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ABSTRACT

In this dissertation novel methods developed in the Semantic Web community throughout the past couple of years are used to implement a large-scale data integration system for distributed, heterogeneous data with rich semantics. While the proposed system, called SemWIQ (Semantic Web Integrator and Query Engine) is primarily designed for sharing data for scientific collaboration, it is regarded as a base technology useful for many other Semantic Web applications which use ontologies to describe highly-structured data.

At its core, SemWIQ is based on the mediator-wrapper architecture and a specialized SPARQL query processor which is able to virtually integrate data using declarative queries (Note: SPARQL is a standardized declarative query language for the Semantic Web). Combined with latest research towards new graphical user interfaces for the Web of Data, the proposed approach is very well suited for large-scale collaborative knowledge sharing in research as well as in the industry.

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INDEX TERMS

Keywords:
SPARQL query optimization, federated SPARQL, semantic data integration, web data integration