NEW BOOK: Apologies for multiple postings.
Gian Piero ZARRI Representation and Management of Narrative Information, Theoretical Principles and Implementation Series: Advanced Information and Knowledge Processing 2009, X, 302 p. 55 illus., Hardcover ISBN: 978-1-84800-077-3 Springer-Verlag London http://www.springer.com/computer/artificial/book/978-1-84800-077-3
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. In this book, we present 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 also a fully implemented 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 a 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, and languages for the ontologies and the semantic web.
- Narratology and NKRL. - The notion of 'event' in an NKRL context. - Knowledge representation and NKRL. - Architecture of NKRL, the four 'components'. - Second order structures. - The semantic and ontological contents. - Ontology of 'concepts' and ontology of 'events'. - The query and inference procedures. - Temporal information and indexing. - High-level inference procedures. - Technological enhancements and theoretical enhancements. - Appendix A: NKRL software. - Appendix B: Plural entities in NKRL.
Professional address of the author from February 1st, 2009:
Gian Piero Zarri University Paris-Est - LISSI Laboratory 120-122, rue Paul Armangot 94400 Vitry-sur-Seine France Phone: 33-1-41807383 Fax: 33-1-41807369 Email: zarri at noos.fr, gian-piero.zarri at univ-paris12.fr