| Reasoning and Unification Over Conceptual Graphs 2003 Edition Contributor(s): Corbett, Dan (Author) |
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ISBN: 0306474875 ISBN-13: 9780306474873 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: January 2003 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Information Theory - Computers | Intelligence (ai) & Semantics - Mathematics | Discrete Mathematics |
| Dewey: 003.54 |
| LCCN: 2002042763 |
| Physical Information: 0.6" H x 6.04" W x 9.48" (0.87 lbs) 151 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |