Abstra: Toward Generic Abstractions for Data of Any Model

Author:

Barret Nelly1,Manolescu Ioana1,Upadhyay Prajna2

Affiliation:

1. Institut Polytechnique de Paris, Palaiseau, France

2. Inria, Palaiseau, France

Funder

DIM RFSI

Agence Nationale de la Recherche

Publisher

ACM

Reference21 articles.

1. A. C. Anadiotis , O. Balalau , C. Conceicao , H. Galhardas , M. Y. Haddad , I. Manolescu , T. Merabti , and J. You . Graph integration of structured, semistructured and unstructured data for data journalism . Information Systems , July 2021 . A. C. Anadiotis, O. Balalau, C. Conceicao, H. Galhardas, M. Y. Haddad, I. Manolescu, T. Merabti, and J. You. Graph integration of structured, semistructured and unstructured data for data journalism. Information Systems, July 2021.

2. CEUR Workshop Proceedings;Angles R.,2018

3. DBpedia: A Nucleus for a Web of Open Data

4. M. A. Baazizi , C. Berti , D. Colazzo , G. Ghelli , and C. Sartiani . Human-in-the-loop schema inference for massive JSON datasets . In EDBT , 2020 . M. A. Baazizi, C. Berti, D. Colazzo, G. Ghelli, and C. Sartiani. Human-in-the-loop schema inference for massive JSON datasets. In EDBT, 2020.

5. The Berlin SPARQL Benchmark

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