The SWRLAPI: A Development Environment for Working with SWRL (2009)
Csongor Nyulas, Ravi Shankar, Amar Das, Mark Musen
SWRL is an expressive OWL-based rule language that can be used to increase the amount of knowledge encoded in OWL ontologies. While semantically a SWRL rule can be considered as an additional type of...
Querying the Semantic Web with SWRL (2008)
Samson Tu, Csongor Nyulas, Amar Das, Mark Musen
Abstract. The SWRLTab is a development environment for working with SWRL rules in Protégé-OWL. It supports the editing and execution of SWRL rules. It also provides mechanisms to allow...
Efficiently Querying Relational Databases Using OWL and SWRL (2008)
Ravi Shankar, Samson Tu, Csongor Nyulas, Amar Das
Abstract. For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge the two...
Using Semantic Web Technologies for Knowledge- Driven Querying of Biomedical Data (2008)
Ravi Shankar, Samson Tu, Csongor Nyulas, Dave Parrish, Mark Musen, Amar Das
Abstract. Software applications that work with biomedical data have significant knowledge-management requirements. Formal knowledge models and knowledge-based methods can be very useful in meeting...
Buckeridge, David L., Okhmatovskaia, Anna, Tu, Samson, O'Connor, Martin, Nyulas, Csongor, Musen, Mark A.
Buckeridge, David L., Okhmatovskaia, Anna, Tu, Samson, O’Connor, Martin, Nyulas, Csongor, Musen, Mark A.
Public health surveillance is critical for accurate and timely outbreak detection and effective epidemic control. A wide range of statistical algorithms is used for surveillance, and important...
A Bayesian Network Model for Analysis of Detection Performance in Surveillance Systems
Izadi, Masoumeh, Buckeridge, David, Okhmatovskaia, Anna, Tu, Samson W., O‘Connor, Martin J., Nyulas, Csongor, ...
Worldwide developments concerning infectious diseases and bioterrorism are driving forces for improving aberrancy detection in public health surveillance. The performance of an aberrancy detection...