Internet of Things Garage

End-User Development for Linked-Data Observatories

Making Linked Data Discoverable through End-User Development (EUD) Techqniues to support Bioscience and Wildlife Research in the Context of Data Observatories

Linked Data is a way of structuring data in an interconnected system to make it accessible and machines readable. By linking the data together, it will become more valuable. That’s because once the data get linked it will become traversable and we will be able to see the relationships easily. For example, when we retrieve the famous “Mr. Bean” TV Show node, we can easily retrieve information like how many episodes the show has and who is the main actor. Then, we can jump to the actor node and list all the other shows he participated in. Besides, the data will follow a specific schema that makes it easily understood by machines as well as human.

Unfortunately, even though the data is human-readable, it is very difficult for non-expert users to retrieve it due to the fact that Linked Data will need a good understanding of Semantic query. Learning Semantic query (i.e., SPARQL Query Language) is not an easy job for non-expert users and it is unlikely end-users will use it.

This project primary objective is to make the Linked Data more accessible and allow the non-technical end-user (and here we mean by end-user the Bioscience Researchers) to perform their job more efficiently. The end-user should accomplish their regular job faster by using our special user-interface. The naive user won’t need to have any experience in using SPARQL or any other query language to retrieve the data. Besides, expert users will perform their job easier in less time. This project composes three main objectives:


Team



Partners

Danau Girang Field Centre

Danau Girang is a collaborative research and training facility managed by Sabah Wildlife Department and Cardiff University.


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