Difference between revisions of "Combining Systems with Linked Open Data"

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|Project end date=2015/07/07
 
|Project end date=2015/07/07
 
|Supervisor=Victor de Boer
 
|Supervisor=Victor de Boer
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|Second supervisor=Stefan Schlobach
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|Second supervisor=David Ceolin
 
|Company=http://ttcmobile.com/
 
|Company=http://ttcmobile.com/
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|Thesis title=Combining Systems with Linked Open Data
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|Thesis title=The Implications of Different Storage Models when Linking Heterogeneous User Information
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|Finished=No
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|Finished=Yes
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|Thesis=
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|Thesis=Thesis.pdf
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|Poster=
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|Poster=Posternaam.pdf
 
}}
 
}}
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When facing challenges like integrating datasets, ameliorating reusability and answering complex questions about implications in the data, semantic techniques like RDF (Resource Description Framework) can be of great value. These technologies promote an open web of information, making sharing and taking part of information much easier, but can also raise problems like dubious data reliability and/or privacy issues.  
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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.
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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.  
  
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TTC (Text-to-change) is a company for equipping people and organizations  in developing countries with high-quality information and important knowledge which could otherwise be hard to acquire for them. The company is currently posed with the issue of maintaining multiple projects within different systems, covering different and/or overlapping problems. In the near future, they want to organize their data to be able to merge different systems with one another and to get a better overview of the information. They are also planning to implement visualization tools for different representations the data. Furthermore, the shift from traditional phones (also known as feature phones) towards smart phones is soon expected to happen among the target users, which opens up for opportunities of implementing more intricate services.
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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.
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We want to investigate the possibilities of using semantic technology on these datasets and examine the extended possibilities of this method as opposed to the existing traditional data structures. We will see how RDF would benefit the objectives of the company as well as looking for additional information that could be inferred from the data. As subquestions, we will also investigate privacy concerns that could be raised as well as exploring which external datasets could be integrated with the data.
 

Latest revision as of 09:36, 4 November 2015


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



..................................

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.

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