The growing volume, variety and complexity of data being collected for scientific purposes
presents challenges for data integration. For data to be truly useful, scientists need not only …

This article presents a lightweight data representation model designed to support real time
monitoring of business processes. The model is based on a shared vocabulary defined …

Purpose Semantic Web is an extension of the World Wide Web by tagging content with
“meaning”. In general, question answering systems based on semantic Web face a number …

In this paper we consider knowledge bases that organize information using ontologies.
Specifically, we investigate reasoning over a semantic web where the underlying …

The purpose of this study was to investigate how metadata can be generated automatically
for all types of documents used in an enterprise, regardless of their content. Because of the …

In this paper we consider knowledge bases that organize information using ontologies.
Specifically, we investigate reasoning over a semantic web where the underlying knowledge …

Ontology-based reasoning systems have a native rule base but allow also for the addition of
application domain-specific rules. Previous work, comparing the performance of these …

This paper presents a promising data representation model for real time monitoring of
business processes. The main benefit of this representation is that is transparent to the data …

In the semantic web, content is tagged with" meaning" or" semantics" to facilitate machine
processing and web searching. In general, question answering systems that are built on top …

Interposing a backward chaining reasoner between a knowledge base and a query
manager yields an architecture that can support reasoning in the face of frequent changes …