KMi Publications

Tech Reports

Tech Report kmi-00-09 Abstract


Scholarly Discourse as Computable Structure
Techreport ID: kmi-00-09
Date: 2000
Author(s): Simon Buckingham Shum, John Domingue and Enrico Motta
Download PDF

In their initial proposal for structural computing (SC), NŸrnberg et al. [18] point to hypertext argumentation systems as an example of an application domain in which structure is of first-order importance. In this paper we summarise the goals and implementation of a knowledge based hypertext environment called ScholOnto (for Scholarly Ontologies), which aims to provide researchers with computational support in representing and analysing the structure of scholarly claims, argumentation and perspectives. A specialised web server will provide a medium for researchers to contest the significance of concepts and emergent structures. In so doing, participants construct an evolving structure that reflects a community's understandings of its field, and which can support computational services for scholars. Using structural analyses of scholarly argumentation, we consider the connections with structural computing, and propose a number of requirements for generic SC environments.

Publication(s):

Second International Workshop on Structural Computing, San Antonio, Texas, June 3, 2000. ACM Hypertext 2000 [www.ht00.org]
 
KMi Publications
 

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