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What is Integration of the NKRL Inference Rules

Chapter 3
Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Concerns the possibility of using the transformation rules to automatically ‘transform’ the reasoning steps executed within a hypothesis context. A first consequence of this option concerns the possibility of executing a hypothesis deemed to fail until its term given that the transformations allows the inference engine to ‘adapt’ the reasoning steps originally included in a hypothesis to the real contents of the knowledge base. More in general, the possibility of transforming systematically all the reasoning steps of a hypothesis, even when this last are successful, allows us to uncover large portions of the ‘implicit information’ buried in the base.
Published in Chapter:
Using Rules in the Narrative Knowledge Representation Language (NKRL) Environment
Gian Piero Zarri (University Paris Est and LISSI Laboratory, France)
Copyright: © 2009 |Pages: 26
DOI: 10.4018/978-1-60566-402-6.ch003
Abstract
NKRL is a semantic language expressly designed to deal with all sort of ‘narratives’, in particular with those (‘non-fictional narratives’) of an economic interest. From a knowledge representation point of view, its main characteristics consists in the use of two different sorts of ontologies, a standard, binary ontology of concepts, and an ontology of n-ary templates, where each template corresponds to the formal representation of a class of elementary events. Rules in NKRL correspond to high-level reasoning paradigms like the search for causal relationships or the use of analogical reasoning. Given i) the conceptual complexity of these paradigms, and ii) the sophistication of the underlying representation language, rules in NKRL cannot be implemented in a (weak) ‘inference by inheritance’ style but must follow a powerful ‘inference by resolution’ approach. After a short reminder about these two inference styles, and a quick introduction of the NKRL language, the chapter describes in some depth the main characteristics of the NKRL inference rules.
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