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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
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website