KMi Seminars
Tools and Technology for supporting scholars in their task of academic literature sense-making
This event took place on Monday 01 December 2003 at 13:00

 
Neil Benn KMi, The Open University

ABSTRACT: Academics aim to construct knowledge claims about 'the world', position these claims within the accumulated knowledge of a particular discipline, and negotiate these claims within the expert community. Current information and communication technologies play an important part by enabling greater access to academic literature. However, there is currently not as much support for researchers in their analysis of academic literature, which is the critical underpinning of the scholarly activities listed above. Ongoing work in knowledge-based technologies provides insights into how technology might assist in scholarly analysis. My research aim is to formally represent the 'scholarly knowledge' in a particular research field and investigate the kinds of 'intelligent' services that might be provided to users in order to assist them in making sense of academic literature and mapping research domains. In this talk I will recap the progress I have made in the first year of my PhD research and outline a plan of action for achieving my aims for the remainder of my research.

 
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