Research Areas

We hope to make progress in the following research areas:

  • Better understanding of what ontologies are and how to use them
  • 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