University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Probabilistic Topic Models for Learning Terminological Ontologies

Wei, W, Barnaghi, P and Bargiela, A (2010) Probabilistic Topic Models for Learning Terminological Ontologies IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 22 (7). pp. 1028-1040.

[img] PDF (deleted)
Probabilistic Topic Models for Learning Terminological Ontologies.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (1MB)
[img] PDF (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only

Download (33kB)
[img] PDF (deleted)
a38.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (521kB)
[img] ["document_typename_application/force-download" not defined]
TKDE2010.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (545kB)
Item Type: Article
Authors :
AuthorsEmailORCID
Wei, WUNSPECIFIEDUNSPECIFIED
Barnaghi, PUNSPECIFIEDUNSPECIFIED
Bargiela, AUNSPECIFIEDUNSPECIFIED
Date : 1 July 2010
Identification Number : https://doi.org/10.1109/TKDE.2009.122
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Information Systems, Engineering, Electrical & Electronic, Computer Science, Engineering, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, INFORMATION SYSTEMS, ENGINEERING, ELECTRICAL & ELECTRONIC, Knowledge acquisition, ontology learning, ontology, probabilistic topic models
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:02
Last Modified : 28 Mar 2017 15:02
URI: http://epubs.surrey.ac.uk/id/eprint/161484

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800