Tech Reports

Tech Reports 2008

The Use of Ontologies for Improving Image Retrieval and Annotation
Techreport ID: kmi-08-08
Date: 2008
Author(s): Ainhoa Llorente Coto

A Process Memory Platform to Support Participatory Planning and Deliberation
Techreport ID: kmi-08-07
Date: 2008
Author(s): Anna De Liddo

Semantic Enrichment of Folksonomies
Techreport ID: kmi-08-06
Date: 2008
Author(s): Sofia Angeletou

Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta

Evolva: Towards Automatic Ontology Evolution
Techreport ID: kmi-08-04
Date: 2008
Author(s): Fouad Zablith

Modelling social context to improve online multimedia search
Techreport ID: kmi-08-03
Date: 2008
Author(s): Adam Rae

Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Date: 2008
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini

From Aristotle to Gabriel: A Summary of the Narratology Literature for Story Technologies
Techreport ID: kmi-08-01
Date: 2008
Author(s): Joanna Kwiat

Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web

Journal | 25 years of knowledge acquisition

Future Internet

Knowledge
Management Multimedia &
Information Systems Narrative
Hypermedia New Media Systems Semantic Web &
Knowledge Services

Multimedia and Information Systems is...

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