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EXPLORING NETWORKED IDENTITY AND TRANSNATIONAL MOBILIZATION IN UKRAINE'S EUROMAIDAN PROTEST

Tetyana Lokot, Olga Boichak
2020 Selected Papers of Internet Research, SPIR  
Triangulating semantic mapping data from online diasporic communities on Facebook with in-depth interviews, we show how diaspora members engaged in the protest despite distance and how their activity and  ...  This study contributes to the broader scholarship on studying transnational mediated protest participation by examining a case of diasporic mobilization of the Ukrainian community in the United States.  ...  Findings The semantic networks from each of the Facebook groups in the U.S. reveal broad similarities in the structure of diasporic discourse about Euromaidan (see maps in Figures 1-3 in Appendices).  ... 
doi:10.5210/spir.v2020i0.11263 fatcat:gywmrtk2w5fdrd7primrgqlwlm

Explainable Semantic Mapping for First Responders [article]

Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song
2019 arXiv   pre-print
One of the key challenges in the semantic mapping problem in postdisaster environments is how to analyze a large amount of data efficiently with minimal supervision.  ...  To address this challenge, we propose a deep learning-based semantic mapping tool consisting of three main ideas.  ...  This work should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory of the U.S. Government. The U.S.  ... 
arXiv:1910.07093v1 fatcat:53xbmddo6jewpafns7oxiszprq

Improving Community Resiliency and Emergency Response With Artificial Intelligence [article]

Ben Ortiz and Laura Kahn and Marc Bosch and Philip Bogden and Viveca Pavon-Harr and Onur Savas and Ian McCulloh
2020 arXiv   pre-print
Our tool consists of encoding multiple layers of open source geospatial data including flood risk location, road network strength, inundation maps that proxy inland flooding and computer vision semantic  ...  Even though our system could be used in a number of use cases where people are forced from one location to another, we demonstrate the feasibility of our system for the use case of Hurricane Florence in  ...  Version 1.2 (March 2018) of the NWM currently predicts stream flow for the United States, but operational inundation maps for inland flooding across the entire continental U.S. are still being tested.  ... 
arXiv:2005.14212v1 fatcat:zk7bhxlnzfa2hl7vnc7axonsr4

Spatial Data Infrastructures

Yingjie Hu
2017 Geographic Information Science & Technology Body of Knowledge  
In this chapter, we will present the concepts and values of SDIs, as well as a brief history of SDI development in the U.S.  ...  These resources may include maps, data, geospatial services, and tools.  ...  Figure 1 shows the user interface of Data.gov, a geoportal for the U.S. government open data.  ... 
doi:10.22224/gistbok/2017.2.1 fatcat:hbm4heu7rjbn7jqkko464zivxi

Page 461 of Neural Computation Vol. 8, Issue 2 [page]

1996 Neural Computation  
To order, send check or money order—drawn on a U.S. bank in U.S. funds, payable to Journal of Cognitive Neuroscience—or your AMEX, MC, or VISA number to: MIT Press Journals Circulation Department * 55  ...  Hillis & Alfonso Caramazza Functional Mapping of Sequence Learning in Normal Humans Scott T. Grafton, Eliot Hazeltine & Richard Ivry Who Did What and When?  ... 

Page 1341 of Neural Computation Vol. 8, Issue 6 [page]

1996 Neural Computation  
Gazzaniga ) “This title, the official publication of the Cognitive Neuroscience Institute, intends to serve as a ‘single forum for research on the'biological bases of mental events.’  ...  To order, send check or money order—drawn on a U.S. bank in U.S. funds, payable to Journal of Cognitive Neuroscience—or your AMEX, MC, or VISA number to: MIT Press Journals Circulation Department * 55  ... 

A Low-Cost High-Performance Semantic and Physical Distance Calculation Method Based on ZIP Code

Da LI, Yuanyuan WANG, Rikuya YAMAMOTO, Yukiko KAWAI, Kazutoshi SUMIYA
2022 IEICE transactions on information and systems  
To address this issue, firstly, we convert the zip code and street house number into vectors instead of textual address information to reduce the cost of spatial vector calculation.  ...  Finally, to verify the validity of our proposed method, we utilize the US zip code data to calculate both semantic and physical distances and compare their results with the previous method.  ...  Acknowledgments This is a product of research activity of Institute of Advanced Technology, Center for Sciences towards Symbiosis among Human, Machine and Data which was financially supported by the Kyoto  ... 
doi:10.1587/transinf.2021dap0005 fatcat:ptujwrsiwvguxdkjc4pjp3dpbi

Detection of GAN-synthesized street videos [article]

Omran Alamayreh, Mauro Barni
2021 arXiv   pre-print
The goal of this paper is to investigate the detectability of a new kind of AI-generated videos framing driving street sequences (here referred to as DeepStreets videos), which, by their nature, can not  ...  Yet, new tools for the generation of such kind of videos are being developed at a fast pace and will soon reach the quality level of deepfake videos.  ...  and AFRL or the U.S.  ... 
arXiv:2109.04991v2 fatcat:jornwtzr2fd7dcy4betca3zjlu

Language Encodes Geographical Information

Max M. Louwerse, Rolf A. Zwaan
2009 Cognitive Science  
The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities.  ...  MDS coordinates correlated with the actual longitude and latitude of these cities, showing that cities that are located together share similar semantic contexts.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding institution.  ... 
doi:10.1111/j.1551-6709.2008.01003.x pmid:21585463 fatcat:fz6knuazbjfcjlg5sxs4ecbaiq

Analyzing Green View Index and Green View Index best path using Google Street View and deep learning [article]

Jiahao Zhang, Anqi Hu
2022 arXiv   pre-print
The semantic segmentation model is adopted to segment the Osaka City street view images and analyse the Green View Index (GVI).  ...  In this paper, we used Google Street View to obtain street view images of Osaka City.  ...  A number of studies have been proposed using semantic segmentation to conduct analysis of urban green views and landscapes. [28] used Google Street View images at different times to map and analyze the  ... 
arXiv:2104.12627v3 fatcat:ddpg3slvxrcura2vbgmpne6igy

CONFLATION OF NATIONAL BRIDGE INVENTORY DATABASE WITH TIGERBASED ROAD VECTORS

Q. Zhang, S. Griffiths, M. Wollersheim, M. Lorraine Tighe, C. Xu
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper presents our approach to conflating the NBI database with U.S.  ...  Census Bureau's Topologically Integrated Geographic Encoding and Referencing (TIGER) road vectors based on a point-to-line matching algorithm, which combines both geometric and semantic similarity measurements  ...  Geological Survey (USGS) topography maps and TIGER street maps.  ... 
doi:10.5194/isprsannals-i-4-321-2012 fatcat:2m4uuoi74rcazexsrasd4wj7xe

Fast forensic video event retrieval using geospatial computing

Hongli Deng, Mun Wai Lee, Asaad Hakeem, Omar Javed, Weihong Yin, Li Yu, Andrew Scanlon, Zeeshan Rasheed, Niels Haering
2010 Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application - COM.Geo '10  
A semantic data mining system is also attached to generate text descriptions of events and scene contextual information.  ...  From the application point of view, it extends the frontier of geospatial application by presenting a forward-looking application model.  ...  The Google Street [14] builds a map based street view system which enables user to view and navigate street images though a map interface.  ... 
doi:10.1145/1823854.1823866 dblp:conf/comgeo/DengLHJYYSRH10 fatcat:icczbjt3f5dzxlwbyfil65xssu

You Are Here: Geolocation by Embedding Maps and Images [article]

Noe Samano and Mengjie Zhou and Andrew Calway
2020 arXiv   pre-print
and local neighbourhoods of the map.  ...  for routes of around 200m in length when using Google Street View and Open Street Map data.  ...  We gratefully acknowledge the support of the Mexican Council of Science and Technology (CONACyT) and the Chinese Scholarship Council (CSC).  ... 
arXiv:1911.08797v2 fatcat:fb6zsljxm5eebmmiq5f2dgmudm

Big Data-Driven Pedestrian Analytics: Unsupervised Clustering and Relational Query Based on Tencent Street View Photographs

Fan Xue, Xiao Li, Weisheng Lu, Christopher J. Webster, Zhe Chen, Lvwen Lin
2021 ISPRS International Journal of Geo-Information  
Recent technological advancements in geomatics and mobile sensing have led to various urban big data, such as Tencent street view (TSV) photographs; yet, the urban objects in the big dataset have hitherto  ...  The experiment results showed that the pedestrians detected in the TSV photographs were successfully clustered into meaningful groups and indexed by the semantic vectors.  ...  Semantic Enrichment for OpenStreetMap The semantics of pedestrians on the streets was also applied to enrich digital maps such as OpenStreetMap.  ... 
doi:10.3390/ijgi10080561 fatcat:ve5gzyminfbrvljjfnmzb57skq

A Two-Layered Integration Approach for Product Information in B2B E-commerce [chapter]

Borys Omelayenko, Dieter Fensel
2001 Lecture Notes in Computer Science  
The marketplaces have to perform non-trivial mappings of these catalogs.  ...  Second, the catalog is translated from the source model to the RDF model of the target catalog.  ...  The first type of mappings mainly involves the real-world semantics of the information exchanged.  ... 
doi:10.1007/3-540-44700-8_22 fatcat:njh6etntpnaofgc4yghq5db6vq
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