Livrables
This prototype will be the first outcome of T2.3. The Dashboard will allow the Municipality of Trento (as well as any other operator deploying the QROWD) to monitor in real-time data streams collected from various sources (existing infrastructure, crowds) as well as the integrated, combined, and cleansed data transmitted to end users. The application also collects and displays statistics on traffic and the usage of various means of transport, allowing for the analysis and evaluation of the impact of the QROWD system.
Data storage and access componentThis report includes the application and services created to enable a crowdsourced curation for disambiguating named entities and validation of uniqueness in the storage.
Road information servicesThis deliverable will deliver an MVP for the road information service prototype including underlying algorithms and datasets. This will include work on analytics about road information. A prototype user interface will be developed for experts working at TomTom. It will allow exploration of the data and pattern detection. Spatiotemporal patterns will be matched and enrich the pattern catalogue at TomTom. On top of data analysis, several classifiers will be built, which can recognize specific traffic situations. Detected situations can then be included as features in regular machine learning procedures.
Crowdsourced multilingual data harvesting and extraction frameworkThis prototype will be the outcome of T4.4. Starting from existing NLP frameworks, the prototype will consist in a crowdsourced enhanced multilingual data harvesting and extraction system that will be able to, starting from a set of relevant textual information sources identified in D4.1, generate an RDF stream to inject into the QROWD platform.
Real-time inductive analysisIn this deliverable, we describe the foundations on how the supervised machine learning algorithms can be extended for active crowdsourcing and provide a connection between visual analysis and supervised machine learning on top of which supervised machine learning experiments covering at least the parking business case will be performed.
Data acquisition frameworkThis prototype will be the outcome of T4.2 and will consist of a set of tools that, according to D4.1 specifications, are able to automatically acquire data for several heterogeneous data sources relevant to the QROWD business cases and make them available for posterior RDF-ization.
Linked Data generation frameworkThis prototype is the outcome of T4.3 and will consist of a set of tools that, according to D4.1 specifications, are able to generate RDF streams and make them available for QROWD Big Data Value Chain.
Integrated processing of data-in-motion and data-at-restArchitectural design and prototype for integrated processing of data-at-rest and data-in-motion, including initial evaluation.
Spatio-temporal analyticsAnalytics suite supporting large-scale distributed spatiotemporal and structured data stream processing, evaluated together with WP1 and 2.
iLogThis prototype will be the second outcome of T23 It will consist of a deployment of the extended iLog app an application that will be used as one of the main sources of data key to the success of the business case iLog crowdsourcing app will be significantly extended allow for harvesting crowdsourced data The following aspects ofiLog will be enhanced new modalityof use contribution the ability to display different information
QROWD platformFinal integrated QROWD platform where the business case feedback is considered.
Crowdsourcing servicesCrowdsourcing middleware prototype.
Report to document advanced methods for the optimization of crowdsourcing results integrated into D32 prototype and evaluated with the help of the business cases
Final Trento pilotThis deliverable will assess the overall impact of the QROWD system and in particular of the enhanced sensoRcivico app within the business case implementation including comparison with the previous status of the Trento mobility services and assessment of the KPIs
Outreach report v1Strategy, channels use, results for the first reporting period, including contributions to BDV PPP and data interoperability and standards activities.
Dynamic data integration, storage and accessThis will be the report on architecture and data integration tasks carried out to enable data access by the third-party applications. Curation-wise, it prepares the actual data to be available from the platform to the business pilots.
Final TomTom pilotThe report will deliver the deployed prototype, including evaluation results.
Business case requirements and designThis deliverable will report on the results of business case requirements and design (T2.1). It will enclose the requirements and design for the business case, including required and identified datasets (and transformations, if needed), requirements applicable to WP3-WP8 and business case specific requirements. It will include a detailed description of QROWD platform usage (and tailoring, if needed), any business case specific software components (if needed) and will guide the evaluation phase. We will take into account the insights gained from T2.2
Outreach report v2Final version including impact assessment, including reports on contributions to BDV PPP and data interoperability and standards activities.
Participatory frameworkMethods and instruments used, taking into account the feedback and experience from T1.2 and T2.2.
Business plansRoadmap for further exploitation of QROWD results.
Requirements and architectureReport on the requirements for QROWD platform and architecture describing the integrated platform.
Exploitation strategyIncludes IPR, usage policies, measures to manage/protect the QROWD IP for its further exploitation, potential business models.
This deliverable describes the outcomes of T4.1 related to dataset identification and data acquisition requirement analysis. It includes a description and assessment of available datasets and of the datasets that needs to be generated by crowdsourcing services as well as a selection of the tools and techniques needed in order to inject those data sources into the QROWD workflow.
DatasetsThis report will contain information on the datasets converted and integrated in T1.1.
HackathonResults of the hackathon with recommendations to the WP1 pilot.
Benchmarking registry, reporting, and crowdsourcing monitoring toolsBenchmark components, initial setup and the registry alongside the instruments used to monitor crowd performance.
Ideas competitionReport of the competition results, including aspects of stakeholder collaborations as well as recommendations on the inclusion of results in the WP1 pilot.
Final version of the crowdsourcing middleware prototype with a comprehensive set of connected public services for demonstrations.
Data quality assessment servicesThis report describes crowdsourcing-enabled link quality assessment methods and adaptation of the respective crowdsourcing component of Entitypedia.
Link discovery and data fusion algorithmsCrowdsourcing-enabled link discovery algorithms including large-scale evaluation with cloud based link discovery connected to QROWD (T5.1) In addition, this deliverable includes the crowdsourcing-enabled data fusion algorithms, including large-scale evaluation involving cloud based data fusion connected to QROWD services (T5.2). This deliverable will contribute to existing data interoperability and standards activities within W3C.
Data management planData management plan (R, M6)
Crowdsourcing vocabulary and licensingReport to document the developed crowdsourcing vocabulary and licensing recommendations. This deliverable will propose standards for data exchange and interoperability in crowdsourcing.
Logo, branding, Web site, social media channels.
Publications
Auteurs:
F. Giunchiglia, E. Bignotti, M. Zeni, and Wanyi Zhang
Publié dans:
2nd International Workshop on Annotation of useR Data for UbiquitOUs Systems, 2018
Éditeur:
IEEE
Auteurs:
Claus Stadler, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Jens Lehmann
Publié dans:
2018, Page(s) 210-224
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-91662-0_16
Auteurs:
F. Giunchiglia, E. Bignotti, and M. Zeni
Publié dans:
International Workshop on Context-Awareness for Multi-Device Pervasive and Mobile Computing, 2018
Éditeur:
IEEE
Auteurs:
Fausto Giunchiglia, Mattia Zeni, Elisa Gobbi, Enrico Bignotti, Ivano Bison
Publié dans:
2017, Page(s) 3-13
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-67256-4_1
Auteurs:
F. Giunchiglia, M. Zeni, E. Bignotti
Publié dans:
Workshop on Information Quality and Quality of Service for Pervasive Computing, 2018
Éditeur:
IEEE
Auteurs:
Eddy Maddalena, Luis-Daniel Ibáñez, Elena Simperl, Richard Gomer, Mattia Zeni, Donglei Song, Fausto Giunchiglia
Publié dans:
Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19, 2019, Page(s) 102-109, ISBN 9781-450366755
Éditeur:
ACM Press
DOI:
10.1145/3308560.3317056
Auteurs:
Stadler, Claus; Sejdiu, Gezim; Graux, Damian; Lehmann, Jens
Publié dans:
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas), 2019
Éditeur:
CEUR
DOI:
10.5281/zenodo.3567886
Auteurs:
Westphal, Patrick; Fernández, Javier D.; Kirrane, Sabrina; Lehmann, Jens
Publié dans:
2018
Éditeur:
CEUR
DOI:
10.5281/zenodo.3567866
Auteurs:
Maddalena, Eddy; Ibáñez, Luis-Daniel; Simperl, Elena; Zeni, Mattia; Bignotti, Enrico; Giunchiglia, Fausto; Stadler, Claus; Westphal, Patrick; Garcia, Luis P.F.; Lehmann, Jens
Publié dans:
2018
Éditeur:
CEUR
DOI:
10.5281/zenodo.3568169
Auteurs:
Vougiouklis, Pavlos; Maddalena, Eddy; Hare, Jonathon; Simperl, Elena
Publié dans:
Joint Proceedings SAD 2018 and CrowdBias 2018, 2018
Éditeur:
CEUR
DOI:
10.5281/zenodo.3568173
Auteurs:
Fausto Giunchiglia, Mattia Zeni, Enrico Big
Publié dans:
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018, Page(s) 379-384, ISBN 978-1-5386-3227-7
Éditeur:
IEEE
DOI:
10.1109/percomw.2018.8480307
Auteurs:
Mattia Zeni, Enrico Bignotti, Fausto Giunchiglia
Publié dans:
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018, Page(s) 28-33, ISBN 978-1-5386-3227-7
Éditeur:
IEEE
DOI:
10.1109/percomw.2018.8480312
Auteurs:
Patrick Westphal
Lorenz Bühmann
Simon Bin
Hajira Jabeen
Jens Lehmann
Publié dans:
Semantic Web – Interoperability, Usability, Applicability, 2018, ISSN 1570-0844
Éditeur:
IOS Press
Auteurs:
Fausto Giunchiglia, Enrico Bignotti, Mattia Zeni
Publié dans:
International Journal of Semantic Computing, Numéro 12/01, 2018, Page(s) 129-148, ISSN 1793-7108
Éditeur:
World Scientific
DOI:
10.1142/s1793351x1840007x
Auteurs:
Oluwaseyi Feyisetan, Elena Simperl
Publié dans:
ACM Transactions on Social Computing, Numéro 2/2, 2019, Page(s) 1-31, ISSN 2469-7818
Éditeur:
ACM
DOI:
10.1145/3321700
Auteurs:
Patrick Westphal, Lorenz Bühmann, Simon Bin, Hajira Jabeen, Jens Lehmann
Publié dans:
Semantic Web, Numéro 10/2, 2019, Page(s) 231-245, ISSN 1570-0844
Éditeur:
IOS Press
DOI:
10.3233/sw-180308
Auteurs:
Gezim Sejdiu, Damien Graux, Imran Khan, Ioanna Lytra, Hajira Jabeen, Jens Lehmann
Publié dans:
Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings, Numéro 11702, 2019, Page(s) 295-309, ISBN 978-3-030-33219-8
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-33220-4_22
Auteurs:
Gezim Sejdiu, Ivan Ermilov, Jens Lehmann, Mohamed Nadjib Mami
Publié dans:
The Semantic Web – ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part II, Numéro 11137, 2018, Page(s) 206-222, ISBN 978-3-030-00667-9
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-00668-6_13
Auteurs:
Gezim Sejdiu, Anisa Rula, Jens Lehmann, Hajira Jabeen
Publié dans:
The Semantic Web – ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II, Numéro 11779, 2019, Page(s) 261-276, ISBN 978-3-030-30795-0
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-30796-7_17
Auteurs:
Maddalena, Eddy; Ibáñez, Luis-Daniel; Simperl, Elena
Publié dans:
2018
Éditeur:
University of Southampton
DOI:
10.5281/zenodo.3568200
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