Information Systems Group

― Knowledge Representation and Reasoning

Information Systems Group Projects


Current Projects

ExODA

Integrating Description Logics and Database Technologies for Expressive Ontology-Based Data Access.

Optique

Scalable End-user Access to Big Data.

Score!

Scalable and Complete Reasoning with Incomplete Ontology Reasoners.


Completed Projects

ConDOR

Highly-efficient consequence-based reasoning for Description Logics.

HermiT

Reasoning for large and complex ontologies based on a new hypertableau calculus with minimizes both nondeterminism and model sizes.

LogMap

Logic-based Methods for Ontology Mapping.

LOGO

Senior Research Fellowship focused on the study of logic-based ontology languages.

QueRe

Query Rewriting for Expressive Ontology Languages.

REOL

Reasoning for highly-expressive ontology languages, including features such as description graphs and role conjunction.

REQUIEM

Integrating ontologies and databases using query rewriting.

RInO

Reasoning for ontologies containing large numbers of individuals.

SEALS

Developing benchmarking methodologies and data sets for testing the correctness and scalability of semantic technologies, in particular reasoners and data stores.