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Tech Report kmi-99-02 Abstract


Constituencies for Users: How to Develop them by Interpreting Logs of Web Site Access
Techreport ID: kmi-99-02
Date: 1999
Author(s): Michael J. Wright
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The number of electronic journals is growing as rapidly as the World Wide Web on which many are published. Readership of an electronic journal is important to quantify, just as it is for a printed journal. In maintaining the Journal of Interactive Media in Education (JIME), a scholarly electronic journal open to all, we require readership statistics more meaningful than the variations on the theme of "number of hits" given by many log analysis packages. Important aspects of JIME's open access are the decisions to not require subscription, nor the use of hidden tracking aids such as cookies. Readership information is acquired from the server log of client requests. We are investigating the identification of user sessions from such logs, and the development of classification of sessions into constituencies of readership. In this paper, we present the result of manual analysis from which we are developing automatic analysis mechanisms.

Publication(s):

AAAI Spring Symposium on Intelligent Agents in Cyberspace, March 22-24, 1999, Stanford University, California
 
KMi Publications 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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