Ontology and Databases

1. We'll go around with a self-introduction of participants (10~15 minutes) - we'll skip this if we have more than 20 participants.

2. Introduction of Panelists (Moderator)3. Opening by the Moderator (5 min.) 4. 15~20-minute brief by each panelist on their

perspective 5. open general discussion by all participants

(30~45 minutes) 6. Summary / Conclusion / Follow-up (Moderator) http://ontolog.cim3.net/cgi-bin/wiki.pl?DatabaseAndOntology

Introduction of Panalists

• Leo Orbst– Principal artificial intelligence scientist at MITRE’s (www.mitre.org) Center for Innovative

Computing and Informatics, where he leads the Information Semantics group (semantics, ontological engineering, knowledge representation and management), and has been involved in projects on Semantic Web rule/ontology interaction, context-based semantic interoperability, ontology-based knowledge management, conceptual information retrieval, metadata and thesaurus construction for community knowledge sharing

• Tatiana Malyuta– Associate Professor of Computer Systems Technology Department of the New York City

College of Technology (City University of New York) where she is coordinating and teaching database courses. She wrote a textbook “Physical Design and implementation of Relational Databases.”

• Matthew West– Reference Data Architecture and Standards Manager for Shell’s Downstream (refinery to

petrol pump) business, where he is currently developing Shell’s Global Downstream Data Model. He is a key technical contributor to ISO 15926 – "Lifecycle integration of process plant data including oil and gas production facilities". Matthew is the Shell Visiting Professor in the Keyworth Institute at the University of Leeds.

Ontology and Databases

Ontology

Theory of what exists

Information Requirements

Specification of what information we wish to

hold

about

Database

Stored Facts – capable of very large scale storage

supports

May be stored

in

Human Computer Interface

Viewed through

Database integration

Data reuse

sources target

Ontology Tools

May be developed

using

May be part of

Language

Expressed in

Defined and accessed

using

Issues to Explore

1. How does ontology improve database design?  2. What is there beyond ontology in database design? 3. How do you design a database to manage an

ontology?4. What are the limitations of databases in supporting

ontologies?5. How do you discover the ontology implicit in a

database? 6. How do you map between ontologies?7. How does ontology help with the design and

implementation of human computer interfaces? 8. What are the key challenges in developing human

computer interfaces using ontologies?