd March 2015
Paper submission: Monday 6th April 2015
Notifications sent: Monday 18th May 2015
Camera-ready papers: Monday 25th May 2015
Submission
Papers can be submitted via easy-chair: https://easychair.org/conferences/?conf=morebi15
MORE-BI Organizing committee
Ivan J. Jureta - FNRS & University of Namur, Belgium
Corentin Burnay - FNRS & University of Namur, Belgium
Stéphane Faulkner - University of Namur, Belgium
Sarah Bouraga - University of Namur, Belgium
MORE-BI Steering committee
Ivan J. Jureta - FNRS & University of Namur, Belgium
Stéphane Faulkner - University of Namur, Belgium
Esteban Zimányi - Université Libre de Bruxelles
MORE-BI 2015 Program Committee
Alberto Abelló - Universitat Politècnica de Catalunya
Ladjel Bellatreche - Ecole Nationale Supérieure de Mécanique et d'Aérotechnique
Sandro Bimonte - Cemagref
Olivier Corby - INRIA
Alfredo Cuzzocrea - ICAR-CNR and University of Calabria
Marin Dimitrov - Ontotext
Neil Ernst - University of British Columbia
Cécile Favre - Université Lyon 2
Paolo Giorgini - University of Trento
Jennifer Horkoff - University of Trento
Dimitris Karagiannis - University of Vienna
Alexei Lapouchnian - University of Trento
Sotirios Liaskos - York University
Isabelle Linden - University of Namur
Patrick Marcel - Université François Rabelais de Tours
Jose-Norberto Mazón - University of Alicante
Anna Perini - Fondazione Bruno Kessler
Stefano Rizzi - University of Bologna
Catherine Roussey - Université de Lyon
Monique Snoeck - Katholieke Universiteit Leuven
Thodoros Topaloglou - University of Toronto
Juan-Carlos Trujillo Mondéjar - University of Alicante
Robert Wrembel - Poznań University of Technology
Contact
For sponsorship inquiries, questions, suggestions, comments, contact Ivan Jureta ivan.jureta-AT-unamur.be.