A Low-Level Index for Distributed Logic Programming

TL;DR

This paper introduces a low-level indexing structure for distributed logic programming that enhances performance and stability, addressing key challenges in data management and unification algorithms.

Contribution

It presents a novel low-level data structure for indexing large expression sets and demonstrates how low-level programming can optimize unification processes.

Findings

Efficient indexing of large expression sets achieved

Reduction in occur check operations in unification

Improved stability in distributed logic programming systems

Abstract

A distributed logic programming language with support for meta-programming and stream processing offers a variety of interesting research problems, such as: How can a versatile and stable data structure for the indexing of a large number of expressions be implemented with simple low-level data structures? Can low-level programming help to reduce the number of occur checks in Robinson's unification algorithm? This article gives the answers.