This paper surveys the most relevant research on combining Data Warehouse (DW) and
Web data. It studies the XML technologies that are currently being used to integrate, store …

In order to develop trustworthy information systems, security aspects should be considered
from the early project stages. This is particularly true for authorization and access control …

This paper discusses an integrated methodology to structure and formalize business
requirements in large data-intensive projects, eg data warehouses implementations, turning …

Current data warehouse and OLAP technologies are applied to analyze the structured data
that companies store in databases. The context that helps to understand data over time is …

The exploration and use of Semantic Web technologies have attracted considerable
attention from researchers examining data warehouse (DW) development. However, the …

Knowledge Management (KM) in organisations has already been recognised as an
important factor of the competitiveness of an enterprise. One of the advantages it brings is …

Business Intelligence (BI) applications allow their users to query, understand, and analyze
existing data within their organizations in order to acquire useful knowledge, thus making …

Current data governance techniques are very labor-intensive, as teams of data stewards
typically rely on best practices to transform business policies into governance rules. As data …

Abstract Knowledge Portals (KPs) are highly integrative Knowledge Management Systems
(KMSs) that promise to synthesize widely dispersed knowledge and to interconnect …

Much of the research in the area of Knowledge Management (KM) has been at the individual
level. However, KM literature argues for knowledge processing capacity at an organisational …