000079359 001__ 79359
000079359 005__ 20191113135214.0
000079359 0247_ $$2doi$$a10.1016/j.ins.2017.01.029
000079359 0248_ $$2sideral$$a97835
000079359 037__ $$aART-2017-97835
000079359 041__ $$aeng
000079359 100__ $$0(orcid)0000-0001-8531-353X$$aBernad, Jorge$$uUniversidad de Zaragoza
000079359 245__ $$aHandling location uncertainty in probabilistic location-dependent queries
000079359 260__ $$c2017
000079359 5060_ $$aAccess copy available to the general public$$fUnrestricted
000079359 5203_ $$aLocation-based services have motivated intensive research in the field of mobile computing, and particularly on location-dependent queries. Existing approaches usually assume that the location data are expressed at a fine geographic precision (physical coordinates such as GPS). However, many positioning mechanisms are subject to an inherent imprecision (e.g., the cell-id mechanism used in cellular networks can only determine the cell where a certain moving object is located). Moreover, even a GPS location can be subject to an error or be obfuscated for privacy reasons. Thus, moving objects can be considered to be associated not to an exact location, but to an uncertainty area where they can be located. In this paper, we analyze the problem introduced by the imprecision of the location data available in the data sources by modeling them using uncertainty areas. To do so, we propose to use a higher-level representation of locations which includes uncertainty, formalizing the concept of uncertainty location granule. This allows us to consider probabilistic location-dependent queries, among which we will focus on probabilistic inside (range) constraints. The adopted model allows us to develop a systematic and efficient approach for processing this kind of queries. An experimental evaluation shows that these probabilistic queries can be supported efficiently.
000079359 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
000079359 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000079359 590__ $$a4.305$$b2017
000079359 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b12 / 148 = 0.081$$c2017$$dQ1$$eT1
000079359 592__ $$a1.635$$b2017
000079359 593__ $$aArtificial Intelligence$$c2017$$dQ1
000079359 593__ $$aComputer Science Applications$$c2017$$dQ1
000079359 593__ $$aTheoretical Computer Science$$c2017$$dQ1
000079359 593__ $$aInformation Systems and Management$$c2017$$dQ1
000079359 593__ $$aSoftware$$c2017$$dQ1
000079359 593__ $$aControl and Systems Engineering$$c2017$$dQ1
000079359 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000079359 700__ $$0(orcid)0000-0003-4239-8785$$aBobed, Carlos$$uUniversidad de Zaragoza
000079359 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza
000079359 700__ $$0(orcid)0000-0002-7462-0080$$aMena, Eduardo$$uUniversidad de Zaragoza
000079359 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000079359 773__ $$g388-389 (2017), 154-171 [15 p.]$$pInf. sci.$$tInformation Sciences$$x0020-0255
000079359 8564_ $$s499698$$uhttps://zaguan.unizar.es/record/79359/files/texto_completo.pdf$$yPostprint
000079359 8564_ $$s116282$$uhttps://zaguan.unizar.es/record/79359/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000079359 909CO $$ooai:zaguan.unizar.es:79359$$particulos$$pdriver
000079359 951__ $$a2019-11-13-13:45:44
000079359 980__ $$aARTICLE