Scottish Linked Data Interest Group Workshop 2013

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.

K-Drive published a data summarisation service

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 .

Dr. Honghan Wu gave a talk at STI Symposium on Research and Innovation in Horizon2020

Dr. Honghan Wu gave a talk at STI Symposium on Research and Innovation in Horizon2020. The title of the talk is `Integrated Development Environment of Linked Data Lifecycle

`. The idea is to utilise K-Drive’s outcomes (Linked Data Exploitation techniques) in a linked data publishing and consuming framework especially for dealing with Big Data challenges of data variety and dynamics.

Dr. Boris Villazón-Terrazas is going to give a seminar in CSD

Dr. Boris Villazón-Terrazas, the seconded K-Driver from iSOCO, will give a seminar in the computing science department of Aberdeen University. Detailed information is as follows.

Date/Time: 14:00-15:00 Monday 7th Oct Location: 203 Meston Building

Title: Linked Enterprise Data – Iterative and Incremental Life Cycle

Abstract: Linked Data is the application of Semantic Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. Linked Data offers a huge potential for enterprise applications, e.g., for the integration and the management of data within and across enterprises. With Linked Data, enterprises have a unique opportunity to cooperate in their use of shared data without the costs of extensive coordination. In this talk we are going to present our approach for implementing Linked Data technologies within a Company .

 

Dr. Jeff Pan gave a seminar at IBM Italy

Dr. Jeff Pan gave a seminar at IBM Italy on 19th, September, 2013. His talk is titled:

It noticing so, Optimal and “Good Enough” Approximations for Semantic Reasoning.

Abstract: The talk will illustrate the challenges of reasoning with semantic data, discuss different reasoning strategies, and particularly focus on the approximation techniques. Two approximation technologies, namely the optimal semantic approximation and the “good enough” syntactic approximation, and their applications in the context of the K-Drive project, will be introduced.

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