Presentaciones a Congresos
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Browsing Presentaciones a Congresos by Subject "BASES DE DATOS ORIENTADAS A GRAFOS"
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ponencia en congreso.listelement.badge Modeling and querying sensor networks using temporal graph databases(2022) Kuijpers, Bart; Soliani, Valeria; Vaisman, Alejandro Ariel"Transportation networks (e.g., river systems or road net works) equipped with sensors that collect data for several different pur poses can be naturally modeled using graph databases. However, since networks can change over time, to represent these changes appropriately, a temporal graph data model is required. In this paper, we show that sensor-equipped transportation networks can be represented and queried using temporal graph databases and query languages. For this, we extend a recently introduced temporal graph data model and its high-level query language T-GQL to support time series in the nodes of the graph. We redefine temporal paths and study and implement a new kind of path, called Flow path. We take the Flanders’ river system as a use case."ponencia en congreso.listelement.badge Modelling and querying star and snowflake warehouses using graph databases(2019) Vaisman, Alejandro Ariel; Besteiro, María Florencia; Valverde Melito, Maximiliano Javier"In current “Big Data” scenarios, graph databases are increasingly being used. Online Analytical Processing (OLAP) operations can expand the possibilities of graph analysis beyond the traditional graphbased computation. This paper studies graph databases as an alternative to implement star and snowflake schemas, the typical choices for data warehouse design. For this, the MusicBrainz database is used. A data warehouse for this database is designed, and implemented over a Postgres relational database. This warehouse is also represented as a graph, and implemented over the Neo4j graph database. A collection of typical OLAP queries is used to compare both implementations. The results reported here show that in ten out of thirteen queries tested, the graph implementation outperforms the relational one, in ratios that go from 1.3 to 26 times faster, and performs similarly to the relational implementation in the three remaining cases."ponencia en congreso.listelement.badge Towards temporal graph database(2016) Campos, Alexander; Mozzino, Jorge; Vaisman, Alejandro Ariel"In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far. Tempo ral GBDs can capture, for example, the evolution of social networks across time, a relevant topic in data analysis nowadays. We propose a data model and query language (denoted TEG-QL) for temporal GDBs, based on the notion of attribute graphs. This allows a straightforward translation to Neo4J, a well-known GBD."