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