Dataciencia

Colección SciELO Chile

Serialization for Property Graphs

Indexado

WoS	WOS:000485054900005
Scopus	SCOPUS_ID:85065919869

DOI

10.1007/978-3-030-19093-4_5

Año

2019

Tipo

proceedings paper

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras

Abstract

Graph serialization is very important for the development of graph-oriented applications. In particular, serialization methods are fundamental in graph data management to support database exchange, benchmarking of systems, and data visualization. This paper presents YARS-PG, a data format for serializing property graphs. YARS-PG was designed to be simple, extensible and platform independent, and to support all the features provided by the current database systems based on the property graph data model.

Revista

Revista	ISSN
Communications In Computer And Information Science	1865-0929

Métricas Externas

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Disciplinas de Investigación

WOS
Sin Disciplinas

Scopus
Sin Disciplinas

SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional

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Autores - Afiliación

Ord.	Autor	Género	Institución - País
1	Tomaszuk, Dominik	Hombre	Univ Bialystok - Polonia Uniwersytet w Bialymstoku - Polonia
2	ANGLES-ROJAS, RENZO	Hombre	Universidad de Talca - Chile Núcleo Milenio Centro de Investigación de la Web Semántica - Chile
3	Szeremeta, Lukasz	-	Univ Bialystok - Polonia Uniwersytet w Bialymstoku - Polonia
4	Litman, Karol	Hombre	Univ Bialystok - Polonia Uniwersytet w Bialymstoku - Polonia
5	Cisterna, Diego	Hombre	Núcleo Milenio Centro de Investigación de la Web Semántica - Chile
6	Kozielski, S	-
7	Mrozek, D	-
8	Kasprowski, P	-
9	MalysiakMrozek, B	-
10	Kostrzewa, D	-

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Financiamiento

Fuente
Polish Ministry of Science and Higher Education
National Science Center, Poland
Narodowe Centrum Nauki
Millennium Institute for Foundational Research on Data
National Science Center, Poland (NCN) under research grant Miniatura 2 for Dominik Tomaszuk
Millennium Institute for Foundational Research on Data (Chile)
Narodowym Centrum Nauki
University of Bialystok

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Agradecimientos

Agradecimiento
This work was supported by the National Science Center, Poland (NCN) under research grant Miniatura 2 for Dominik Tomaszuk. This publication has received financial support from the Polish Ministry of Science and Higher Education under subsidy granted to the University of Bialystok for R&D and related tasks aimed at development of young scientists for Lukasz Szeremeta. Renzo Angles is funded by the Millennium Institute for Foundational Research on Data (Chile).
Acknowledgements. This work was supported by the National Science Center, Poland (NCN) under research grant Miniatura 2 for Dominik Tomaszuk. This publication has received financial support from the Polish Ministry of Science and Higher Education under subsidy granted to the University of Bialystok for R&D and related tasks aimed at development of young scientists for Lukasz Szeremeta. Renzo Angles is funded by the Millennium Institute for Foundational Research on Data (Chile).

Agradecimiento

This work was supported by the National Science Center, Poland (NCN) under research grant Miniatura 2 for Dominik Tomaszuk. This publication has received financial support from the Polish Ministry of Science and Higher Education under subsidy granted to the University of Bialystok for R&D and related tasks aimed at development of young scientists for Lukasz Szeremeta. Renzo Angles is funded by the Millennium Institute for Foundational Research on Data (Chile).

Acknowledgements. This work was supported by the National Science Center, Poland (NCN) under research grant Miniatura 2 for Dominik Tomaszuk. This publication has received financial support from the Polish Ministry of Science and Higher Education under subsidy granted to the University of Bialystok for R&D and related tasks aimed at development of young scientists for Lukasz Szeremeta. Renzo Angles is funded by the Millennium Institute for Foundational Research on Data (Chile).