Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento

Eduardo Moreira Freitas de Souza; Anderson Rossanez; Julio Cesar dos Reis; R. da Silva Torres

doi:10.5753/sbbd.2022.224301

Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento

Translated title of the contribution: Interactive Visualization of Knowledge Graphs Evolution

Eduardo Moreira Freitas de Souza, Anderson Rossanez, Julio Cesar dos Reis, R. da Silva Torres

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Abstract

Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal.

Translated title of the contribution	Interactive Visualization of Knowledge Graphs Evolution
Original language	Portuguese
Title of host publication	2023: Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados \| 2023: Proceedings of the 38th Brazilian Symposium on Databases
Publisher	Sociedade Brasileira de Computação
Pages	343-354
DOIs	https://doi.org/10.5753/sbbd.2022.224301
Publication status	Published - Sept 2022
Event	37th Brazilian Symposium on Databases - Buzios Duration: 19 Sept 2022 → 23 Sept 2022 Conference number: 37

Conference/symposium

Conference/symposium	37th Brazilian Symposium on Databases
City	Buzios
Period	19/09/22 → 23/09/22

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10.5753/sbbd.2022.224301

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Moreira Freitas de Souza, E., Rossanez, A., dos Reis, J. C., & da Silva Torres, R. (2022). Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento. In 2023: Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados | 2023: Proceedings of the 38th Brazilian Symposium on Databases (pp. 343-354). Sociedade Brasileira de Computação. https://doi.org/10.5753/sbbd.2022.224301

@inproceedings{1c64dbebc51b440e85482cc415a40962,

title = "Visualiza{\c }cao interativa da evolu{\c }cao de grafos de conhecimento",

abstract = " Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal. ",

author = "\{Moreira Freitas de Souza\}, Eduardo and Anderson Rossanez and \{dos Reis\}, \{Julio Cesar\} and \{da Silva Torres\}, R.",

year = "2022",

month = sep,

doi = "10.5753/sbbd.2022.224301",

language = "Portugees",

pages = "343--354",

booktitle = "2023: Anais do XXXVIII Simp{\'o}sio Brasileiro de Bancos de Dados | 2023: Proceedings of the 38th Brazilian Symposium on Databases",

publisher = "Sociedade Brasileira de Computa{\c c}{\~a}o",

address = "Brazil",

note = "37th Brazilian Symposium on Databases ; Conference date: 19-09-2022 Through 23-09-2022",

}

Moreira Freitas de Souza, E, Rossanez, A, dos Reis, JC & da Silva Torres, R 2022, Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento. in 2023: Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados | 2023: Proceedings of the 38th Brazilian Symposium on Databases . Sociedade Brasileira de Computação, pp. 343-354, 37th Brazilian Symposium on Databases, Buzios, 19/09/22. https://doi.org/10.5753/sbbd.2022.224301

Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento. / Moreira Freitas de Souza, Eduardo; Rossanez, Anderson; dos Reis, Julio Cesar et al.
2023: Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados | 2023: Proceedings of the 38th Brazilian Symposium on Databases . Sociedade Brasileira de Computação, 2022. p. 343-354.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

TY - GEN

T1 - Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento

AU - Moreira Freitas de Souza, Eduardo

AU - Rossanez, Anderson

AU - dos Reis, Julio Cesar

AU - da Silva Torres, R.

N1 - Conference code: 37

PY - 2022/9

Y1 - 2022/9

N2 - Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal.

AB - Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal.

U2 - 10.5753/sbbd.2022.224301

DO - 10.5753/sbbd.2022.224301

M3 - Conference paper

SP - 343

EP - 354

BT - 2023: Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados | 2023: Proceedings of the 38th Brazilian Symposium on Databases

PB - Sociedade Brasileira de Computação

T2 - 37th Brazilian Symposium on Databases

Y2 - 19 September 2022 through 23 September 2022

ER -

Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento

Abstract

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