Representation and Management of Complex 'Narrative' Information

In this paper, we evoke first the ubiquity and the importance of the so-called "non-fictional" narrative information. We show then that the usual knowledge representation and ontological techniques have difficulties in finding complete solutions for representing and using this type of information. We supply then some details about NKRL, a representation and querying/inferencing environment especially created for an 'intelligent' exploitation of (non-fictional) narratives. The paper will be illustrated with some examples concerning recent concrete applications of this language/environment.

[1]  Carolyn Miller,et al.  Digital Storytelling: A Creator's Guide to Interactive Entertainment , 2004 .

[2]  F. Lehmann,et al.  Semantic Networks in Artificial Intelligence , 1992 .

[3]  Elisa Bertino,et al.  Intelligent Database Systems , 2000 .

[4]  James Pustejovsky,et al.  Temporal Discourse Models for Narrative Structure , 2004, ACL 2004.

[5]  M. Bal,et al.  Narratology: Introduction to the Theory of Narrative , 1988 .

[6]  Ivo Swartjes,et al.  A Fabula Model for Emergent Narrative , 2006, TIDSE.

[7]  Carolyn M. Hall,et al.  Encyclopedia of Library and Information Science , 1971 .

[8]  Roger C. Schank,et al.  Computer Models of Thought and Language , 1974 .

[9]  Gian Piero Zarri.  Ontologies and reasoning techniques for (legal) intelligent information retrieval systems , 2007, Artificial Intelligence and Law.

[10]  John F. Sowa,et al.  Conceptual Structures: Information Processing in Mind and Machine , 1983 .

[11]  Ramanathan V. Guha,et al.  Cyc: toward programs with common sense , 1990, CACM.

[12]  James R. Meehan,et al.  TALE-SPIN, An Interactive Program that Writes Stories , 1977, IJCAI.

[13]  Gopal Sarma Pingali,et al.  PICASSO: Pervasive Information Chronicling, Access, Search, and Sharing for Organizations , 2005, Third IEEE International Conference on Pervasive Computing and Communications.

[14]  Ramesh C. Jain,et al.  {\rm E} - A Generic Event Model for Event-Centric Multimedia Data Management in eChronicle Applications , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

[15]  Gian Piero Zarri.  Modeling and Advanced Exploitation of eChronicle ‘Narrative’ Information , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

[16]  Ryutaro Ichise,et al.  Integrating Know-How into the Linked Data Cloud , 2014, EKAW.

[17]  Mark A. Musen,et al.  The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility , 2000, EKAW.

[18]  James R. Meehan,et al.  The Metanovel: Writing Stories by Computer , 1976, Outstanding Dissertations in the Computer Sciences.

[19]  Emil L. Post.  Formal Reductions of the General Combinatorial Decision Problem , 1943 .

[20]  Stefan Göbel,et al.  Technologies for Interactive Digital Storytelling and Entertainment, Third International Conference, TIDSE 2006, Darmstadt, Germany, December 4-6, 2006 , 2006, TIDSE.

[21]  Gian Piero Zarri,et al.  Differentiating Between "Functional" and "Semantic" Roles in a High-Level Conceptual Data Modeling Language , 2011, FLAIRS.

[22]  Gian Piero Zarri.  Integrating the Two Main Inference Modes of NKRL, Transformations and Hypotheses , 2005, J. Data Semant..

[23]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[24]  Gian Piero Zarri,et al.  Representation and Management of Narrative Information - Theoretical Principles and Implementation , 2008, Advanced Information and Knowledge Processing.

[25]  Gian Piero Zarri,et al.  Representation of temporal knowledge in events: The formalism, and its potential for legal narratives , 1998 .

[26]  James C. Lester,et al.  Narrative prose generation , 2001, Artif. Intell..

[27]  Stuart C. Shapiro.  Review of Knowledge representation: logical, philosophical, and computational foundations by John F. Sowa. Brooks/Cole 2000. , 2001 .