Research Areas

We hope to make progress in the following research areas:

Tackling the semantic heterogeneity, complexity, and variety problems in Big Data with ontologies and reasoning
Ontology-driven open data integration
Ontological analysis and related formal methodologies for the Semantic Web and Linked Data
Developing common reusable semantic content
Agile ontology deployment and evolution for the Semantic Web and Linked Data
Overcoming ontology engineering bottlenecks
Providing and enhancing community semantic resources (ontology registries and repositories, vocabulary-ontology mappings, data and ontology transformations, automated ontology acquisition and maintenance, etc.
Making use of ontologies: tools, services, and techniques
Lightweight, intensive, and hybrid reasoning using ontologies, vocabularies, and rules
Collaborative ontology development and usage requirements for large-scale internet and intranet ontology applications
Ways to use ontologies and linked data for participatory governance of large systems