Abstract. We propose a scaleable multi-user benchmark called XMach-1 (XML Data Management benchmark) for evaluating the performance of XML data management systems. It is based on a...
Several studies have focused on the efficient processing of simple spatial query types such as selections and spatial joins. Little work, however, has been done towards the optimiz...
This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest pro le of that user and tho...
In this paper, we show how a domain dependent know-how textual database of advices and warnings can be constructed from procedural texts. We show how arguments of type warnings an...
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...