This book is the proceedings of the Second International Conference on Conceptual Structures, ICCS '94, held at College Park, Maryland, USA in August 1994.
This proceedings presents, on an international scale, up-to- the-minute research results on theoretical and applicational aspects of conceptual graphs, particularly on the use of contexts in knowledge representation. The concept of contexts is highly important for all kinds of knowledge-intensive systems. The book is organized into sections on natural language understanding, rational problem solving, conceptual graph theory, contexts and canons, and data modeling.
Author(s): William M. Tepfenhart, Judith P. Dick, John F. Sowa (eds.)
Series: Lecture Notes in Computer Science 835 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1994
Language: English
Pages: 340
Tags: Artificial Intelligence (incl. Robotics); Combinatorics; Database Management
Aristotelian and platonic views of knowledge representation....Pages 1-10
Conceptual graphs — Past, present, and future....Pages 11-30
Pragmatic semantics by conceptual graphs....Pages 31-44
The temporal structure of a discourse and verb tense determination....Pages 45-68
Linguistic processing of text for a large-scale conceptual Information Retrieval system....Pages 69-83
A multilingual analyser of medical texts....Pages 84-96
Extracting explicit and implicit knowledge from natural language texts....Pages 97-112
A rational goal-seeking agent using conceptual graphs....Pages 113-126
Attitudes: Keys to problem identification....Pages 127-143
Basic Conceptual Structures Theory....Pages 144-159
Views, mappings and functions: Essential definitions to the conceptual graph theory....Pages 160-174
Contexts and concepts, abstraction duals....Pages 175-184
Contexts, canons and coreferent types....Pages 185-195
Using contexts to represent text....Pages 196-213
Inference systems for conceptual graph programs....Pages 214-229
UDS: A universal data structure....Pages 230-250
A conceptual and contextual object-oriented logic programming: The PROLOG++ language....Pages 251-274
Knowledge visualization from conceptual structures....Pages 275-292
Exploiting the induced order on type-labeled graphs for fast knowledge retrieval....Pages 293-310
Standardizing and interfacing Relational Databases using Conceptual Graphs....Pages 311-330