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Towards knowledge-enriched path computation

Georgios Skoumas, Klaus Arthur Schmid, Gregor Jossé, Andreas Züfle, Mario A. Nascimento, Matthias Renz, Dieter Pfoser
2014 Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '14  
Finally, we propose two routing algorithms on the enriched road networks. To evaluate our approach, we use Flickr photo data as a ground truth for popularity.  ...  Applying this measure to the corresponding road network, we obtain an altered cost function which does not exclusively rely on distance, and enriches an actual road networks taking crowdsourced spatial  ...  Acknowledgements The research leading to these results has received funding from the European Union 7 th Framework Programme-Marie Curie Actions, Initial Training Network GEOCROWD (grant No.  ... 
doi:10.1145/2666310.2666485 dblp:conf/gis/SkoumasSJZNRP14 fatcat:ck2beavnjnazjm6b3zlhoz3ma4

Special issue on spatial and temporal database management

Christophe Claramunt, Markus Schneider, Raymond Chi-Wing Wong
2017 Geoinformatica  
The paper entitled 'Knowledge Extraction from Crowdsourced Data for the Enrichment of Road Networks' written by G.  ...  Josse et al. studied how to enrich the information of road networks by extracting knowledge from crowdsourced data.  ...  A bi-directional pruning approach is suggested and experimented in the context of real data extracted from engine measurement data.  ... 
doi:10.1007/s10707-017-0307-0 fatcat:uzoimiow6jhena3u643z6wvtau

Knowledge-Enriched Route Computation [chapter]

Georgios Skoumas, Klaus Arthur Schmid, Gregor Jossé, Matthias Schubert, Mario A. Nascimento, Andreas Züfle, Matthias Renz, Dieter Pfoser
2015 Lecture Notes in Computer Science  
Finally, we propose two routing algorithms on the enriched road network. To evaluate our approach, we use Flickr photo data as a ground truth for popularity.  ...  ., finding the shortest or the fastest path within an underlying road network.  ...  The major challenge in this contribution is the extraction of crowdsourced geospatial information from textual data and the enrichment of an existing road network with this information.  ... 
doi:10.1007/978-3-319-22363-6_9 fatcat:r6yffjqgcvestbyd46pc7ededa

Social Web Meets Sensor Web: From User-Generated Content to Linked Crowdsourced Observation Data

Dong-Po Deng, Guan-Shuo Mai, Tyng-Ruey Chuang, Rob Lemmens, Kwang-Tsao Shao
2014 The Web Conference  
A major part of our work is to extract structured datasets with welldefined semantics from unstructured UGC collections.  ...  The reach of dominating social media like Facebook and Twitter in the current population is enormous, and these media have long been leveraged for diverse applications.  ...  To achieve semantic computing on crowdsourced data, it requires not only text mining for extracting valuable information from user-generated content but also semantic enrichment for interpreting the meaning  ... 
dblp:conf/www/DengMCLS14 fatcat:klmlkrll3bfvtkngl6mtr4yjcm

Being Specific about Geographic Information Crowdsourcing: A Typology and Analysis of the Missing Maps Project in South Kivu

Benjamin Herfort, Melanie Eckle, João Porto de Albuquerque
2016 International Conference on Information Systems for Crisis Response and Management  
Furthermore, we use this typology to frame existing crowdsourcing projects and to further point out the potential of different kinds of crowdsourcing for disaster management and humanitarian aid.  ...  In order to exemplify its practical usage and value, we apply the typology to analyze the crowdsourcing methods utilized by the members of the Missing Maps project developed in South Kivu.  ...  A typology and analysis of geographic information crowdsourcing Short Paper -Geospatial Data and Geographical Information Science Proceedings of the ISCRAM 2016 Conference -Rio de Janeiro, Brazil, May  ... 
dblp:conf/iscram/HerfortEA16 fatcat:74erzcvcffcvnkscymuwrvnb6a

Learning to integrate vision data into road network data [article]

Oliver Stromann, Alireza Razavi, Michael Felsberg
2022 arXiv   pre-print
We present a segmentation of road edges based on spatio-temporal road and traffic characteristics, which allows to enrich the attribute set of road networks with visual features of satellite imagery and  ...  In this work, we propose to integrate remote sensing vision data into road network data for improved embeddings with graph neural networks.  ...  Specifically, we address the challenge of enriching crowdsourced RN data from OpenStreetMap (OSM) [1] with remotely sensed data from Maxar Technologies [2] .  ... 
arXiv:2112.10624v2 fatcat:r73o4vaki5b3pi2qwzepih7fky

Using social media for collaborative species identification and occurrence

Dong-Po Deng, Tyng-Ruey Chuang, Kwang-Tsao Shao, Guan-Shuo Mai, Te-En Lin, Rob Lemmens, Cheng-Hsin Hsu, Hsu-Hong Lin, Menno-Jan Kraak
2012 Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information - GEOCROWD '12  
in social media to structured data records for scientific tasks.  ...  Our study demonstrates that with principled methods and proper tools, crowdsourced social media contents such as those from Facebook interest groups can be used for collaborative species identification  ...  From Information Reuse to Data Quality Improvement The formalized crowdsourced information actually is a good resource for improving the generation of crowdsourced information itself.  ... 
doi:10.1145/2442952.2442957 dblp:conf/gis/DengCSMLLHLK12 fatcat:y56vahvervcybcf7gglss6rdqm

Geotagging: Systematic Anatomization and Conceptual Model for POI Verification

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
data to enrich the portal.  ...  Hence, it's a need of hour to enrich the unique Indian GIS portal "Bhuvan" with Point of Interest (POI) data where one can find all necessary information.  ...  It is an important to find a way to collect large amount of data quickly. Crowdsourcing is the easiest method to enrich the Point of Interest data on any GIS portal.  ... 
doi:10.35940/ijitee.k7820.0991120 fatcat:twxah67m2vdldaweyqtrgvnh4a

CROWD4EMS: A CROWDSOURCING PLATFORM FOR GATHERING AND GEOLOCATING SOCIAL MEDIA CONTENT IN DISASTER RESPONSE

A. Ravi Shankar, J. L. Fernandez-Marquez, B. Pernici, G. Scalia, M. R. Mondardini, G. Serugendo
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
High precision geolocation is achieved by combining data mining techniques for estimating the location of photos and videos from social media, and crowdsourcing for the validation and/or improvement of  ...  This paper illustrates the use of a crowdsourcing platform that combines automatic methods for gathering information from social media and crowdsourcing techniques, in order to manage and aggregate volunteers  ...  We propose therefore an enrichment of information extracted from social media using crowdsourcing in two directions: (1) increasing the relevance of data by filtering data considered irrelevant by volunteers  ... 
doi:10.5194/isprs-archives-xlii-3-w8-331-2019 fatcat:5jvgxzzpprdu5mtfjot73ol5ry

Intensional data on the web

Antoine Amarilli, Silviu Maniu, Pierre Senellart
2015 ACM SIGWEB Newsletter  
in social networks, and mining crowdsourced data.  ...  Once data has been retrieved, the knowledge of the world is revised, and the whole process is repeated, until enough knowledge about the world has been obtained for the particular application considered  ...  Crowd Data Sourcing Consider now the task of crowd data sourcing [Boim et al. 2012 ]: using the crowd (e.g., through crowdsourcing platforms such as Amazon Mechanical Turk) to gather or enrich data, in  ... 
doi:10.1145/2808000.2808004 fatcat:2rd3qe7ohnelje44ujxzmq5xcq

Survey: When semantics meet crowdsourcing to enhance big data variety

Houssein Dhayne, Rima Kilany Chamoun, Maria Sokhn
2018 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)  
With the rapid growth of collected data and the variety of its content, the need for efficient integration at a Big Data level becomes crucial.  ...  Semantic technologies, as a means of integration and coordination of heterogeneous systems, may help big data to manage terminology and relationships to link various data from different data sources.  ...  In short, semantic and crowdsourcing analysis are applied to the heterogeneous data at the entry of the workflow and the resulting extracted entities are stored in a knowledge base, inter-linked with linked  ... 
doi:10.1109/menacomm.2018.8371011 dblp:conf/menacomm/DhayneCS18 fatcat:gntbt5gv2zg63ppzldatfur5tq

Crowdsourcing for individual needs – the case of routing and navigation for mobility-impaired persons [chapter]

Alexander Zipf, Amin Mobasheri, Adam Rousell, Stefan Hahmann
2016 European Handbook of Crowdsourced Geographic Information  
Through the use of quality assessment tools it is possible to identify areas with inadequate data completeness with regards to the information needed for the mobility impaired and thus encourage the enrichment  ...  Though datasources such as OpenStreetMap (OSM) are well suited for such topics, several issues including the quality of the underlying data remain.  ...  Acknowledgements The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007(FP7/ -2013 under grant  ... 
doi:10.5334/bax.x fatcat:2sgypbanxfhitiwgus6ombyub4

Crowdsourcing as a Tool for Knowledge Acquisition in Spatial Planning

Chrysaida-Aliki Papadopoulou, Maria Giaoutzi
2014 Future Internet  
The focus of this paper is on the role of crowdsourcing in knowledge acquisition for planning applications.  ...  The first part provides an introduction to the origins of crowdsourcing in knowledge generation.  ...  The possible obstacles, existing on the road network, are represented as polygons on the map through a process of gaining feedback from the crowd (the users of the infrastructure), who send the respective  ... 
doi:10.3390/fi6010109 fatcat:vwbz3gozczbzrlbj6tjfhf25nu

Modelling the world in 3D from VGI/Crowdsourced data [chapter]

Hongchao Fan, Alexander Zipf
2016 European Handbook of Crowdsourced Geographic Information  
In this paper, the current work of reconstruction of 3D buildings by using the data both on OSM and Flickr is presented, whereby facade structure could be extracted from Flickr images and OSM footprints  ...  European Handbook of Crowdsourced Geographic Information  ...  This means that the road surface becomes a part of the TIN. The street network is treated as a layer consisting of a collection of polygons representing all the individual network segments.  ... 
doi:10.5334/bax.ae fatcat:etzwknn4xvcqdpwxjumekyqgea

OpenStreetMap: an opportunity for Citizen Science

Alessandro Sarretta, Marco Minghini, Maurizio Napolitano, Alexander Kotsev, Peter Mooney
2020 Zenodo  
Such link might be relevant in a number of different directions, e.g. the exploration of how OSM data may assist in the development of CS initiatives and complement/enrich data collected by citizens; how  ...  While it was initially started (in 2004) with an exclusive focus on road network, it now covers any real-world feature that is verifiable on the ground.  ...  tools and services for collection and extraction of geospatial information, -background maps in different flavours, -data and products open licensing, -sustainability and preservation of Citizen Science  ... 
doi:10.5281/zenodo.3992340 fatcat:bjjsnnokbrds3mneknlvabp5k4
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