New Research Clarifies Path Query Complexity in Knowledge Bases.
Summary
This paper investigates the computational complexity of answering two-way regular path queries (RPQs) and conjunctive regular path queries (CRPQs) over knowledge bases governed by guarded existential rules. It shows that for linear existential rules, data complexity matches plain graph databases, and provides complexity bounds for various scenarios.
Why it matters
Understanding the computational complexity of path queries in knowledge bases is crucial for designing efficient and scalable systems that can reason over complex, interconnected data, especially in domains like semantic web and enterprise data integration.
How to implement this in your domain
- 1Evaluate current knowledge graph query performance, especially for complex navigational queries.
- 2Consult with knowledge engineering teams to understand the implications of different rule types (linear, guarded existential) on query complexity.
- 3Optimize database schema and indexing strategies based on the identified complexity bounds for specific query patterns.
- 4Consider using specialized query engines or reasoning systems designed to handle expressive ontologies and path queries efficiently.
Who benefits
Key takeaways
- The paper analyzes the complexity of regular path queries in ontology-mediated knowledge bases.
- For linear existential rules, data complexity for RPQs matches plain graph databases.
- Combined complexity varies, with bounds on predicate arity reducing it.
- For guarded rules, (C)RPQ answering complexity aligns with conjunctive queries.
Original post by Jean-Fran\c{c}ois Baget (LIRMM, Inria, University of Montpellier, CNRS, France), Meghyn Bienvenu (Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, France), Marie-Laure Mugnier (LIRMM, Inria, University of Montpellier, CNRS, France), Micha\"el Thomazo (Inria, DIENS, ENS, PSL University, CNRS, France)
"arXiv:2607.22636v1 Announce Type: new Abstract: Ontology-mediated query answering is concerned with the problem of answering queries over knowledge bases consisting of a database instance and an ontology. While most work in the area focuses on conjunctive queries (CQs), navigatio…"
View on XOriginally posted by Jean-Fran\c{c}ois Baget (LIRMM, Inria, University of Montpellier, CNRS, France), Meghyn Bienvenu (Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, France), Marie-Laure Mugnier (LIRMM, Inria, University of Montpellier, CNRS, France), Micha\"el Thomazo (Inria, DIENS, ENS, PSL University, CNRS, France) on X · view source
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