Parallelization of Conjunctive Query Answering over Ontologies
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Summary
This paper presents a parallelizable, enhanced MSC method for the answering of ABox conjunctive queries, using a set of syntactic conditions that permit querying of large practical ontologies in reasonable time, and combining it with pattern matching to answer queries over role assertions.
- Published
- 2017-09-04
- Cited by
- 0
- References
- 21
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5086019
References
- Module Extraction for Efficient Object Queries over Ontologies with Large ABoxes
- Towards ABox Modularization of semi-expressive Description Logics
- SPARQL-DL: SPARQL Query for OWL-DL
- A Conjunctive Query Language for Description Logic Aboxes
- Reasoning and Revision in Hybrid Representation Systems
- SPARQL graph pattern rewriting for OWL-DL inference queries
- Partitioning OWL Knowledge Bases for Parallel Reasoning
- LUBM: A benchmark for OWL knowledge base systems
- Deduction in Concept Languages: From Subsumption to Instance Checking
- Reasoning with Individuals in Concept Languages
- SPARQL basic graph pattern processing with iterative MapReduce
- Data Complexity of Query Answering in Description Logics
- Ontologies and the semantic web
- The DL-Lite Family and Relations
- PigSPARQL: A SPARQL Query Processing Baseline for Big Data
- On the Scalability of Description Logic Instance Retrieval
- Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical Ontologies
- Complexity of Reasoning
- Optimized Reasoning in Description Logics Using Hypertableaux
- SPARQL Query Answering over OWL Ontologies
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