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Monday, October 19

2:15pm CEST

Tutorial 1 - Can Domain Modeling be Automated? Levels of Automation in Domain Modeling

Domain models are representations of areas of knowledge describing phenomena, requirements, problems, capabilities, and solutions. The creation of domain models is challenging. In this tutorial we will review some ways to automate domain modeling and discuss the boundaries of automation in this context. We will concentrate on an ontological and conceptual approach, called SOVA, which primarily examines domain behaviors.

The main goals of the tutorial are:

  1. To expose the audience to existing studies that deal with (semi-)automatic domain modeling
  2. To introduce an ontological and conceptual approach to conduct behavioral domain modeling
  3. To discuss the benefits and deficiencies of automatic domain modeling

avatar for Iris Reinhartz-Berger

Iris Reinhartz-Berger

Iris Reinhartz-Berger is a senior lecturer at the Department of Information Systems, Haifa University, Israel. She received her PhD in Information Management Engineering from the Technion, Israel Institute of Technology. Her research interests include conceptual modeling, domain analysis... Read More →

Monday October 19, 2015 2:15pm - 3:45pm CEST
L70 Borgarfjordsgatan 10

2:15pm CEST

Tutorial 2 - Novel Way of Training Conceptual Modeling Skills by Means of Feedback-enabled Simulation

Learning requirements analysis and validation through conceptual modeling is very hard. Experienced analysts manage to mentally picture (i.e. simulate) the future information system in their mind while analyzing and validation requirements. This skill is very hard to achieve by junior requirements engineers. Not surprisingly, computer-based simulation has been proven to be an excellent technique in assisting juniors in understanding complex systems. However, the practical use of computer-based simulation is hampered by the difficulty of swiftly generating simulations out of conceptual models and the difficulty of interpreting simulation results. This tutorial reviews the challenges in teaching conceptual modeling and model simulation, and the gains that can be obtained when using feedback-enabled simulation. The tutorial is based on a novel, award winning and scientifically proven method that boosts the learning achievements in conceptual modeling.

avatar for Gayane Sedrakyan

Gayane Sedrakyan

Gayane Sedrakyan is a PhD researcher at KU Leuven. She got master degrees in Management Information Systems from KU Leuven, Belgium, 2012 and Computer and Information Science from American University of Armenia, 2007. She received an award in the nomination of “Best master student... Read More →
avatar for Monique Snoeck

Monique Snoeck

Monique Snoeck holds a PhD in computer science from the KU Leuven. She is full professor in the Department of Decision Sciences and Information Management of the Faculty of Economics and Business of the KU Leuven and visiting professor at the University of Namur (UNamur). Her research... Read More →

Monday October 19, 2015 2:15pm - 3:45pm CEST
Lilla Hörsalen
Tuesday, October 20

2:00pm CEST

Tutorial 3 - Ensemble Modeling
Ensemble Modeling is a form of modeling that takes into account the need for modeling agility - or the ability to adapt quickly and easily to change.  This is particularly useful for data warehousing applications but is also useful for other data integration initiatives.  The technique itself can be applied to conceptual, logical and physical modeling efforts.  The context describing a keyed instance of a concept is split out into several tables and this Unified Decomposition is helpful when integrating and aligning context at both the conceptual and the logical levels.

Over the past decade Ensemble Modeling techniques have gained momentum around the world.  The most common forms of Ensemble are Data Vault and Anchor Modeling.

avatar for Hans Hultgren

Hans Hultgren

Hans Patrik Hultgren is a Data Warehousing and Business Intelligence educator, author, trainer, and advisor.  Hans is currently working on Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on modeling and architecture including Ensemble and Data Vault modeling... Read More →

Tuesday October 20, 2015 2:00pm - 3:30pm CEST
L70 Borgarfjordsgatan 10

4:00pm CEST

Tutorial 4 - Relationships Reification: Modeling Experiences and Novel Ontology-Based Techniques

In this tutorial, we present a novel ontological theory of relationships and explore its consequences in addressing a number of important and recurrent conceptual modeling problems. These problems range from identity and modality of relationships, taxonomic structures over relations and systematic ambiguity in cardinality constraints.

1. Relations and relationships

2. The needs for reification
2.1 The relation attribute problem
2.2 The cardinality problem
2.3 The problem of anadic relations

3. The nature of reified relationships: Identity and Modality
3.1 Relationships as tuples
3.2 Relationships a facts
3.3 Relationships as episodes (perdurants)
3.4 Relationships as objects (endurants)

4. Ontological patterns involving Relations
4.1 Ontological Meta-Properties and Taxonomic Structures over Relations
4.2 Relation Specialization, Subsetting and Redefinition with an ontological twist
4.3 Ontological Anti-Patterns involving Relations and Reified Relationships

5. Concrete Examples (including a Commitment-Based Service Ontology)

6. Summary of various positions in the literature

avatar for Nicola Guarino

Nicola Guarino

Nicola Guarino is research director at the Institute for Cognitive Sciences and Technologies of the Italian National Research Council (ISTC-CNR), where he leads the Laboratory for Applied Ontology (LOA), a section of the Institute located in Trento. Since 1991 he has been playing... Read More →
avatar for Giancarlo Guizzardi

Giancarlo Guizzardi

Giancarlo Guizzardi holds a PhD (with the highest distinction) in Computer Science from the University of Twente, in The Netherlands. He is the head of the Ontology and Conceptual Modeling Group (NEMO) in Brazil and an Associate Researcher at the Laboratory of Applied Ontology (ISTC-CNR... Read More →

Tuesday October 20, 2015 4:00pm - 5:30pm CEST
L70 Borgarfjordsgatan 10
Wednesday, October 21

2:15pm CEST

Tutorial 5 - A Methodology for Publishing Datasets as (linked) Open Data: the COMSODE Project Case

Linked data are becoming one of the most adopted model used to publish data on the Web. Thanks to the possibility to connect different datasets by means of the RDF features, linked data are suitable to fully exploit the nature of the Web. Even if a lot of tools are available supporting the publication of linked data, in the literature there is a lack of a systematic methodology supporting the publication of linked data, from the identification of the most suitable datasets to be released, to the design of the properties and ontologies to use.

The project COMSODE (Components Supporting the Open Data Exploitation) is an SME-driven RTD project aimed at progressing the capabilities in the Open Data re-use field. COMSODE wants to bring state of the art of research into a solid and industrial set of solutions to overcome the current issues: data published by various open data catalogues are poorly integrated; quality assessment, and cleansing are seldom addressed. COMSODE offers a software platform which enables data consumers to integrate the data before their usage. Therefore, it significantly reduces the costs of open data consumption and hinders open data usage and uptake.

The goal of this tutorial is twofold: on the one hand, a brief comparison of different solutions to the Open Data world will be introduced; on the other hand, we will show in particular how to develop the publication of datasets as Open Data by using the COMSODE methodology and publication platform (ODN), its tools and its data. In this tutorial, all the approaches, best practices, techniques and tools analyzed and systematized in the methodological part of the project will be overviewed, for their relation with the COMSODE “Open Data Publication” Methodology, in the following form:

  • Phases, i.e., the steps of the methodology;
  • Cross-cutting activities, i.e., the steps that are transversal to more than one phase;
  • Artefacts, i.e., the input and output of the different phases, activities and tasks;
  • Roles, i.e., who could be responsible, consultable, or simply informed of the publication of datasets into open data in an organization;
  • Practices, i.e., the techniques and tools to accomplish the different steps and activities related to the management of datasets to obtain their corresponding open data artifacts.

avatar for Carlo Batini

Carlo Batini

Carlo Batini is full professor at University of Milan Bicocca. He obtained the graduation in Engineering at University of Roma in 1972, and the post graduation in Computer Science in 1973. Since 1983 to 1986 he has been associate professor, and since 1986 to 2001 he has been full... Read More →

Wednesday October 21, 2015 2:15pm - 3:45pm CEST
Lilla Hörsalen
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