Teaching at STAR lab
Courses | Thesis Topics | Recommended Literature
- Information Systems
- Database Theory
- Advanced Databases
- Integrated Project (3Ba Computer Science)
- Open Information Systems [MSc; new 2008]
More information about Prof. R. Meersman's courses
Apprenticeships and thesis subjects
In order to comprehend STAR Lab's research efforts regarding ontologies, we suggest to examine all publications classified as beginner. This introductory material will be useful when browsing the different apprenticeship and thesis topics we offer below. However, if you are persistent, you might want to struggle through the advanced material. First start with the famous introduction by Uschold and Gruninger:
- Ontologies: Principles, Methods, and Applications [Mike Uschold and Michael Gruninger]
- The Semantic Web [by Tim Berners-Lee, James Hendler and Ora Lassila]
- Introducing ontologies [by STAR Lab]
- An Overview of Ontologies [by María Auxilio Medina Nieto]
- What Are Ontologies, and Why Do We Need Them? [by B. Chandrasekaran, J. R. Josephson and R. Benjamins]
- Ontologies - Introduction and Overview [by A. Johannes Pretorius]
- Where are the Semantics in the Semantic Web? [by Michael Uschold]
- Conceptual Modeling [by Stefano Spaccapietra]
Additional literature regarding STAR Lab's vision and approach towards ontologies can be found at the DOGMA research page and at our publication page.
All subjects are closely or remotely related with ongoing national and Pan-European research projects, and the DOGMA project in particular. But it is also possible to do your thesis and apprenticeship partly within the spin-off company Collibra.
Below you will find some topics to give you a head start. In case you do not find what you are looking for, but you feel a strong attraction to our research subject, do not hesitate to make suggestions and discuss it with us: contact Christophe Debruyne, chrdebru@vub.ac.be
New topics
- Database Atomization for Linked Data (new 2011-2012)
- Dipping the Web of Data for Support for Statements (new 2011-2012)
- Mining Social Processes and Actions for a Reputation Framework (new 2011-2012)
- Using Social Network Analysis for Social Performance Indicators in Business Semantics Management (new 2011-2012)
- Away with doubles: object identification in data (new 2011-2012)
- Applying semantics to improve data quality (new 2011-2012)
- Mining the "right" semantics (new 2011-2012)
- Semantic dependency management (new 2011-2012)
- Agile adaptation and validation of business rules (new 2011-2012)
- Ontological commitments in Prolog
- ORM+ graphical design
- Mining the User Knowledge for an Intelligent Recommendation System (new 2011-2012)
- Ontology Creation from Computer-Human Interactions for Computer Aided Design (new 2011-2012)
Previous topics
- Lexical Incoherence in Ontologies
- Using Graph Transformation for Collaborative Ontology Evolution
- Techniques and Tools for Collaborative Information Collection
- Ontology Relevance Calculation Module
- Scalable Ontology Visualization Techniques
- A serendipidity module for optimizing ontology reuse
- Flexible Text, Image and Video Annotation
- Bridging Business Process Management (BPM) and Semantics
- Uploading business ontologies (SAP Glossary, etc) into Dogma Ontology Server
- Visualising ontology alignment and merging
- Mediator and wrapper architecture and implementation
- Extension of Omega-RIDL for XML sources + GUI for mapping
- Possible uses of Analysis Patterns as ontological tools
- Ontology Aware Multi-Agent System
- (Semi-)automatic extraction of ontological information from existing resources
- Business Rule Engine for ORM
- Developing a ontology-based annotator
- Building an ontology of systematic innovation knowledge management
- Formalizing ontological commitments using Modal Logic
- Mapping Lexical resources into Ontologies
- Mapping ORM into OWL
- Mapping OWL into ORM
- Modeling Business rules in pseudo natural language
- Reasoning about ORM schemes using Racer