An Implemented Representation and Reasoning Systems for Creating and Exploiting Large Knowledge Bases of Narrative Information

An Implemented Representation and Reasoning Systems for Creating and Exploiting Large Knowledge Bases of Narrative Information

Gian Piero Zarri (Univeristy of Paris 4/ Sorbonne, France)
Copyright: © 2007 |Pages: 30
DOI: 10.4018/978-1-59904-120-9.ch007
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Abstract

In this chapter, we evoke first the ubiquity and the importance of the so-called ‘narrative’ information, showing that the usual ontological tools are unable to offer complete and reliable solutions for representing and exploiting this type of information. We then supply some details about NKRL (Narrative Knowledge Representation Language), a fully implemented knowledge representation and inferencing environment especially created for an ‘intelligent’ exploitation of narrative knowledge. The main innovation of NKRL consists in associating with the traditional ontologies of concepts an ‘ontology of events’, in other words, a new sort of hierarchical organization where the nodes correspond to n-ary structures representing formally generic classes of elementary events like ‘move a physical object’, ‘be present in a place’, or ‘send/receive a message’. More complex, second order tools based on the ‘reification’ principle allow one to encode the ‘connectivity phenomena’ like causality, goal, indirect speech, coordination, and subordination that, in narrative information, link together ‘elementary events’. The chapter includes a description of the inference techniques proper to NKRL, and some information about the last developments of this language.

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Table of Contents
Acknowledgments
Zongmin Ma
Chapter 1
Ioannis N. Kouris, Christos H. Makris, Athanasios K. Tsakalidis
Most algorithms and approaches dealing with data mining in general and especially those focusing on the task of association rule mining have assumed... Sample PDF
Uncovering Hidden Associations Through Negative Itemsets Correlations
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Chapter 2
Faxin Zhao, Yubin Bao, Huanliang Sun, Ge Yu
In data mining fields, outlier detection is an important research issue. The number of cells in the cell-based disk algorithm increases... Sample PDF
A Disk-Based Algorithm for Fast Outlier Detection in Large Datasets
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Chapter 3
Tzung-Pei Hong, Ching-Yao Wang
Developing an efficient mining algorithm that can incrementally maintain discovered information as a database grows is quite important in the field... Sample PDF
Maintenance of Association Rules Using Pre-Large Itemsets
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Chapter 4
Rosa Meo, Giuseppe Psaila
Inductive databases have been proposed as general purpose databases to support the KDD process. Unfortunately, the heterogeneity of the discovered... Sample PDF
An XML-Based Database for Knowledge Discovery: Definition and Implementation
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Chapter 5
Marcus Costa Sampaio, Cláudio de Souza Baptita, André Gomes de Sousa, Fabiana Ferreira do Nascimento
This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or... Sample PDF
Enhancing Decision Support Systems with Spatial Capabilities
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Chapter 6
S.A. Oke
This work demonstrates the application of decision tree, a data mining tool, in the manufacturing system. Data mining has the capability for... Sample PDF
Application of Decision Tree as a Data mining Tool in a Manufacturing System
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Chapter 7
Gian Piero Zarri
In this chapter, we evoke first the ubiquity and the importance of the so-called ‘narrative’ information, showing that the usual ontological tools... Sample PDF
An Implemented Representation and Reasoning Systems for Creating and Exploiting Large Knowledge Bases of Narrative Information
$37.50
Chapter 8
Z. M. Ma
Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the... Sample PDF
A Literature Overview of Fuzzy Database Modeling
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Chapter 9
J. Gerard Wolff
This chapter describes some of the kinds of “intelligence” that may be exhibited by an intelligent database system based on the SP theory of... Sample PDF
Aspects of Intelligence in an "SP" Database System
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Chapter 10
Davide Martinenghi, Henning Christiansen, Hendrik Decker
Integrity constraints are a key tool for characterizing the well-formedness and semantics of the information contained in databases. In this regard... Sample PDF
Integrity Checking and Maintenance in Relational and Deductive Database and Beyond
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Chapter 11
Hassina Bounif
Information systems, including their core databases need to meet changing user requirements and adhere to evolving business strategies. Traditional... Sample PDF
Predicitive Approach for Database Schema Evolution
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