Efficient Exploration of Interesting Aggregates in RDF Graphs-Reference-Cited by-同舟云学术

Efficient Exploration of Interesting Aggregates in RDF Graphs

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
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Author:

Diao Yanlei¹,Guzewicz Paweł¹,Manolescu Ioana²,Mazuran Mirjana²

Affiliation:

1. Ecole Polytechnique, Institut Polytechnique de Paris & Inria, Palaiseau, France

2. Inria & Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France

Funder

European Research Council

Agence Nationale de la Recherche

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3457307

Reference49 articles.

1. Sameet Agarwal Rakesh Agrawal Prasad Deshpande Ashish Gupta Jeffrey F. Naughton Raghu Ramakrishnan and Sunita Sarawagi. 1996. On the Computation of Multidimensional Aggregates. In VLDB. VLDB Endowment Mumbai (Bombay) India 506--521. Sameet Agarwal Rakesh Agrawal Prasad Deshpande Ashish Gupta Jeffrey F. Naughton Raghu Ramakrishnan and Sunita Sarawagi. 1996. On the Computation of Multidimensional Aggregates. In VLDB. VLDB Endowment Mumbai (Bombay) India 506--521.

2. Efficient OLAP operations for RDF analytics

3. Identifying exceptional (dis)agreement between groups

4. Using entropy metrics for pruning very large graph cubes

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