Scalable resource description framework clustering: A distributed approach for analyzing knowledge graphs using minHash locality sensitive hashing-Reference-Cited by-同舟云学术

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Scalable resource description framework clustering: A distributed approach for analyzing knowledge graphs using minHash locality sensitive hashing

Published:2022-03-27 Issue:15 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Agarwal Pratik¹,Bahadur Sinha Bam²^ORCID

Affiliation:

1. Crowd Engineering Umlaut Company Aachen North Rhine‐Westphalia Germany

2. Computer Science and Engineering Indian Institute of Information Technology Ranchi Ranchi Jharkhand India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6966

Reference26 articles.

1. Supporting contextualized learning with linked open data

2. An Introduction to the Resource Description Framework

3. Evolution of recommender paradigm optimization over time

4. Mining user–user communities for a weighted bipartite network using spark GraphFrames and Flink Gelly

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