Overview

MORE Business Intelligence Workshops will bring together researchers in conceptual modeling, ontology engineering, knowledge representation, and reasoning with business analysts, developers, managers, and consultants involved in the definition of requirements for, development, use, and evolution of Business Intelligence systems.

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 Business Intelligence systems, and encourages interdisciplinary discussions in all aspects of this field.

Location
Florence, Italy

Date and time
MORE-BI 2012 will be held, starting from 10:30, on Wednesday 17 October 2012, at Grand Hotel Baglioni, Piazza Unità Italiana 6, Firenze.

Program

- Bartosz Bębel, Tadeusz Morzy, Mikołaj Morzy, Zbyszko Królikowski and Robert Wrembel. OLAP-like analysis of time point-bases sequential data.
- Thomas Neuböck, Bernd Neumayr, Thomas Rossgatterer, Stefan Anderlik and Michael Schrefl. Multi-dimensional Navigation Modeling using BI Analysis Graphs.
- Natalia Padilha, Fernanda Baião and Kate Revoredo. Ontology Alignment for Semantic Data Integration through Foundational Ontologies.

Keynote: Modelling and Reasoning Issues in SemCockpit

Michael Schrefl Department of Business Informatics - Data & Knowledge Engineering Johannes Kepler University of Linz, Austria Abstract SemCockpit is an ontology-driven, interactive business intelligence (BI) tool for comparative data analysis. It is developed in a collaborative research project - supported by the Austrian Ministry of Transport, Innovation, and Technology - by researchers from academia and BI industry as well as prospective users from public health insurers. SemCockpit builds on and utilises modelling and reasoning techniques from knowledge-based systems, ontology engineering, and data warehousing to intelligently support the business analyst in her or his analysis task. It allows to complement dimension and fact data by concept definitions capturing relevant business terms and to use these in the definition of measures and scores, to use domain ontologies as semantic dimensions, to represent analysis processes by BI analysis graphs, and to capture and share previous insights through judgment rules. In the talk, I give a general overview of SemCockpit and focus on modelling and reasoning issues not addressed in other specific talks by the SemCockpit team at ER 2012 conference and MORE-BI workshop. Bio Michael Schrefl received his Dipl.-Ing. degree and his Doctorate from Vienna University of Technology, Vienna, Austria, in 1983 and 1988, respectively. During 1983-1984 he studied at Vanderbilt University, USA, as a Fulbright scholar. From 1985 to 1992 he was with Vienna University of Technology. During 1987-1988, he was on leave at GMD IPSI, Darmstadt, where he worked on the integration of heterogeneous databases. He was appointed Professor of Business Informatics at Johannes Kepler University of Linz, Austria, in 1992, and Professor in Computer and Information Science at University of South Australia in 1998. He currently leads the Department of Business Informatics - Data and Knowledge Engineering at Johannes Kepler University of Linz, with projects in business intelligence, semantic systems, and web engineering. Michael is author of more than 100 articles in International Journals and Conference Proceedings. He can be reached at Michael.Schrefl@jku.at.

Topics of interest

We invite theoretical, technical, and practical contributions on the following topics:

- Concepts, relations, ontologies, models of decision information and for decision support
- Modeling languages for decision support
- Modeling languages for business strategy and business analytics
- Data cleaning and quality
- Data integration
- Logical knowledge bases for business intelligence
- Automated reasoning for decision support
- Requirements engineering of business decision processes
- Requirements engineering of business analytics processes
- OLAP and classification
- Collaborative and user-centric modeling for decision support
- Models visualization
- Semantic modeling of decision data in Triple Stores

Purpose and scope

Business intelligence (BI) systems gather, store, and process data to turn it into information that is meaningful and relevant for decision-making in businesses and organizations. The very 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.

MORE Business Intelligence intends to bring together researchers in conceptual modeling, ontology engineering, knowledge representation, and reasoning 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 ontologies, modeling languages, and reasoning 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 Business Intelligence.

Workshop proceedings

Workshop proceedings will be published by Springer-Verlag in the LNCS series.

Important dates

Paper submission (extended): Monday 16th April 2012
Notifications sent: Friday 1st June 2012
Camera-ready papers: Monday 11th June 2012

MORE-BI Steering committee

Ivan Jureta, FNRS & Louvain School of Management
Stéphane Faulkner, Louvain School of Management
Esteban Zimányi, Université Libre de Bruxelles
Marie-Aude Aufaure, Ecole Centrale Paris
Carson Woo, Sauder School of Business

MORE-BI 2012 Program Committee

Contact

For sponsorship inquiries, questions, suggestions, comments, contact Ivan Jureta.

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