Expressiveness within Sequence Datalog

Motivated by old and new applications, we investigate Datalog as a language for sequence databases. We reconsider classical features of Datalog programs, such as negation, recursion, intermediate predicates, and relations of higher arities. We also consider new features that are useful for sequences, notably, equations between path expressions, and “packing”. Our goal is to clarify the relative expressiveness of all these different features, in the context of sequences. Towards our goal, we establish a number of redundancy and primitivity results, showing that certain features can, or cannot, be expressed in terms of other features. These results paint a complete picture of the expressiveness relationships among all possible Sequence Datalog fragments that can be formed using the six features that we consider.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Database Systems
Published
2025-05-01
DOI
https://doi.org/10.1145/3732283
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expressiveness within Sequence Datalog

Heba Aamer, Jan Hidders, Jan Paredaens, Jan Van den Bussche
ACM Transactions on Database Systems
Algorithms and Data Compression
article

Expressiveness within Sequence Datalog

Heba Aamer, Jan Hidders, Jan Paredaens, Jan Van den Bussche
article en

Abstract

Motivated by old and new applications, we investigate Datalog as a language for sequence databases. We reconsider classical features of Datalog programs, such as negation, recursion, intermediate predicates, and relations of higher arities. We also consider new features that are useful for sequences, notably, equations between path expressions, and “packing”. Our goal is to clarify the relative expressiveness of all these different features, in the context of sequences. Towards our goal, we establish a number of redundancy and primitivity results, showing that certain features can, or cannot, be expressed in terms of other features. These results paint a complete picture of the expressiveness relationships among all possible Sequence Datalog fragments that can be formed using the six features that we consider.

ACM Transactions on Database SystemsVol. 50(3)
Vrije Universiteit Brussel (BE), University of Antwerp (BE), Hasselt University (BE), Birkbeck, University of London (GB)
Openalex Percentile: Top 96%
Algorithms and Data Compression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.