Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach-Reference-Cited by-同舟云学术

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Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach

Published:2022-04-24 Issue: Volume: Page:1-21
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Mohamed Heba¹²^ORCID,Fathalla Said¹²^ORCID,Lehmann Jens¹³^ORCID,Jabeen Hajira⁴^ORCID

Affiliation:

1. Smart Data Analytics (SDA), University of Bonn, Bonn, Germany

2. Faculty of Science, University of Alexandria, Egypt

3. NetMedia Department, Fraunhofer IAIS, Dresden Lab, Germany

4. GESIS-Leibniz Institute for the Social Sciences, Cologne, Germany

Funder

H2020 European Institute of Innovation and Technology

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2022.2062683

Reference34 articles.

1. CLOE: a cross-lingual ontology enrichment using multi-agent architecture

2. LODStats – An Extensible Framework for High-Performance Dataset Analytics

3. The design and implementation of the redland RDF application framework

4. Creating voiD descriptions for Web-scale data

5. Watson, more than a Semantic Web search engine

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1. Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom;IEEE Access;2023

2. Digital Entrepreneurship: What is New if Anything?;Business & Information Systems Engineering;2022-02

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