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KMi Seminars
EUCLID Module 1: Linked Data
This event took place on Monday 01 October 2012 at 13:00

 
Dr Barry Norton Solutions Architect, Ontotext


This module aims to provide a general overview of the main topics related to using Linked Data. It is only an introduction and some of the topics are only mentioned and then discussed in greater detail in one of the following modules. The main goal of this module is to describe the overall motivating scenario and to teach the fundamental Linked Data principles, while briefly describing the context of the technologies and possible application solutions.



The covered topics are:




  1. Motivation scenario


  2. Linked Data foundations (introduction to the underlying technologies - HTTP, URIs, XML, RDF, SPARQL)


    1. Evolution of the Web


    2. Web technology basics (HTTP, URIs)


    3. Describing and exchanging data (XML)


    4. Semantics on the Web


    5. Querying semantic data (SPARQL)




  3. Introduction to Linked Data


    1. Principles of Linked Data


    2. The Web of Data





Click to download the slides for this presentation - PDF document (5Mb)





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KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.