Opendata, web and dolomites



Total Cost €


EC-Contrib. €






Project "IoTCrawler" data sheet

The following table provides information about the project.


Organization address
city: MURCIA
postcode: 30003

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 Spain [ES]
 Project website
 Total cost 4˙997˙137 €
 EC max contribution 4˙997˙137 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-IOT-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2021-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE MURCIA ES (MURCIA) coordinator 634˙375.00
2    UNIVERSITY OF SURREY UK (GUILDFORD) participant 631˙750.00
3    AGT GROUP (R&D) GMBH DE (DARMSTADT) participant 595˙250.00
7    DIGITAL WORX GMBH DE (STUTTGART) participant 463˙750.00
8    AARHUS UNIVERSITET DK (AARHUS C) participant 385˙000.00
9    AARHUS KOMMUNE DK (ARHUS C) participant 323˙125.00
10    ODIN SOLUTIONS S.L. ES (ALCANTARILLA) participant 285˙000.00


 Project objective

The Internet of Things offers an incredible innovation potential for developing smarter applications and services, transforming business models and impacting our society both positively.

To be able to unlock IoT’s full potential many fundamental technological challenges still need to be solved. Today we see solutions in the development of vertical applications and services reflecting what used to be the early days of the web, leading to fragmentation and intra-nets of Things.

To achieve an open IoT ecosystem of systems and platforms, several key enablers are needed: adaptive and scalable crawling, indexing, semantic data/service search and integration, privacy and security, combined with real world and large-scale enablers and products driven by innovative use-case scenarios and new business models.

IoTCrawler will focus on integration and interoperability across different platforms, dynamic and reconfigurable solutions for discovery and integration of data and services from legacy and new systems, adaptive, privacy-aware and secure algorithms and mechanisms for crawling, indexing, search in distributed IoT systems.

IoTCrawler will provide extensive development and demonstrations with a focus on Industry 4.0, Social IoT, Smart City and Smart Energy.

IoTCrawler will seek to provide high impact through research excellence, innovation and technology advancement. It will address open challenges and issues in crawling, discovery, indexing, semantic integration and security/privacy/trust for an IoT ecosystem.

IoTCrawler will achieve this through end-user engagement via its industry and city partners, trials and collaborative scenario developments, validations and show casing.

IoTCrawler will also offer new business models and will extend the product line of industry and SME partners, and will create a wider awareness and third-party exploitation via dissemination and standardisation activities and by providing open and generic enablers and APIs.


List of deliverables.
IoT Data Attributes and Quality of Information Documents, reports 2020-02-11 12:51:58
Enablers for Sensing and Understanding IoT Context Documents, reports 2020-02-11 12:51:58
Enablers for IoT Security and Privacy Baseline Documents, reports 2020-02-11 12:51:58
Intermediate Integrated IoTCrawler Framework and Tools Documents, reports 2020-02-11 12:51:58
Intermediate Report on Dissemination, Exploitation and Standardisation Activities Documents, reports 2020-02-11 12:51:58
Intermediate Version of IoTCrawler Benchmarking and Testing Environment Documents, reports 2020-02-11 12:51:58
Portfolio of Use-Case Concepts Documents, reports 2020-02-11 12:51:58
Large Scale IoT Crawling, Indexing and Ranking Documents, reports 2020-02-11 12:51:58
Quality Assurance Plan Documents, reports 2020-02-11 12:51:57
Requirements and Design Templates for IoT Crawling Documents, reports 2020-02-11 12:51:57
Initial Version of Project’s Web Site Websites, patent fillings, videos etc. 2020-02-11 12:51:57
Project Handbook Documents, reports 2020-02-11 12:51:57

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


year authors and title journal last update
List of publications.
2019 Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam Barnaghi
Continual Learning in Deep Neural Networks by Using a Kalman Optimiser
published pages: , ISSN: , DOI:
Uncertainty & Robustness in Deep Learning Workshop 2020-02-11
2019 Sanchez-Gomez, Jesus, Gallego-Madrid, Jorge, Sanchez-Iborra, Ramon, Skarmeta, Antonio
Performance study of LoRaWAN for smart-City applications
published pages: , ISSN: , DOI:
IEEE 2nd 5G World Forum (30 September 2019) 2020-02-11
2019 Hien Thi Thu Truong, Miguel Almeida, Ghassan Karame, Claudio Soriente
Towards Secure and Decentralized Sharing of IoT Data
published pages: , ISSN: , DOI:
The 2nd IEEE International Conference on Blockchain 2020-02-11
2019 Sanchez-Iborra, Ramon, Covaci, Stefan, Santa, Jose, Sanchez-Gomez, Jesus, Gallego-Madrid, Jorge, Skarmeta, Antonio
MEC-assisted end-to-end 5G-slicing for IoT
published pages: , ISSN: , DOI:
IEEE Global Communications Conference (Globecom’19) 2020-02-11
2019 Roonak Rezvani, Shirin Enshaeifar, Payam Barnaghi
Lagrangian-based Pattern Extraction for Edge Computing in the Internet of Things
published pages: , ISSN: , DOI:
5th IEEE International Conference on Edge Computing and Scalable Cloud 2020-02-11
2019 Hien Thi Thu Truong, Juhani Toivonen, Thien Duc Nguyen, Claudio Soriente, Sasu Tarkomaand N.Asokan
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification
published pages: , ISSN: , DOI:
The 17th IEEE International Conference on Pervasive Computing and Communications 2020-02-11
2018 Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong-Took, Payam Barnaghi
Segment parameter labelling in MCMC mean-shift change detection
published pages: , ISSN: , DOI:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020-02-11
2018 Antonio F. Skarmeta, Jose Santa, Michail J. Beliatis, Mirko A. Presser, Josiane X. Parreira, Juan A. Martınez, Payam Barnaghi, Shirin Enshaeifar, Thorben Iggena, Marten Fischer, Ralf Tonjes, Martin Strohbach
IoT European Security and Privacy Projects: Integration, Architectures and Interoperability
published pages: , ISSN: , DOI:
Next Generation Internet of Things Chapter 7 2020-02-11
2018 José Santa, Pedro J. Fernández, Ramon Sanchez-Iborra, Jordi Ortiz, Antonio F. Skarmeta
Offloading Positioning onto Network Edge
published pages: 1-13, ISSN: 1530-8669, DOI: 10.1155/2018/7868796
Wireless Communications and Mobile Computing 2018 2020-02-11
2018 V. Beltran, A. F. Skarmeta
Overview of Device Access Control in the IoT and its Challenges
published pages: 1-7, ISSN: 0163-6804, DOI: 10.1109/MCOM.2017.1700433
IEEE Communications Magazine 2020-02-11
2018 Roonak Rezvani, Payam Barnaghi, Shirin Enshaeifar
Lagrangian Multipliers for Pattern Creation and Change Detection in Time series Data
published pages: , ISSN: , DOI:
IEEE TKDE journal 2020-02-11
2019 Roonak Rezvani, Shirin Enshaeifar, Payam Barnaghi
Lagrangian-based Clustering Algorithm for IoT Data streams
published pages: , ISSN: , DOI:
IEEE ICASSP Conference 2019 2020-02-11
2019 Yasmin Fathy, Payam Barnaghi, Rahim Tafazolli
An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data
published pages: 2688-2699, ISSN: 1932-8184, DOI: 10.1109/jsyst.2018.2876461
IEEE Systems Journal 13/3 2020-02-11
2019 Sefki Kolozali, Maria Bermudez-Edo, Nazli Farajidavar, Payam Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tonjes
Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams
published pages: 2651-2668, ISSN: 2327-4662, DOI: 10.1109/jiot.2018.2872606
IEEE Internet of Things Journal 6/2 2020-02-11
2019 Li, Honglin ; Ganz, Frieder ; Enshaeifar, Shirin ; Barnaghi, Payam
Kalman Filter Modifier for Neural Networks in Non-stationary Environments
published pages: , ISSN: , DOI:
NIPS Bayesian Deep Learning Workshop 2020-02-11

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

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