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What is Knowledge-Based Systems

Encyclopedia of Information Science and Technology, Second Edition
Information systems that capture and deliver problem pertinent knowledge to users.
Published in Chapter:
Updated Architectures for the Integration of Decision Making Support Functionalities
Guisseppi A. Forgionne (University of Maryland - Baltimore County, USA)
DOI: 10.4018/978-1-60566-026-4.ch619
Information systems research continues to examine ways to improve support for decision making. The evolution from simple data access and reporting to complex analytical, creative, and artificially intelligent support for decision making persists (Holsapple & Whinston, 1996). In the evolution, existing information systems still, and new intelligent systems have been created to, provide the desired decision making support. By studying the existing, and new, systems’ characteristics, advantages, and disadvantages, researchers and practitioners can better design, develop, and implement robust decision making support systems (Kumar, 1999). The original article facilitated such study by presenting and illustrating the underlying information system architectures for robust decision making support (Forgionne, 2005). This article updates the original by offering additional contributions to the subject. New literature on intelligent decision making support is examined, and the relevant findings are discussed. The title has been modified slightly to reflect the updates.
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Web-Based Personal Digital Library
Systems based on the methods and techniques of artificial intelligence . Their core components are the knowledge base and the inference mechanisms.
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How Semantic Web Technologies can Support the Mediation between Supply and Demand in the ICT Market: The Case of Customer Relationship Management
Knowledge-based systems are software systems built by following methodologies and techniques typical of Artificial Intelligence. Their core component is the knowledge base, i.e. a formal representation of knowledge, usually concerning a specific domain. A distinguishing feature of these systems is the separation between the knowledge base and the procedural (and usually domain-independent) knowledge embedded in the algorithms that access to the knowledge base. A knowledge-based system typically includes also some mechanisms to acquire (new) knowledge, as well as reasoning mechanisms that exploit the knowledge base to make inferences.
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