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The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from October 8-9, 1993 in Montreal. A major aim of the workshop was to bring together researchers who share a concern for issues of incompleteness and uncertainty. The workshop attracted people doing fundamental research and industry­ oriented research in databases, software engineering and AI from North America, Europe and Asia. The workshop program featured six invited talks and twenty other presentations. The invited speakers were: Martin Feather (University of Southern CalifornialInformation Systems Institute) Laks V. S. Lakshmanan (Concordia University) Ewa Orlowska (Polish Academy of Sciences) z. Pawlak (Warsaw Technical University and Academy of Sciences) F. Sadri (Concordia University) A. Skowron (Warsaw University) The papers can be classified into four groups: rough sets and logic, concept analysis, databases and information retrieval, and software engineering. The workshop opened with a warm welcome speech from Dr. Dan Taddeo, Dean, Faculty of Engineering and Computer Science. The first day's presentations were in rough sets, databases and information retrieval. Papers given on the second day centered around software engineering and concept analysis. Sufficient time was given in between presentations to promote active interactions and numerous lively discussions. At the end of two days, the participants expressed their hope that this workshop would be continued.




This volume contains papers from the Workshop on Incompleteness and Uncertainty in Information Systems, which was held at Concordia University, Montreal, Canada, from 8 - 9 October 1993. The workshop was organised by the University's Software Engineering and Knowledgebase Systems (SOFTEKS) Research Group. It attracted participants from a wide variety of backgrounds, including those doing both fundamental and industry-oriented research into databases, software engineering and AI in North America, Europe and Asia. Amongst the actual topics covered in this volume are: software aberrations - origins and treatments; modeling uncertainty in object-oriented databases; management of uncertainty in AI - a rough set approach; uncertainty as a function of expertise; a relational data model for manipulating probabilistic knowledge; and unnesting fuzzy SQL queries in fuzzy databases.


This volume contains papers from the Workshop on Incompleteness and Uncertainty in Information Systems, which was held at Concordia University, Montreal, Canada, from 8 - 9 October 1993. The workshop was organised by the University's Software Engineering and Knowledgebase Systems (SOFTEKS) Research Group. It attracted participants from a wide variety of backgrounds, including those doing both fundamental and industry-oriented research into databases, software engineering and AI in North America, Europe and Asia. Amongst the actual topics covered in this volume are: software aberrations - origins and treatments; modeling uncertainty in object-oriented databases; management of uncertainty in AI - a rough set approach; uncertainty as a function of expertise; a relational data model for manipulating probabilistic knowledge; and unnesting fuzzy SQL queries in fuzzy databases.
Content:
Front Matter....Pages i-viii
Software Aberrations — Origins and Treatments....Pages 1-15
Reasoning with Incomplete Information: Rough Set Based Information Logics....Pages 16-33
Knowledge and Uncertainty a Rough Set Approach....Pages 34-42
A Formal Approach to Software Reusability....Pages 43-55
Modeling Uncertainty in Object-Oriented Databases....Pages 56-68
Management of Uncertainty in AI: A Rough Set Approach....Pages 69-86
Rough Sets and Data Dependencies....Pages 87-101
Situation Theory and Dempster-Shafer’s Theory of Evidence for Information Retrieval....Pages 102-116
Completeness in Statechart Models for Reactive Systems....Pages 117-130
Knowledge Recovery and Development....Pages 131-137
A Relational Data Model for Manipulating Probabilistic Knowledge....Pages 138-152
Uncertainty as a Function of Expertise....Pages 153-166
Unnesting Fuzzy SQL Queries in Fuzzy Databases....Pages 167-179
A Logical Explication of the Concepts of Incomplete and Uncertain Information....Pages 180-188
Evolution of Intelligent Database Systems: A Personal Perspective....Pages 189-208
Extracting Exact and Approximate Rules from Databases....Pages 209-222
Logic of Rough Sets....Pages 223-233
Back Matter....Pages 235-237


This volume contains papers from the Workshop on Incompleteness and Uncertainty in Information Systems, which was held at Concordia University, Montreal, Canada, from 8 - 9 October 1993. The workshop was organised by the University's Software Engineering and Knowledgebase Systems (SOFTEKS) Research Group. It attracted participants from a wide variety of backgrounds, including those doing both fundamental and industry-oriented research into databases, software engineering and AI in North America, Europe and Asia. Amongst the actual topics covered in this volume are: software aberrations - origins and treatments; modeling uncertainty in object-oriented databases; management of uncertainty in AI - a rough set approach; uncertainty as a function of expertise; a relational data model for manipulating probabilistic knowledge; and unnesting fuzzy SQL queries in fuzzy databases.
Content:
Front Matter....Pages i-viii
Software Aberrations — Origins and Treatments....Pages 1-15
Reasoning with Incomplete Information: Rough Set Based Information Logics....Pages 16-33
Knowledge and Uncertainty a Rough Set Approach....Pages 34-42
A Formal Approach to Software Reusability....Pages 43-55
Modeling Uncertainty in Object-Oriented Databases....Pages 56-68
Management of Uncertainty in AI: A Rough Set Approach....Pages 69-86
Rough Sets and Data Dependencies....Pages 87-101
Situation Theory and Dempster-Shafer’s Theory of Evidence for Information Retrieval....Pages 102-116
Completeness in Statechart Models for Reactive Systems....Pages 117-130
Knowledge Recovery and Development....Pages 131-137
A Relational Data Model for Manipulating Probabilistic Knowledge....Pages 138-152
Uncertainty as a Function of Expertise....Pages 153-166
Unnesting Fuzzy SQL Queries in Fuzzy Databases....Pages 167-179
A Logical Explication of the Concepts of Incomplete and Uncertain Information....Pages 180-188
Evolution of Intelligent Database Systems: A Personal Perspective....Pages 189-208
Extracting Exact and Approximate Rules from Databases....Pages 209-222
Logic of Rough Sets....Pages 223-233
Back Matter....Pages 235-237
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