Representation and Management of Narrative Information

Theoretical Principles and Implementation

  • Authors
  • Gian Piero Zarri

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-x
  2. Gian Piero Zarri
    Pages 1-37
  3. Gian Piero Zarri
    Pages 39-101
  4. Gian Piero Zarri
    Pages 103-181
  5. Gian Piero Zarri
    Pages 183-243
  6. Gian Piero Zarri
    Pages 245-250
  7. Back Matter
    Pages 251-301

About this book

Introduction

A big amount of important, economically relevant information, is buried within the huge mass of multimedia documents that correspond to some form of ‘narrative’ description.

Due to the ubiquity of these narrative resources, representing in a general, accurate, and effective way their semantic content – i.e., their key ‘meaning’ – is then both conceptually relevant and economically important. This book presents the main properties of NKRL (‘Narrative Knowledge Representation Language’), a language expressly designed for representing and managing, in a standardised way, the meaning of complex multimedia narrative documents. NKRL is a fully implemented language/environment that exists in two versions: a relational database-supported version and a file-oriented one. It constitutes probably the most complete and realistic effort realised so far to deal with the huge industrial potentialities of the narrative domain.

Written from a multidisciplinary perspective, this book not only supplies an exhaustive description of NKRL and of the associated knowledge representation principles, it also constitutes an invaluable source of reference for practitioners, researchers and graduates in domains that range over narrative theories, linguistics and computational linguistics, artificial intelligence, knowledge bases, information retrieval, ontologies and the semantic Web.

Keywords

Advanced Inference Techniques Conceptual Modelling Inference Engines Information Retrieval Intelligent Database Systems Knowledge Management Languages for the Semantic Web (W3C Languages artificial intelligence computational linguistics intelligence knowledge base knowledge representation linguistics ontology semantic web

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-078-0
  • Copyright Information Springer-Verlag London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-077-3
  • Online ISBN 978-1-84800-078-0
  • Series Print ISSN 1610-3947
  • About this book