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A framework for intelligence analysis using spatio-temporal storytelling / Raimundo F. Dos Santos Jr. in Geoinformatica, vol 20 n° 2 (April - June 2016)  

Public [article]  inGeoinformatica > vol 20 n° 2 (April - June 2016) . - pp 285 - 326 Titre : A framework for intelligence analysis using spatio-temporal storytelling Type de document : Article/Communication Auteurs : Raimundo F. Dos Santos Jr., Auteur ; Sumit Shah, Auteur ; Arnold Boedihardjo, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 285 - 326 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] diffusion de l'information [Termes IGN] dimension temporelle [Termes IGN] données spatiotemporelles [Termes IGN] graphe [Termes IGN] information complexe [Termes IGN] réseau social Résumé : (auteur) Social media have ushered in alternative modalities to propagate news and developments rapidly. Just as traditional IR matured to modeling storylines from search results, we are now at a point to study how stories organize and evolve in additional mediums such as Twitter, a new frontier for intelligence analysis. This study takes as input news articles as well as social media feeds and extracts and connects entities into interesting storylines not explicitly stated in the underlying data. First, it proposes a novel method of spatio-temporal analysis on induced concept graphs that models storylines propagating through spatial regions in a time sequence. Second, it describes a method to control search space complexity by providing regions of exploration. And third, it describes ConceptRank as a ranking strategy that differentiates strongly-typed connections from weakly-bound ones. Extensive experiments on the Boston Marathon Bombings of April 15, 2013 as well as socio-political and medical events in Latin America, the Middle East, and the United States demonstrate storytelling’s high application potential, showcasing its use in event summarization and association analysis that identifies events before they hit the newswire. Numéro de notice : A2016-374 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1007/s10707-015-0236-8 En ligne : http://dx.doi.org/10.1007/s10707-015-0236-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81139 [article]