This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...
Today's enterprises face critical needs in integrating disparate information spread over several data sources inside and even outside the organization. Most organizations alre...
Some recent initiatives try to take profit from RDF to make XML documents interoperate at the semantic level. Ontologies are used to establish semantic connections among XML langu...
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
In this paper we examine undesired inference attacks from distributed public XML documents. An undesired inference is a chain of reasoning that leads to protected data of an organ...