The Open UniversitySkip to content
 

Text based knowledge discovery with information flow analysis

Song, Dawei and Bruza, Peter (2006). Text based knowledge discovery with information flow analysis. In: Not Set ed. Frontiers of WWW Research and Development - APWeb 2006. Lecture Notes in Computer Science, Volume 3841/2006. Springer: Berlin, pp. 692–701.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/11610113_60
Google Scholar: Look up in Google Scholar

Abstract

Information explosion has led to diminishing awareness: disciplines are becoming increasingly specialized; individuals and groups are becoming ever more insular. This paper considers how awareness can be enhanced via text-based knowledge discovery. Knowledge representation is motivated from a socio-cognitive perspective. Concepts are represented as vectors in a high dimensional semantic space automatically derived from a text corpus. Information flow computation between vectors is proposed as a means of discovering implicit associations between concepts. The potential of information flow analysis in text based knowledge discovery has been demonstrated by two case studies: literature-based scientific discovery by attempting to simulate Swanson’s Raynaud-fish oil discovery in medical texts; and automatic category derivation from document titles. There is some justification to believe that the techniques create awareness of new knowledge.

Item Type: Book Chapter
ISBN: 3-540-31142-4, 978-3-540-31142-3
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Item ID: 9322
Depositing User: Users 6898 not found.
Date Deposited: 28 Sep 2007
Last Modified: 22 Jun 2012 11:44
URI: http://oro.open.ac.uk/id/eprint/9322
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk