Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing 1995

Front Cover
N. J. I. Mars
IOS Press, 1995 - Computers - 306 pages

In the early days of artificial intelligence it was widely believed that powerful computers would, in the future, enable mankind to solve many real-world problems through the use of very general inference procedures and very little domain-specific knowledge. With the benefit of hindsight, this view can now be called quite naive. The field of expert systems, which developed during the early 1970s, embraced the paradigm that Knowledge is Power - even very fast computers require very large amounts of very specific knowledge to solve non-trivial problems. Thus, the field of large knowledge bases has emerged.

 

Contents

Ontologies and Knowledge Bases Towards a Terminological Clarification N Guarino
25
Experience with Comet
33
Task Ontology for Reuse of Problem Solving Knowledge R Mizoguchi J Vanwelkenhuysen
46
Organization and Use J Bateman
60
a Case Study
73
A Knowledge Media Approach to Ontology Development T Nishida H Takeda K Iino
84
Steps Towards Automated Knowledge Acquisition Y Wilks and S Nirenberg
103
Extracting Knowledge from Biological Descriptions A Taylor
114
A Case Study in the Use of LargeScale KnowledgeBased Technology for an Environmental
156
Structuring Methods for Nonmonotonic Knowledge Bases G Antoniou
187
163
203
Object Modeling Profits from Linguistics J F M Burg and R P van de Riet
204
an ObjectOriented System Unifying Databases and Knowledge Bases A Simonet
217
Why and How to Define a Similarity Measure for ObjectBased Representation Systems
236
An Agent Based Approach to Spacecraft Mission Operations M Jones J Wheadon
259
Knowledge Bases Texts and Lexicon F Lemaire
281

A Very LargeScale Knowledge Base for the Knowledge Intensive Engineering Framework
123
A Scientific Knowledge Base for Extracting and Justifying Scientific Hypotheses
132
Context and Architecture J Euzenat
143

Common terms and phrases

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