Semantrix: A Compressed Semantic Matrix
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | 2020 Data Compression Conference (DCC 2020) | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.endPage | 122 | es_ES |
| UDC.grupoInv | Laboratorio de Bases de Datos (LBD) | es_ES |
| UDC.startPage | 113 | es_ES |
| dc.contributor.author | Brisaboa, Nieves R. | |
| dc.contributor.author | Fariña, Antonio | |
| dc.contributor.author | Navarro, Gonzalo | |
| dc.contributor.author | Varela Rodeiro, Tirso | |
| dc.date.accessioned | 2024-11-19T14:51:51Z | |
| dc.date.available | 2024-11-19T14:51:51Z | |
| dc.date.issued | 2020-03 | |
| dc.description | The congress was held in Snowbird, Utah, USA. March 24-27, 2020 | es_ES |
| dc.description.abstract | [Abstract]: We present a compact data structure to represent both the duration and length of homogeneous segments of trajectories from moving objects in a way that, as a data warehouse, it allows us to efficiently answer cumulative queries. The division of trajectories into relevant segments has been studied in the literature under the topic of Trajectory Segmentation. In this paper, we design a data structure to compactly represent them and the algorithms to answer the more relevant queries. We experimentally evaluate our proposal in the real context of an enterprise with mobile workers (truck drivers) where we aim at analyzing the time they spend in different activities. To test our proposal under higher stress conditions we generated a huge amount of synthetic realistic trajectories and evaluated our system with those data to have a good idea about its space needs and its efficiency when answering different types of queries. | es_ES |
| dc.description.sponsorship | Funded in part by European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 690941 (project BIRDS). G.N. is funded by the Millennium Institute for Foundational Research on Data (IMFD), Chile. The Spanish group is funded by Xunta de Galicia/FEDER-UE [CSI: ED431G/01 and GRC: ED431C 2017/58]; by Xunta de Galicia/GAIN [IN848D-2017-2350417]; by Xunta de Galicia Conecta-Peme 2018 [Gema: IN852A 2018/14]; by MCIU-AEI/ FEDER-UE [ETOME-RDFD3: TIN2015-69951-R, Datos 4.0: TIN2016- 78011-C4-1-R, BIZDEVOPS: RTI2018-098309-B-C32]; and by FPI Program [BES-2017-081390] (T.V.R.). | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2017/58 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; IN848D-2017-2350417 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; IN852A 2018/14 | es_ES |
| dc.identifier.citation | N. Rodriguez Brisaboa, A. Farina, G. Navarro, y T. Varela Rodeiro, «Semantrix: A Compressed Semantic Matrix», en 2020 Data Compression Conference (DCC), Snowbird, UT, USA: IEEE, mar. 2020, pp. 113-122. doi: 10.1109/DCC47342.2020.00019 | es_ES |
| dc.identifier.doi | 10.1109/DCC47342.2020.00019 | |
| dc.identifier.issn | 2375-0359 | |
| dc.identifier.uri | http://hdl.handle.net/2183/40186 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | IEEE | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/690941 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2015-69951-R/ES/ETIQUETADO DE TRAYECTORIAS DE OBJETOS MOVILES PARA SU EXPLOTACION EFICIENTE EN RDF DATA CUBE COMPRIMIDO | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-78011-C4-1-R/ES/DATOS 4.0: RETOS Y SOLUCIONES-UDC | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098309-B-C32/ES/BIZDEVOPS-GLOBAL: UN FRAMEWORK TECNOLOGICO Y METODOLOGICO SOSTENIBLE PARA EL DESARROLLO DE SOFTWARE ALINEADO CON EL NEGOCIO EN DEVOPS GLOBAL | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BES-2017-081390/ES/ | es_ES |
| dc.relation.uri | https://doi.org/10.1109/DCC47342.2020.00019 | es_ES |
| dc.rights | Copyright © 2020, IEEE | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.subject | Data structures | es_ES |
| dc.subject | Data warehouses | es_ES |
| dc.subject | Query processing | es_ES |
| dc.subject | Semantics | es_ES |
| dc.subject | Trajectories | es_ES |
| dc.subject | Truck drivers | es_ES |
| dc.title | Semantrix: A Compressed Semantic Matrix | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 42f2c226-9868-4516-8efd-2cd3c6692034 | |
| relation.isAuthorOfPublication | 2fe2b113-791f-4229-a83a-311d0c8b5ce6 | |
| relation.isAuthorOfPublication | ba377c82-883d-4ed6-8700-a3d45ff9af17 | |
| relation.isAuthorOfPublication.latestForDiscovery | 42f2c226-9868-4516-8efd-2cd3c6692034 |
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