Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85544
Type: Artigo
Title: Querying and managing complex data
Title Alternative: 
Author: Gomes-Jr., Luiz
Santanchè, André
Abstract: Advances in models, algorithms and computing power enabled complex network research to be applied in several areas. From social sciences to the internet, from microscopic to macroscopic phenomena, from natural to man-made networks, network analysis have expanded its application scenarios to most areas of human activity. Although research in complex networks has generated tools that cover a wide range of topics, the analysis is still largely restricted to experts and done in ad-hoc settings. Our goal is to develop data querying and management mechanisms for complex networks. We are defining and developing the Complex Data Management System (CDMS), which is intended to provide database-like means to interact with complex networks. Our current query model is based on ranking clauses defined over a Spreading Activation (SA) processing model. SA allows us to compose metrics that can capture several aspects of the dynamics of the underlying network. © Springer International Publishing Switzerland 2015.
Advances in models, algorithms and computing power enabled complex network research to be applied in several areas. From social sciences to the internet, from microscopic to macroscopic phenomena, from natural to man-made networks, network analysis have e
Subject: Redes complexas
Banco de dados
Representações dos grafos
Modelagem de dados
Linguagens Query (Computação)
Processamento de consulta
Country: Alemanha
Editor: Springer
Citation: Advances In Intelligent Systems And Computing. Springer Verlag, v. 312, n. , p. 317 - 321, 2015.
Rights: fechado
Fechado
Identifier DOI: 10.1007/978-3-319-10518-5_24
Address: https://link.springer.com/chapter/10.1007/978-3-319-10518-5_24
Date Issue: 2015
Appears in Collections:IC - Artigos e Outros Documentos

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