Knowledge Acquisition, Modeling and Management: 11th European Workshop, EKAW’99 Dagstuhl Castle, Germany, May 26–29, 1999 Proceedings

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Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.

Author(s): Daniel E. O’Leary (auth.), Dieter Fensel, Rudi Studer (eds.)
Series: Lecture Notes in Computer Science 1621 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1999

Language: English
Pages: 412
Tags: Artificial Intelligence (incl. Robotics)

Reengineering and Knowledge Management....Pages 1-12
Knowledge Navigation in Networked Digital Libraries....Pages 13-32
Towards Brokering Problem-Solving Knowledge on the Internet....Pages 33-48
TERMINAE: A Linguistics-Based Tool for the Building of a Domain Ontology....Pages 49-66
Applications of Knowledge Acquisition in Experimental Software Engineering....Pages 67-84
Acquiring and Structuring Web Content with Knowledge Level Models....Pages 85-102
A Knowledge-Based News Server Supporting Ontology-Driven Story Enrichment and Knowledge Retrieval....Pages 103-120
Modeling Information Sources for Information Integration....Pages 121-138
Ontological Reengineering for Reuse....Pages 139-156
Formally Verifying Dynamic Properties of Knowledge Based Systems....Pages 157-171
Integration of Behavioural Requirements Specification within Knowledge Engineering....Pages 173-190
Towards an Ontology for Substances and Related Actions....Pages 191-206
Use of Formal Ontologies to Support Error Checking in Specifications....Pages 207-224
The Ontologies of Semantic and Transfer Links....Pages 225-242
Distributed Problem Solving Environment Dedicated to DNA Sequence Annotation....Pages 243-258
Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts....Pages 259-273
Acquiring Expert Knowledge for the Design of Conceptual Information Systems....Pages 275-290
A Constraint-Based Approach to the Description of Competence....Pages 291-308
Holism and Incremental Knowledge Acquisition....Pages 309-314
Indexing Problem Solving Methods for Reuse....Pages 315-322
Software Methodologies at Risk....Pages 323-328
Knowledge acquisition of predicate argument structures from technical texts using Machine Learning: the system Asium ....Pages 329-334
An Interoperative Environment for Developing Expert Systems....Pages 335-340
On the Use of Meaningful Names in Knowledge-Based Systems....Pages 341-348
FMR: An Incremental Knowledge Acquisition System for Fuzzy Domains....Pages 349-354
Applying SeSKA to Sisyphus III....Pages 355-360
Describing Similar Control Flows for Families of Problem-Solving Methods....Pages 361-366
Meta Knowledge for Extending Diagnostic Consultation to Critiquing Systems....Pages 367-372
Exploitation of XML for Corporate Knowledge Management....Pages 373-378
An Oligo-Agents System with Shared Responsibilities for Knowledge Management....Pages 379-384
Veri-KoMoD: Verification of Knowledge Models in the Mechanical Design Field....Pages 385-390
A Flexible Framework for Uncertain Expertise....Pages 391-396
Elicitation of Operational Track Grids....Pages 397-402