QROWD project deliverables
The page lists 34 deliverables related to the research project "QROWD".
List of Deliverables
| title and desprition | type | last update |
|---|---|---|
Benchmarking registry, reporting, and crowdsourcing monitoring toolsBenchmark components, initial setup and the registry alongside the instruments used to monitor crowd performance. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Other | 2020-03-24 |
HackathonResults of the hackathon with recommendations to the WP1 pilot. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Other | 2020-03-24 |
Final TomTom pilotThe report will deliver the deployed prototype, including evaluation results. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
Methods for task and time managementReport to document advanced methods for the optimization of crowdsourcing results, integrated into D3.2 prototype, and evaluated with the help of the business cases. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
Business plansRoadmap for further exploitation of QROWD results. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Open Research Data Pilot | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
iLogThis prototype will be the second outcome of T2.3. 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 modality-of use contribution; the ability to display different information. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Open Research Data Pilot | 2020-03-24 |
Spatio-temporal analyticsAnalytics suite supporting large-scale distributed spatiotemporal and structured data stream processing, evaluated together with WP1 and 2. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
QROWD platformFinal integrated QROWD platform where the business case feedback is considered. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
Outreach report v2Final version including impact assessment, including reports on contributions to BDV PPP and data interoperability and standards activities. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-03-24 |
Public endpoints and deploymentFinal version of the crowdsourcing middleware prototype with a comprehensive set of connected public services for demonstrations. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Open Research Data Pilot | 2020-03-24 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2020-03-24 |
Ideas competitionReport of the competition results, including aspects of stakeholder collaborations as well as recommendations on the inclusion of results in the WP1 pilot. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Other | 2020-02-13 |
Data catalogThis 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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Other | 2020-02-13 |
Participatory frameworkMethods and instruments used, taking into account the feedback and experience from T1.2 and T2.2. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2020-02-13 |
Data management planData management plan (R, M6) Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Open Research Data Pilot | 2020-02-13 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2019-11-06 |
Urban mobility dashboardThis 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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2019-11-06 |
Outreach report v1Strategy, channels use, results for the first reporting period, including contributions to BDV PPP and data interoperability and standards activities. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2019-11-06 |
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 Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2019-11-06 |
DatasetsThis report will contain information on the datasets converted and integrated in T1.1. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Other | 2019-11-06 |
Data quality assessment servicesThis report describes crowdsourcing-enabled link quality assessment methods and adaptation of the respective crowdsourcing component of Entitypedia. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Open Research Data Pilot | 2019-11-06 |
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. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2019-11-06 |
Requirements and architectureReport on the requirements for QROWD platform and architecture describing the integrated platform. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2019-11-06 |
Online presence and brand guidelinesLogo, branding, Web site, social media channels. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Websites, patent fillings, videos etc. | 2019-11-06 |
Exploitation strategyIncludes IPR, usage policies, measures to manage/protect the QROWD IP for its further exploitation, potential business models. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Documents, reports | 2019-11-06 |
Crowdsourcing servicesCrowdsourcing middleware prototype. Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017 |
Demonstrators, pilots, prototypes | 2019-11-06 |