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 systems engineering

Human Interactions with business intelligence

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

Submission

Papers can be submitted via easy-chair: https://easychair.org/conferences/?conf=morebi18

MORE-BI Steering committee

MORE-BI Organizing committee

MORE-BI 2018 Program Committee

Contact

For sponsorship inquiries, questions, suggestions, comments, contact Corentin Burnay.

Sponsored by

JTT Management consultants.