K-Drive is organising `Scottish Linked Data Interest Group Workshop 2013`, which will be on 2nd Dec., 2013. The venue will be Room 203 Meston building, Aberdeen University. The purpose of this workshop is to inform users of Linked Data some recent research results on exploiting linked data.
The workshop is free and open to anyone. Because the venue has limited capacity and to help with planning we’d like to know how many people are coming, so please register for the event here.
Scan to get the RDF data summarisation service
We are pleased to announce that a data summarisation servicewhich is to help users get
a quick understanding of RDF dataset. Users can submit the URL of the RDF data to get a live summarisation of it. The service is a result of K-Drive WP3 (Efficient and Scalable Query Generation). It will be used by students of Semantic Web Engineering Course (2013-2014) to help them finish their assessments. We will report feedbacks from the students later. Scan the image to the right to try it now!
Note: live summarisation only accepts files less than 3MB. For summarising larger data, you can drop an email to .
Marco Monti and Alessandro Faraotti, Marie Curie Research Fellows from IBM Italia, gave an industrial lecture to students of Semantic Web Engineering Course.
Marco Monti and Alessandro Faraotti from IBM Italia S.p.A. start their secondments in Aberdeen University. They will work on the work packages 5 and 6. Specifically, the tasks are as follows.
– T5.1 Data Stream Management: This task will focus on the updating and maintenance of dynamic medical knowledge bases(such as that for pathology guidelines knowledge).
– T6.1 Stream Maintenance: Due to the nature of stream reasoning, historical data will be potentially used in the future thus large volume of stream will be maintained.
IBM Italia S.p.A. has a wealth of experiences in applying Semantic technologies in dealing with real world use cases. Hence the secondments will definitely transfer valuable knowledge and experience to Aberdeen University. IBM researchers will work with their Aberdeen colleagues on the requirements, the state of the art, and solutions in exploiting data in the scenario of Personalized Treatments for oncology patients.