A Low-Level Index for Distributed Logic Programming
Thomas Prokosch (Institute for Informatics, Ludwig-Maximilian, University of Munich, Germany)

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.
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Taxonomy
TopicsAdvanced Database Systems and Queries · Logic, Reasoning, and Knowledge · Data Management and Algorithms
