Conceptual Structures: Current Practices: Second International Conference on Conceptual Structures, ICCS '94, College Park, Maryland, USA, August 16 - 20, 1994. Proceedings

ISBN-13: 9783540583288 / Angielski / Miękka / 1994 / 340 str.

William M. Tepfenhart;Judith P. Dick; Jr. John F. Sowa

Opis

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.

Spis treści

Aristotelian and platonic views of knowledge representation.- Conceptual graphs — Past, present, and future.- Pragmatic semantics by conceptual graphs.- The temporal structure of a discourse and verb tense determination.- Linguistic processing of text for a large-scale conceptual Information Retrieval system.- A multilingual analyser of medical texts.- Extracting explicit and implicit knowledge from natural language texts.- A rational goal-seeking agent using conceptual graphs.- Attitudes: Keys to problem identification.- Basic Conceptual Structures Theory.- Views, mappings and functions: Essential definitions to the conceptual graph theory.- Contexts and concepts, abstraction duals.- Contexts, canons and coreferent types.- Using contexts to represent text.- Inference systems for conceptual graph programs.- UDS: A universal data structure.- A conceptual and contextual object-oriented logic programming: The PROLOG++ language.- Knowledge visualization from conceptual structures.- Exploiting the induced order on type-labeled graphs for fast knowledge retrieval.- Standardizing and interfacing Relational Databases using Conceptual Graphs.