Abstract

The core objective of Information Management is to enable informed decision making. Ontologies play an increasing role in holistically organizing enterprise information and thus supporting such decision making processes. In the tutorial we will first position Ontology Engineering in the broader context of Enterprise Information Management. We will introduce the five steps - setup, requirements analysis, glossary creation, modeling, test - of our methodology for developing ontologies in an enterprise context. For each step we will present the roles of participating actors, the methods and software available to guide and even partially automatize particular tasks, and metrics which can be used to assess the quality of the intermediary outcomes. In addition  we will discuss best practices and guidelines related to critical aspects of Ontology Engineering: modeling specific types of knowledge,  resolving  conflicts in collaborative  ontology building processes through argumentation,  the automatic generation  and learning of ontologies  from existing  unstructured data sources, or the  estimation of the  ontology development costs.
You will thus learn how to convince your CEO to start an ontology engineering initiative and how to implement it successfully in your company.

Elena Simperl, STI Innsbruck (AT)

Christoph Tempich, Detecon International GmbH (DE)