KMi Seminars
Pervasive Possibilities as Publishing
This event took place on Wednesday 22 June 2005 at 12:30

 
Bill McDaniel Digital Media Lab, Office of Technology, Adobe Systems, Inc.

CRC Seminar

Many of the challenges of ubiquitous computing (including location and context awareness) and those of the semantic web align along some very interesting axes. This talk will discuss how emerging semantic technologies such as OWL, Pellet, and increased volumes of metadata can help provide solutions to the LOCA (location and context awareness) problem in pervasive computing. Methods of synthesizing a solution between these two domains will be discussed. Some possible use cases involving a Semantically Powered Adaptive Computing Environment (SPACE) will be described as well.

Bill McDaniel is a Sr. Scientist at Adobe Systems and spends most of his time researching the implications of having large amounts of metadata available in both local and enterprise level environments. Portions of this talk are based on his recent efforts defining a vision of future publishing for Adobe. He has co-authored several books on technology and the future, including Critical Mass: A Primer for Living with the Future.

 
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.

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