print

How the apriori algorithm can help to find semantic duplicates in ontology

author
Astrova, Irina
Koschel, Arne
Lee, Su Ling
statement of authorship
Irina Astrova, Arne Koschel, Su Ling Lee
source
Knowledge-Based Software Engineering: 2020 : Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24-26, 2020
location of publication
Cham
publisher
Springer
year of publication
2020
pages
p. 178-191
series
Learning and analytics in intelligent systems ; 19
conference name, date
13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), August 24-26, 2020
conference location
Larnaca, Cyprus
url
https://doi.org/10.1007/978-3-030-53949-8_16
subject term
semantika
ontoloogiad (informaatika)
ostukorv (majandus)
algoritmid
keyword
ontolgy
semantic heterogeneity
market basket analysis
apriori algorithm
similar attributes
OntoLife
ISBN
978-3-030-53948-1
notes
Bibliogr.: 20 ref
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Applied artificial intelligence group
Astrova, I., Koschel, A., Lee, S.L. How the apriori algorithm can help to find semantic duplicates in ontology // Knowledge-Based Software Engineering: 2020 : Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24-26, 2020. Cham : Springer, 2020. p. 178-191. (Learning and analytics in intelligent systems ; 19). https://doi.org/10.1007/978-3-030-53949-8_16