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QROWD SIGNED

QROWD - Because Big Data Integration is Humanly Possible

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

QROWD project word cloud

Explore the words cloud of the QROWD project. It provides you a very rough idea of what is the project "QROWD" about.

cross groups news formats streaming individual mix platform update channels overview big building standards relying lingual participation isolated data reduce w3c heterogeneous feedback perform combination infrastructure meteorological innovation sources intervention hard co2 integration services cities stakeholder urban quality tools sizes heterogeneity geographic time public actual algorithms emissions chain domain efficiency hybrid industrial transportation substantially supporting city human sectors municipalities traffic chains locked phases datasets multilingual companies life flexible rates variety weather mobility sectoral machine create outcomes utmost transport computational stream citizens qrowd extremely computation limited combined efficient complemented capitalizing

Project "QROWD" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF SOUTHAMPTON Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ website: http://www.southampton.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Project website	http://qrowd-project.eu/
Total cost	3˙993˙505 €
EC max contribution	2˙969˙367 € (74%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
Code Call	H2020-ICT-2016-1
Funding Scheme	IA
Starting year	2016
Duration (year-month-day)	from 2016-12-01 to 2019-11-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ website: http://www.southampton.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (SOUTHAMPTON)	coordinator	651˙504.00
2	INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV Organization address address: GOERDELERRING 9 city: LEIPZIG postcode: 4109 website: http://www.infai.org contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (LEIPZIG)	participant	753˙250.00
3	UNIVERSITA DEGLI STUDI DI TRENTO UNIVERSITA DEGLI STUDI DI TRENTO Organization address address: VIA CALEPINA 14 city: TRENTO postcode: 38122 website: www.unitn.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (TRENTO)	participant	376˙625.00
4	ATOS SPAIN SA ATOS SPAIN SA Organization address address: CALLE DE ALBARRACIN 25 city: MADRID postcode: 28037 website: www.atos.net contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	336˙437.00
5	COMUNE DI TRENTO COMUNE DI TRENTO Organization address address: BELENZANI 19 city: TRENTO postcode: 38122 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (TRENTO)	participant	249˙375.00
6	INMARK EUROPA SA INMARK EUROPA SA Organization address address: CALLE RAFAEL CALVO 9 city: MADRID postcode: 28010 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	219˙100.00
7	TOMTOM LOCATION TECHNOLOGY GERMANY GMBH TOMTOM LOCATION TECHNOLOGY GERMANY GMBH Organization address address: AN DEN TREPTOWERS 1 city: BERLIN postcode: 12435 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (BERLIN)	participant	201˙346.00
8	TOMTOM DEVELOPMENT GERMANY GMBH TOMTOM DEVELOPMENT GERMANY GMBH Organization address address: INSELSTRASSE 22 city: LEIPZIG postcode: 4103 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (LEIPZIG)	participant	181˙728.00
9	AI4BD GMBH AI4BD GMBH Organization address address: MICHAEL-MAGGI-STRASSE 16 city: ZURICH postcode: 8046 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZURICH)	participant	0.00

Map

Project objective

Big Data integration in European cities is of utmost importance for municipalities and companies to offer effective information services, enable efficient data-driven transportation and mobility, reduce CO2 emissions, assess the efficiency of infrastructure, as well as enhance the quality of life of citizens. At present this integration is substantially limited due to the following factors: 1) Urban Big Data is locked in isolated industrial and public sectors, and 2) The actual Big Data integration is an extremely hard technical problem due to the heterogeneity of data sources, variety of formats, sizes, quality as well as update rates, such that the integration requires significant human intervention.

QROWD addresses these challenges by offering methods to perform cross-sectoral streaming Big Data integration including geographic, transport, meteorological, cross domain and news data, while capitalizing on human feedback channels. The main objectives of QROWD are: (1) Facilitating cross-sectoral Big Data stream integration for urban mobility including real-time data on individual and public transportation combined with further available sources, such as weather conditions and infrastructure information to create a comprehensive overview of the city traffic; (2) Supporting participation and feedback of various stakeholder groups to foster data-driven innovation in cities; and (3) Building a platform providing hybrid computational methods relying on efficient algorithms complemented with human computation and feedback.

The main outcomes of QROWD are: (1) Two data value chains in the sectors of urban mobility and public transportation using a mix of large scale heterogeneous multilingual datasets; and (2) Cross-sectoral and cross-lingual technology, including algorithms and tools covering all phases of the cross-sectoral Big Data Value Chain building on W3C standards and capitalizing on a flexible and efficient combination of human and machine-based computation.

Deliverables

List of deliverables.
Benchmarking registry, reporting, and crowdsourcing monitoring tools	Other	2020-03-24 10:50:12
Hackathon	Other	2020-03-24 10:49:56
Final TomTom pilot	Documents, reports	2020-03-24 10:50:06
Dynamic data integration, storage and access	Documents, reports	2020-03-24 10:49:50
Integrated processing of data-in-motion and data-at-rest	Demonstrators, pilots, prototypes	2020-03-24 10:49:45
Methods for task and time management	Documents, reports	2020-03-24 10:49:22
Road information services	Demonstrators, pilots, prototypes	2020-03-24 10:50:15
Business plans	Documents, reports	2020-03-24 10:50:13
Linked Data generation framework	Demonstrators, pilots, prototypes	2020-03-24 10:49:48
Link discovery and data fusion algorithms	Open Research Data Pilot	2020-03-24 10:49:48
Data acquisition framework	Demonstrators, pilots, prototypes	2020-03-24 10:49:24
Final Trento pilot	Documents, reports	2020-03-24 10:50:28
iLog	Demonstrators, pilots, prototypes	2020-03-24 10:50:12
Crowdsourcing vocabulary and licensing	Open Research Data Pilot	2020-03-24 10:48:58
Spatio-temporal analytics	Demonstrators, pilots, prototypes	2020-03-24 10:49:48
QROWD platform	Demonstrators, pilots, prototypes	2020-03-24 10:49:49
Outreach report v2	Documents, reports	2020-03-24 10:50:20
Public endpoints and deployment	Open Research Data Pilot	2020-03-24 10:49:24
Crowdsourced multilingual data harvesting and extraction framework	Demonstrators, pilots, prototypes	2020-03-24 10:49:22
Ideas competition	Other	2020-02-13 13:44:42
Data catalog	Other	2020-02-13 13:44:41
Participatory framework	Documents, reports	2020-02-13 13:44:40
Data management plan	Open Research Data Pilot	2020-02-13 13:44:42
Data storage and access component	Demonstrators, pilots, prototypes	2019-11-06 11:38:08
Urban mobility dashboard	Demonstrators, pilots, prototypes	2019-11-06 11:38:08
Outreach report v1	Documents, reports	2019-11-06 11:38:08
Business case requirements and design	Documents, reports	2019-11-06 11:38:08
Datasets	Other	2019-11-06 11:38:08
Data quality assessment services	Open Research Data Pilot	2019-11-06 11:38:08
Real-time inductive analysis	Demonstrators, pilots, prototypes	2019-11-06 11:38:08
Requirements and architecture	Documents, reports	2019-11-06 11:38:08
Online presence and brand guidelines	Websites, patent fillings, videos etc.	2019-11-06 11:38:08
Exploitation strategy	Documents, reports	2019-11-06 11:38:08
Crowdsourcing services	Demonstrators, pilots, prototypes	2019-11-06 11:38:08

Take a look to the deliverables list in detail: detailed list of QROWD deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2018	Maddalena, Eddy; IbÃ¡Ã±ez, Luis-Daniel; Simperl, Elena; Zeni, Mattia; Bignotti, Enrico; Giunchiglia, Fausto; Stadler, Claus; Westphal, Patrick; Garcia, Luis P.F.; Lehmann, Jens QROWD: Because Big Data Integration is Humanly Possible published pages: , ISSN: , DOI: 10.5281/zenodo.3568169		2020-01-28
2018	Westphal, Patrick; FernÃ¡ndez, Javier D.; Kirrane, Sabrina; Lehmann, Jens SPIRIT: A Semantic Transparency and Compliance Stack published pages: , ISSN: , DOI: 10.5281/zenodo.3567866		2020-01-28
2018	Vougiouklis, Pavlos; Maddalena, Eddy; Hare, Jonathon; Simperl, Elena How Biased Is Your NLG Evaluation? published pages: , ISSN: , DOI: 10.5281/zenodo.3568173	Joint Proceedings SAD 2018 and CrowdBias 2018	2020-01-28
2018	Maddalena, Eddy; IbÃ¡Ã±ez, Luis-Daniel; Simperl, Elena On the mapping of Points of Interest through StreetView Imagery and paid crowdsourcing published pages: , ISSN: , DOI: 10.5281/zenodo.3568200		2020-01-28
2019	Patrick Westphal, Lorenz BÃ¼hmann, Simon Bin, Hajira Jabeen, Jens Lehmann SML-BenchÂ â€“ A benchmarking framework for structured machine learning published pages: 231-245, ISSN: 1570-0844, DOI: 10.3233/sw-180308	Semantic Web 10/2	2020-01-28
2019	Oluwaseyi Feyisetan, Elena Simperl Beyond Monetary Incentives published pages: 1-31, ISSN: 2469-7818, DOI: 10.1145/3321700	ACM Transactions on Social Computing 2/2	2020-01-28
2019	Stadler, Claus; Sejdiu, Gezim; Graux, Damian; Lehmann, Jens Querying Large-scale RDF Datasets Using the SANSA Framework published pages: , ISSN: , DOI: 10.5281/zenodo.3567886	Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas)	2020-01-28
2018	F. Giunchiglia, E. Bignotti, and M. Zeni Combining Crowdsourcing and Crowdsensing to Infer the Spatial Context published pages: , ISSN: , DOI:	International Workshop on Context-Awareness for Multi-Device Pervasive and Mobile Computing	2019-11-06
2018	F. Giunchiglia, M. Zeni, E. Bignotti Personal Context Recognition via Reliable Human-Machine Collaboration published pages: , ISSN: , DOI:	Workshop on Information Quality and Quality of Service for Pervasive Computing	2019-11-06
2018	Fausto Giunchiglia, Enrico Bignotti, Mattia Zeni Human-Like Context Sensing for Robot Surveillance published pages: 129-148, ISSN: 1793-7108, DOI: 10.1142/s1793351x1840007x	International Journal of Semantic Computing 12/01	2019-11-06
2018	F. Giunchiglia, E. Bignotti, M. Zeni, and Wanyi Zhang Assessing Consistency of in the wild Annotations published pages: , ISSN: , DOI:	2nd International Workshop on Annotation of useR Data for UbiquitOUs Systems	2019-11-06
2018	Patrick Westphal Lorenz BÃ¼hmann Simon Bin Hajira Jabeen Jens Lehmann SML-Bench -- A Benchmarking Framework for Structured Machine Learning published pages: , ISSN: 1570-0844, DOI:	Semantic Web â€“ Interoperability, Usability, Applicability	2019-11-06
2017	Fausto Giunchiglia, Mattia Zeni, Elisa Gobbi, Enrico Bignotti, Ivano Bison Mobile Social Media and Academic Performance published pages: 3-13, ISSN: , DOI: 10.1007/978-3-319-67256-4_1		2019-11-06
2018	Claus Stadler, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Jens Lehmann Efficiently Pinpointing SPARQL Query Containments published pages: 210-224, ISSN: , DOI: 10.1007/978-3-319-91662-0_16		2019-11-06

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The information about "QROWD" are provided by the European Opendata Portal: CORDIS opendata.