KMi Seminars
KMi invites external speakers to present their work to the lab. We also welcome approaches from researchers who are interested to present their work. Please contact either the KMi staff member who is working in your field, or the seminars coordinator, Anna De Liddo.

Events take place at the KMi Podium (Berrill Building, 4th Floor North) unless otherwise stated.

To add/remove yourself from KMi Seminar announcements, enter your email address and select kmi-seminar-list from the list on this page. Below are past and forthcoming speakers.

Forthcoming Events
Recent Events

Interpreting Linked Data as ontologies: doctrines and creeping issues
Wednesday 15 May 2013
Interpreting Linked Data as ontologies: doctrines and creeping issues
Dr. Alessandro Adamou The Open University
Relational Database to RDF (RDB2RDF)
Wednesday 15 May 2013
Relational Database to RDF (RDB2RDF)
Juan Sequeda Department of Computer Sciences, University of Texas, Austin
Ephorus: The stony road of innovation
Thursday 25 April 2013
Ephorus: The stony road of innovation
Joep Chappin Ephorus
 
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