Zobrazeno 1 - 10
of 7 621
pro vyhledávání: '"description logic"'
Autor:
Eyad Algahtani
Publikováno v:
IEEE Access, Vol 12, Pp 130884-130895 (2024)
This article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inducti
Externí odkaz:
https://doaj.org/article/d43473e2e4474178882045687413fe83
Autor:
Eyad Algahtani
Publikováno v:
IEEE Access, Vol 12, Pp 89113-89123 (2024)
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for induc
Externí odkaz:
https://doaj.org/article/25dbc1dd646a41fb9826342a8e6be4fb
Publikováno v:
Analytics, Vol 2, Iss 2, Pp 485-508 (2023)
Many scientific fields show great interest in the extraction and processing of spatiotemporal data, such as medicine with an emphasis on epidemiology and neurology, geology, social sciences, meteorology, and a great interest is also observed in the s
Externí odkaz:
https://doaj.org/article/8c91df29f26b4c2e957f53a35dc26e46
Autor:
Baader, Franz, Wassermann, Renata
Removing unwanted consequences from a knowledge base has been investigated in belief change under the name contraction and is called repair in ontology engineering. Simple repair and contraction approaches based on removing statements from the knowle
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A92632
https://tud.qucosa.de/api/qucosa%3A92632/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A92632/attachment/ATT-0/
Autor:
Baader, Franz, Fernandez Gil, Oliver
Unification has been introduced in Description Logic (DL) as a means to detect redundancies in ontologies. In particular, it was shown that testing unifiability in the DL EL is an NP-complete problem, and this result has been extended in several dire
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91012
https://tud.qucosa.de/api/qucosa%3A91012/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91012/attachment/ATT-0/
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0004
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0011
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0009
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0010
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Ontologies can provide a valuable role in the work of cancer registration, particularly as a tool for managing and navigating the various classification systems and coding rules. Further advantages accrue from the ability to formalise the coding rule
Externí odkaz:
https://doaj.org/article/4ee0ee30e2964b148366ea626a322f76