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Linked Open Data Survey and Development of RDB2RDF Evaluation Framework
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Linked open data is a relatively new way to publish data according to four principles. In this thesis a survey of tasks regarding areas such as SPARQL and publish relational databases as linked open data is surveyed to receive experience and get knowledge of time, complexity, maturity and agility ofthe different areas.

Data could be stored in different formats and ways, but the most common is that data is stored in relational databases. RDB2RDF is a group of tools used to convert relational databases to RDF and the functionalities of the tool svaries. To be able to choose tool to publish relational data with, an evaluation framework is developed in this thesis with the aim to help anyone to choose RDB2RDF tool. This is done through literature studies, interviews with a company, persons and looking at related work. Three tools are evaluated with the framework resulting in two tables and a short summary of information about each tool, which is used to choose tool to use in the survey.

The development of the framework in addition to the survey of tasks indicates that this is an interesting field for the future but that there are some problems due to stability and maturity.

Place, publisher, year, edition, pages
2016. , 62 p.
Series
UMNAD, 1084
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-128579OAI: oai:DiVA.org:umu-128579DiVA: diva2:1052705
External cooperation
Knowit
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2016-12-07 Created: 2016-12-07 Last updated: 2016-12-07Bibliographically approved

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  • apa
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Output format
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