Context is the challenge for the coming years in Artificial Intelligence. In the companion
paper [8], we present the main results of discussions at two workshops and at the first …

Dealing with context seems to be a major challenge which the field of Artificial Intelligence
(AI) will have to face in the next few years. The importance of the challenge is borne out by …

Data Quality provides an exposé of research and practice in the data quality field for
technically oriented readers. It is based on the research conducted at the MIT Total Data …

Interoperability is the most critical issue facing businesses that need to access information
from multiple information systems. Our objective in this research is to develop a …

Data integration is one of the older research fields in the database area and has merged
shortly after database systems were first introduced into the business world. In this paper, we …

The Context Interchange strategy presents a novel perspective for mediated data access in
which semantic conflicts among heterogeneous systems are not identified a priori, but are …

Data integration is one of the older research fields in the database area and has emerged
shortly after database systems were first introduced into the business world. In this paper, we …

We are currently witnessing the emerging of a new generation of software systems:
Federated information systems. Their main characteristic is that they are constructed as an …

Agent technology has recently become one of the most vibrant and fastest growing areas in
information technology. Within this booming area, intelligent information agents are …

Establishing semantic interoperability among heterogeneous information sources has been
a critical issue in the database community for the past two decades. Despite the critical …