Combining Systems with Linked Open Data

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has title::The Implications of Different Storage Models when Linking Heterogeneous User Information
status: finished
Master: project within::Knowledge Technology and Intelligent Internet Applications
Student name: student name::Karl Lundfall
Dates
Start start date:=2015/02/16
End end date:=2015/07/07
Supervision
Supervisor: Victor de Boer
Second supervisor: David Ceolin
Company: has company::http://ttcmobile.com/
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

In the realm of database technologies, the reign of SQL is slowly coming to an end with the advent of many NoSQL (Not Only SQL) alternatives. Linked Data in the form of RDF is one of these, and is regarded to be highly effective when connecting datasets. We revised a real-world system for linking datasets based on a much more mainstream NoSQL technology, and by altering the approach to instead use Linked Data, we saw how we could improve on the current solution. The result was a more modular system living up to many of the promises of RDF. On the other hand, we also found that there for this use case are some obstacles in adopting Linked Data.

We saw indicators that more momentum needs to build up in order for RDF to gradually mature enough to be easily applied on use cases like this. The implementation we present and demonstrates a different flavour of Linked Data than the common scenario of publishing data for public reuse, and by applying the technology in business contexts we might be able to expand the possibilities of Linked Data.