
TL;DR
This paper proposes a novel approach for constructing Information Warehouses and Knowledge Work Support Systems to better support knowledge workers by addressing relevance, linkage, and provenance of information, enabling advanced organizational learning.
Contribution
It introduces the concept of Information Warehouses and a non-conventional system design to improve information relevance, linkage, and provenance in knowledge management.
Findings
Supports knowledge workers more effectively.
Enables double-loop organizational learning.
Lays groundwork for innovative information systems.
Abstract
One of the most important goals of information management (IM) is supporting the knowledge workers in performing their works. In this paper we examine issues of relevance, linkage and provenance of information, as accessed and used by the knowledge workers. These are usually not adequately addressed in most of the IT based solutions for IM. Here we propose a non-conventional approach for building information systems for supporting the knowledge workers which addresses these issues. The approach leads to the ideas of building Information Warehouses (IW) and Knowledge work Support Systems (KwSS). Such systems can open up potential for building innovative applications of significant impact, including those capable of helping organizations in implementing processes for double-loop learning.
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Taxonomy
TopicsSemantic Web and Ontologies · Big Data and Business Intelligence · Data Quality and Management
