MODULARITY, as studied for many years in software engineering, allows mechanisms for easy and flexible reuse, generalization, structuring, maintenance, design patterns, and comprehension. Applied to ontology engineering, modularity is central not only to reduce the complexity of understanding ontologies, but also to facilitate ontology maintenance and ontology reasoning.

Recent research on ontology modularity shows substantial progress in foundations of modularity, techniques of modularization and modular development, distributed reasoning and empirical evaluation. These results provide a foundation for further research and development.

The workshop follows a series of successful events that have been an excellent venue for practitioners and researchers to discuss latest work and current problems, and is this time organised as a
satellite workshop of ESSLLI 2011 (week 2), following an introductory ESSLLI course on notions of modularity in ontologies (week 1).

The workshop will be open to all members of the ESSLLI community. Workshop speakers will be required to register for the Summer School; however, they will be able to register at a reduced rate to be determined by the Local Organizers. Other participants are required to register at ESSLLI 2011 and can attend any other ESSLLI courses and workshops of their choice.

TOPICS include, but are not limited to:

- What is Modularity: Kinds of modules and their properties; modules vs. contexts; design patterns; granularity of representation;

- Logical/Foundational Studies: Conservativity and syntactic approximations for modules; modular ontology languages; reconciling inconsistencies across modules; formal structuring of modules; heterogeneity;

- Algorithmic Approaches: distributed reasoning; modularization and module extraction; (selective) sharing and re-using, linking and importing; hiding and privacy; evaluation of modularization approaches; complexity of reasoning; reasoners or implemented systems;

- Applications: Semantic Web; Life Sciences; Bio-Ontologies; Natural Language Processing; ontologies of space and time; Ambient Intelligence; collaborative ontology development; etc.