Rule-based Ontologies
Rule-Based Ontologies is a formal knowledge representation framework that consists of a structured set of declarative rules and logical axioms used to define, constrain, and infer relationships among entities within a domain, distinguished by its reliance on explicit rule-based reasoning to specify semantic hierarchies and conceptual classifications.
196
Publications
6.7K
Citations
560
Authors
239
Institutions
Publications per year
2017–2026
35
Parents
196
From SPARQL to rules (and back)
Axel Polleres · 2007 · 192 citations
Learning ontology from relational database
Man Li, Xiaoyong Du, Shan Wang · 2005 · 147 citations
Implementing an Inference Engine for RDFS/OWL Constructs and User-Defined Rules in Oracle
Zhe Wu, George Eadon, Souripriya Das et al. · 2008 · 121 citations
1–5 of 196
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Massachusetts Institute of Technology, United States
4 publications · 245 citations
4
h-index
1–5 of 560
239
Stanford University
Stanford, United States
8 h-index
19 publications
342 citations
University of Oxford
Oxford, United Kingdom
7 h-index
13 publications
1.6K citations

TU Wien
Vienna, Austria
4 h-index
6 publications
185 citations
Oracle (United States)
Austin, United States
4 h-index
10 publications
1K citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
211 citations
Wuhan University
Wuhan, China
3 h-index
5 publications
75 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
3 h-index
4 publications
59 citations

Penza State University
Penza, Russia
3 h-index
3 publications
84 citations
1–8 of 239
Conference · 4 publications · 92 citations
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4 publications · 147 citations
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4 publications · 499 citations
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4 publications · 175 citations
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IJSWIS · 3 publications · 166 citations
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