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Efficient continuous top-k spatial keyword queries on road networks / Long Guo in Geoinformatica, vol 19 n° 1 (January - March 2015)  

Public [article]  inGeoinformatica > vol 19 n° 1 (January - March 2015) . - pp 29 - 60 Titre : Efficient continuous top-k spatial keyword queries on road networks Type de document : Article/Communication Auteurs : Long Guo, Auteur ; Jie Shao, Auteur ; Htoo Htet Aung, Auteur ; Kian-Lee Tan, Auteur Année de publication : 2015 Article en page(s) : pp 29 - 60 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] espace euclidien [Termes IGN] extraction de données [Termes IGN] géobalise [Termes IGN] géopositionnement [Termes IGN] requête spatiale [Termes IGN] réseau routier [Termes IGN] système d'information géographique [Termes IGN] traitement de données localisées Résumé : (auteur) With the development of GPS-enabled mobile devices, more and more pieces of information on the web are geotagged. Spatial keyword queries, which consider both spatial locations and textual descriptions to find objects of interest, adapt well to this trend. Therefore, a considerable number of studies have focused on the interesting problem of efficiently processing spatial keyword queries. However, most of them assume Euclidean space or examine a single snapshot query only. This paper investigates a novel problem, namely, continuous top-k spatial keyword queries on road networks, for the first time. We propose two methods that can monitor such moving queries in an incremental manner and reduce repetitive traversing of network edges for better performance. Experimental evaluation using large real datasets demonstrates that the proposed methods both outperform baseline methods significantly. Discussion about the parameters affecting the efficiency of the two methods is also presented to reveal their relative advantages. Numéro de notice : A2015-485 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0204-8 En ligne : https://doi.org/10.1007/s10707-014-0204-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77248 [article]

Mapping collaboration in open source geospatial ecosystem / Jie Shao in Transactions in GIS, vol 16 n° 4 (August 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 4 (August 2012) . - pp 581 - 597 Titre : Mapping collaboration in open source geospatial ecosystem Type de document : Article/Communication Auteurs : Jie Shao, Auteur ; M. Jackson, Auteur ; Jeremy Morley, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 581 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse diachronique [Termes IGN] logiciel libre [Termes IGN] programmation informatique [Termes IGN] réseau social Résumé : (Auteur) Over the last decade, there has been a tremendous growth and exploitation of open source geospatial software and technologies. A combination of factors is driving this momentum, including the contributions made by hundreds of developers and the leading role played by the Open Source Geospatial Foundation (OSGeo), aiming primarily to support and promote the collaborative development of open source geospatial technologies and data. This article seeks to map out the social history of collaborative activities within the OSGeo ecosystem. We used the archival logs of developers' contributions, specifically looking for boundary spanning activities where contributions crossed multiple projects. The analysis and visualization of these activities allow us to have a better understanding of the role of boundary spanning in the resourcing of each project, the incubation mechanism advocated by OSGeo, and the significance of the social interrelatedness among projects. The data consisted of the subversion (SVN) commit history made by individual developers in the programming code repository. We applied several network analytical and visualization techniques to explore the data. Our findings indicate that more than one in seven developers spanned multiple projects which potentially had the effects of shaping the projects' directions, and increased knowledge flow and innovation. In addition, the OSGeo's incubation mechanism provided an important encouragement for boundary spanning and increased knowledge sharing. By studying the social history of contributions, further tools can be developed in future to assist tracking of the social history, and make developers mindful of the significance of the interdependence among projects and hence continuously contribute to the health of the OSGeo ecosystem. Numéro de notice : A2012-368 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01305.x Date de publication en ligne : 02/08/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01305.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31814 [article]