JOWSDATALOG: An Ontology Based Data Access Tool for Jointly-Weakly-Sticky Datalog± Programs

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Creator: 

Saljoughi Badlou, Pourya

Date: 

2019

Abstract: 

Jointly-Weakly-Sticky (JWS) Datalog± is an expressive member of the family of Datalog± programs. It is characterized by a marking procedure, the existential dependency graph, and joint acyclicity. Query-answering (QA) can be done in polynomial-time in data complexity through SChQAS, a chase-based, bottom-up QA algorithm for JWS Datalog± programs. The QA algorithm can be optimized by using a magic-sets query rewriting technique, MagicD+, for JWS programs. MagicD+ takes a Datalog± program and a query, and rewrites the combination into a new Datalog± program that becomes an input to SChQAS. With the new program, SChQAS avoids generating irrelevant facts. The main contributions of this thesis are the design and implementation of an ontology-based data access (OBDA) tool, JowsDatalog, in which SChQAS and MagicD+ are implemented.

Subject: 

Computer Science

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Computer Science: 
M.C.S.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Computer Science

Parent Collection: 

Theses and Dissertations

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