The Description Logic for Relational Databases

Intelligent Information Processing V - IFIP Advances in Information and Communication Technology ◽

10.1007/978-3-642-16327-2_11 ◽

2010 ◽

pp. 64-71

Author(s):

Ma Yue ◽

Shen Yuming ◽

Sui Yuefei ◽

Cao Cungen

Keyword(s):

Relational Databases ◽

Description Logic

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Storing fuzzy description logic ontology knowledge bases in fuzzy relational databases

Applied Intelligence ◽

10.1007/s10489-017-0965-5 ◽

2017 ◽

Vol 48 (1) ◽

pp. 220-242 ◽

Cited By ~ 4

Author(s):

Fu Zhang ◽

Z. M. Ma ◽

Qiang Tong ◽

Jingwei Cheng

Keyword(s):

Relational Databases ◽

Description Logic ◽

Knowledge Bases ◽

Fuzzy Description

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Preference-Based Integration of Relational Databases into a Description Logic

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/978-3-540-74469-6_83 ◽

2007 ◽

pp. 854-863 ◽

Cited By ~ 2

Author(s):

Olivier Curé ◽

Florent Jochaud

Keyword(s):

Relational Databases ◽

Description Logic

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Extracting knowledge from fuzzy relational databases with description logic

Integrated Computer-Aided Engineering ◽

10.3233/ica-2011-0366 ◽

2011 ◽

Vol 18 (2) ◽

pp. 181-200 ◽

Cited By ~ 20

Author(s):

Z.M. Ma ◽

Fu Zhang ◽

Li Yan ◽

Jingwei Cheng

Keyword(s):

Relational Databases ◽

Description Logic

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A Faithful Translation from Relational Databases to Description Logic

Proceedings of the 2012 International Conference on Cybernetics and Informatics - Lecture Notes in Electrical Engineering ◽

10.1007/978-1-4614-3872-4_308 ◽

2013 ◽

pp. 2415-2420

Author(s):

Huali Tang ◽

Xiao Liu ◽

Jishen Liang ◽

Yuxia Lei

Keyword(s):

Relational Databases ◽

Description Logic

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NUMERIC PREDICTION ON OWL KNOWLEDGE BASES THROUGH TERMINOLOGICAL REGRESSION TREES

International Journal of Semantic Computing ◽

10.1142/s1793351x12400144 ◽

2012 ◽

Vol 06 (04) ◽

pp. 429-446 ◽

Cited By ~ 5

Author(s):

NICOLA FANIZZI ◽

CLAUDIA D'AMATO ◽

FLORIANA ESPOSITO ◽

PASQUALE MINERVINI

Keyword(s):

Relational Databases ◽

Description Logic ◽

Regression Trees ◽

Knowledge Bases ◽

Semantic Knowledge ◽

The Novel ◽

Regression Problems ◽

Logical Regression ◽

Definition Of ◽

New Framework

In the context of semantic knowledge bases, among the possible problems that may be tackled by means of data-driven inductive strategies, one can consider those that require the prediction of the unknown values of existing numeric features or the definition of new features to be derived from the data model. These problems can be cast as regression problems so that suitable solutions can be devised based on those found for multi-relational databases. In this paper, a new framework for the induction of logical regression trees is presented. Differently from the classic logical regression trees and the recent fork of the terminological classification trees, the novel terminological regression trees aim at predicting continuous values, while tests at the tree nodes are expressed with Description Logic concepts. They are intended for multiple uses with knowledge bases expressed in the standard ontology languages for the Semantic Web. A top-down method for growing such trees is proposed as well as algorithms for making predictions with the trees and deriving rules. The system that implements these methods is experimentally evaluated on ontologies selected from popular repositories.

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