MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic

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>...

Full description

Saved in:
Bibliographic Details
Main Author: Eyad Algahtani
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning
inductive logic programming
description logic
GPU
big data
MapReduce
Online Access:https://ieeexplore.ieee.org/document/10676962/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10676962/

Similar Items