Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing 1995N. J. I. Mars 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 |