We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
A database programming language is a programming language extended with database operations. In this paper we extend a core functional language with explicitly labeled tuples and ...
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
Conceptual modeling techniques such as EER, ORM and to some extent the UML have been developed in the past for building information systems. These techniques or suitable extensions...