Using INMDB for the Semantic Web

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Creator: 

Demers, Patrick

Date: 

2017

Abstract: 

Resource Description Framework (RDF) is a data model that represents information about web resources using triples. Triples represent data at the atomic level using three components: subject, predicate and object. The structure of RDF data is defined by a schema language RDFS. RDF data storage can be classified into five categories: Native, Relational, Object-Oriented, Object-Relational and Expert System. Of these, Native and Relational have been the dominant approaches. The problem with all current RDF storage approaches is that none adequately represent the semantics of the RDFS with their underlying storage architecture. In this thesis, a more semantic storage approach is introduced using Information Network Model Database (INMDB) which addresses this problem. To support our claim, we store the English version of the DBPedia RDF dataset in INMDB. The results show that INMDB offers a more semantic way to store and query structured RDF data.

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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