Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
We describe the implementation of an enterprise monitoring system that builds on an ontology-based information extraction (OBIE) component applied to heterogeneous data sources. T...
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...