NDLI: Semi-automatic construction of ontology-based cbr system for knowledge integration.

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Semi-automatic construction of ontology-based cbr system for knowledge integration.

Content Provider	CiteSeerX
Author	Gao, Junjie Deng, Guishi
Abstract	Abstract—In order to integrate knowledge in heterogeneous case-based reasoning (CBR) systems, ontology-based CBR system has become a hot topic. To solve the facing problems of ontology-based CBR system, for example, its architecture is nonstandard, reusing knowledge in legacy CBR is deficient, ontology construction is difficult, etc, we propose a novel approach for semi-automatically construct ontology-based CBR system whose architecture is based on two-layer ontology. Domain knowledge implied in legacy case bases can be mapped from relational database schema and knowledge items to relevant OWL local ontology automatically by a mapping algorithm with low time-complexity. By concept clustering based on formal concept analysis, computing concept equation measure and concept inclusion measure, some suggestions about enriching or amending concept hierarchy of OWL local ontologies are made automatically that can aid designers to achieve semi-automatic construction of OWL domain ontology. Validation of the approach is done by an application example.
File Format	PDF
Access Restriction	Open
Subject Keyword	Ontology-based Cbr System Semi-automatic Construction Knowledge Integration Owl Local Ontology Semi-automatically Construct Ontology-based Cbr System Concept Equation Measure Novel Approach Relational Database Schema Formal Concept Analysis Hot Topic Heterogeneous Case-based Reasoning Concept Inclusion Measure Concept Hierarchy Application Example Legacy Case Base Mapping Algorithm Knowledge Item Domain Knowledge Facing Problem Two-layer Ontology Legacy Cbr Low Time-complexity Ontology Construction Owl Domain Ontology
Content Type	Text

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