MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic
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 inductive logic learning in DL (the <inline-formula>...
Saved in:
| Main Author: | Eyad Algahtani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10676962/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count
by: Franz Baader, et al.
Published: (2025-05-01) -
Fuzzy Epistemic Logic: Fuzzy Logic of Doxastic Attitudes
by: Jinjin Zhang, et al.
Published: (2025-03-01) -
Logical realism and the metaphysics of logic
by: Michaela Markham McSweeney, et al.
Published: (2020-02-01) -
Towards an algebrization of a linear temporal logic
by: Romulo Albano de Freitas, et al.
Published: (2025-07-01) -
Program Logic Foundations: Putting the Logic Back into Program Logic
by: Andrew J. Hawkins
Published: (2020-12-01)