Ghent University Academic Bibliography

Advanced

Semantic technology classification: a defence and security case study

Dirk Thorleuchter UGent and Dirk Van den Poel UGent (2011) 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). p.36-39
abstract
In the last years, an increasing collaboration between defense and (civil) security, especially in technological areas can be observed. Here, an approach that automatically extracts relationships among defense - based technologies and security - based technologies is introduced. Information about these relationships can be used as planning support to defense and security - based technological research planners specifically for collaboration decisions. This approach uses machine learning techniques as supervised learning methods and a multi-label text classification algorithm to identify related technologies in different technological lists or taxonomies. Additionally, a web mining approach is used to create training examples. Similarities are computed by use of Jaccard's coefficient and by use of the fuzzy alpha cut method. Further, this approach uses standard text mining methods to prepare unstructured textual information.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE)
pages
36 - 39
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE)
conference location
Bali, Indonesia
conference start
2011-08-04
conference end
2011-08-07
Web of Science type
Conference Paper
Web of Science id
12217961
ISBN
9781424499854
DOI
10.1109/URKE.2011.6007833
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2039231
handle
http://hdl.handle.net/1854/LU-2039231
date created
2012-02-21 15:27:43
date last changed
2012-02-24 09:20:27
@inproceedings{2039231,
  abstract     = {In the last years, an increasing collaboration between defense and (civil) security, especially in technological areas can be observed. Here, an approach that automatically extracts relationships among defense - based technologies and security - based technologies is introduced. Information about these relationships can be used as planning support to defense and security - based technological research planners specifically for collaboration decisions. This approach uses machine learning techniques as supervised learning methods and a multi-label text classification algorithm to identify related technologies in different technological lists or taxonomies. Additionally, a web mining approach is used to create training examples. Similarities are computed by use of Jaccard's coefficient and by use of the fuzzy alpha cut method. Further, this approach uses standard text mining methods to prepare unstructured textual information.},
  author       = {Thorleuchter, Dirk and Van den Poel, Dirk},
  booktitle    = {2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE)},
  isbn         = {9781424499854},
  language     = {eng},
  location     = {Bali, Indonesia},
  pages        = {36--39},
  publisher    = {IEEE},
  title        = {Semantic technology classification: a defence and security case study},
  url          = {http://dx.doi.org/10.1109/URKE.2011.6007833},
  year         = {2011},
}

Chicago
Thorleuchter, Dirk, and Dirk Van den Poel. 2011. “Semantic Technology Classification: a Defence and Security Case Study.” In 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE), 36–39. Piscataway, NJ, USA: IEEE.
APA
Thorleuchter, D., & Van den Poel, D. (2011). Semantic technology classification: a defence and security case study. 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE) (pp. 36–39). Presented at the 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Thorleuchter D, Van den Poel D. Semantic technology classification: a defence and security case study. 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). Piscataway, NJ, USA: IEEE; 2011. p. 36–9.
MLA
Thorleuchter, Dirk, and Dirk Van den Poel. “Semantic Technology Classification: a Defence and Security Case Study.” 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). Piscataway, NJ, USA: IEEE, 2011. 36–39. Print.