Reasoning and unification over conceptual graphs
Author(s)
Bibliographic Information
Reasoning and unification over conceptual graphs
Kluwer Academic/Plenum Publishers, c2003
Available at 6 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Reasoning and Unification over Conceptual Graphs is an exploration of automated reasoning and resolution in the expanding field of Conceptual Structures. Designed not only for computing scientists researching Conceptual Graphs, but also for anyone interested in exploring the design of knowledge bases, the book explores what are proving to be the fundamental methods for representing semantic relations in knowledge bases. While it provides the first comprehensive treatment of Conceptual Graph unification and reasoning, the book also addresses fundamental issues of graph matching, automated reasoning, knowledge bases, constraints, ontology and design. With a large number of examples, illustrations, and both formal and informal definitions and discussions, this book is excellent as a tutorial for the reader new to Conceptual Graphs, or as a reference book for a senior researcher in Artificial Intelligence, Knowledge Representation or Automated Reasoning.
Table of Contents
1: Conceptual Structures. 1. Introduction. 2. Overview. 3. Conceptual Graphs: What they Are and How they Work. 4. Previous Work in Constraints and Unification over Conceptual Graphs. 5. Summary. 2: Unification, Knowledge Structures and Constraints. 1. Introduction. 2. Unification. 3. Feature Structures. 4. Logic Programming, Constraint Logic Programming, and Constraint Satisfaction Problems. 5. Unification and Constraints. 6. Knowledge Structures, Partialness and Unification. 7. Summary. 3: An Algorithm for the Unification of Conceptual Graphs with Constraints. 1. Introduction. 2. Interval Constraints. 3.Projection and Constraints Using Intervals. 4. Unification over Constraints. 5. Unification Algorithm. 6. Summary. 4: Results, Demonstrations and Comparisons. 1. Introduction. 2. Design. 3.Experiments: Simple Structures. 5. Comparisons to Other Systems. 6. Summary. 5: Placing the Unification Model in Context. I. Introduction. 2. A Framework of Unification Methods. 3. A Toolbox for Knowledge Conjunction on Conceptual Graphs. 4. Extending the Model. 5. Summary. 6: Conclusions and Further Work. 1. Conclusions. 2. Future Directions.
by "Nielsen BookData"