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CogNet SIGNED

Building an Intelligent System of Insights and Action for 5G Network Management

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Project "CogNet" data sheet

The following table provides information about the project.

Coordinator
WATERFORD INSTITUTE OF TECHNOLOGY 

Organization address
address: CORK ROAD
city: Waterford
postcode: X91
website: http://cefims.eu/

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 Ireland [IE]
 Project website http://www.cognet.5g-ppp.eu/
 Total cost 5˙972˙820 €
 EC max contribution 5˙972˙819 € (100%)
 Programme 1. H2020-EU.2.1.1.3. (Future Internet: Software, hardware, Infrastructures, technologies and services)
 Code Call H2020-ICT-2014-2
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2017-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WATERFORD INSTITUTE OF TECHNOLOGY IE (Waterford) coordinator 1˙027˙125.00
2    ALCATEL-LUCENT ISRAEL LTD IL (Kfar Saba) participant 686˙062.00
3    IBM IRELAND LIMITED IE (Ballsbridge) participant 652˙031.00
4    FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH ES (DONOSTIA SAN SEBASTIAN) participant 568˙150.00
5    UNIVERSITA DEGLI STUDI DI TRENTO IT (TRENTO) participant 546˙750.00
6    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 457˙500.00
7    TELEFONICA INVESTIGACION Y DESARROLLO SA ES (MADRID) participant 450˙417.00
8    ORANGE SA FR (PARIS) participant 448˙225.00
9    INTEROUTE S.P.A. IT (Rome) participant 427˙500.00
10    TECHNISCHE UNIVERSITAT BERLIN DE (BERLIN) participant 367˙750.00
11    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 341˙308.00

Map

 Project objective

5G will realise a true Internet of Things, a network capable of supporting potentially trillions of wireless connected devices and with overall bandwidth one thousand times higher that today’s wireless networks. Current 4G technology is approaching the limits of what is possible with this generation of radio technology and to address this, one of the key requirements of 5G will be to create a network that is highly optimised to make maximum use of available radio spectrum and bandwidth for QoS, and because of the network size and number of devices connected, it will be necessary for it to largely manage itself and deal with organisation, configuration, security, and optimisation issues. Virtualisation will also play an important role as the network will need to provision itself dynamically to meet changing demands for resources and Network Function Virtualisation (NFV), the virtualising of network nodes functions and links, will be the key technology for this.

We believe that Autonomic Network Management based on Machine Learning will be a key technology enabling an (almost) self administering and self managing network. Network software will be capable of forecasting resource demand requirements through usage prediction, recognising error conditions, security conditions, outlier events such as fraud, and responding and taking corrective actions. Energy efficiency will also be a key requirement with the possibility to reconfigure the NFV to for example avail of cheaper or greener energy when it is available and suitable. Again this is directly related to usage prediction both at a macro level, across an entire network, and at a micro level within specific cells.

The Cognet proposal will focus on applying Machine Learning research to these domains to enable the level of Network Management technology required to fulfil the 5G vision.

 Deliverables

List of deliverables.
Final Project Management Report Documents, reports 2019-02-26 14:23:20
Data Protection and Privacy Audit Report Documents, reports 2019-05-30 12:02:44
Dissemination, Communication, Exploitation and Standardisation Report Year 2 Documents, reports 2019-05-30 12:02:48
Contributions to Standards Report Documents, reports 2019-05-30 12:02:47
Network Security & Resilience - Engineering Release 1 Other 2019-05-30 12:02:42
Analytics Module Other 2019-05-30 12:02:44
Network Resource Mgmt- Engineering Release 2 Other 2019-05-30 12:02:44
Network Security & Resilience Engineering Release 2 Other 2019-05-30 12:02:46
Engineering Release 1 Other 2019-05-30 12:02:55
IPR Management Report Documents, reports 2019-05-30 12:02:44
Dissemination, Communication, Exploitation and Standardisation Report – Final Documents, reports 2019-05-30 12:02:45
Network Resilience Evaluation Framework Other 2019-05-30 12:02:48
Final release of the integrated platform and performance reports Documents, reports 2019-05-30 12:02:46
CogNet initial scenarios, use cases and requirements Documents, reports 2019-05-30 12:02:50
Integrated Platform and Performance Reports Release 1 Documents, reports 2019-05-30 12:02:39
Network Resource Mgmt- Engineering Release 1 Other 2019-05-30 12:02:37
Engineering Release 2 Other 2019-05-30 12:02:46
CogNet final requirements, scenarios and architecture Documents, reports 2019-05-30 12:02:54
Training, Validation and Deployment Documents, reports 2019-05-30 12:02:44
Initial Design - Machine Learning Other 2019-05-30 13:18:52
Preliminary Report into Proposed Standardisation Activities Documents, reports 2019-05-30 13:18:53
Dissemination, Communication, Exploitation and Standardisation Report Year 1 Documents, reports 2019-05-30 13:18:47
Communication and Dissemination Strategy Documents, reports 2019-05-30 13:18:52
CogNet Online Presence Websites, patent fillings, videos etc. 2019-05-30 13:18:45
Network Resource Mgmt - Initial Design Other 2019-05-30 13:18:33
Data Management Plan Open Research Data Pilot 2019-05-30 13:18:49
Initial integration and validation plan Documents, reports 2019-05-30 13:18:51
Network Security & Resilience - Initial Design Other 2019-05-30 13:18:49

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

 Publications

year authors and title journal last update
List of publications.
2017 Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model
published pages: 897-902, ISSN: , DOI: 10.18653/v1/D17-1093
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing 2019-07-08
2017 Massimo Nicosia, Alessandro Moschitti
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information
published pages: 260-270, ISSN: , DOI: 10.18653/v1/K17-1027
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) 2019-07-08
2018 Alberto Mozo, José Luis López-Presa, Antonio Fernández Anta
A distributed and quiescent max-min fair algorithm for network congestion control
published pages: 492-512, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2017.09.015
Expert Systems with Applications 91 2019-07-08
2016 Alberto Barrón-Cedeño, Giovanni Da San Martino, Shafiq Joty, Alessandro Moschitti, Fahad Al-Obaidli, Salvatore Romeo, Kateryna Tymoshenko, Antonio Uva
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
published pages: 896-903, ISSN: , DOI: 10.18653/v1/S16-1138
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) 2019-07-08
2017 Haytham Assem, Teodora Sandra Buda, Declan O’sullivan
RCMC
published pages: 1-30, ISSN: 2157-6904, DOI: 10.1145/3086636
ACM Transactions on Intelligent Systems and Technology 8/5 2019-07-08
2016 Azad Abad, Alessandro Moschitti
Taking the best from the Crowd:Learning Question Passage Classification from Noisy Data
published pages: 136-141, ISSN: , DOI: 10.18653/v1/S16-2018
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics 2019-07-08
2017 Olga Uryupina, Alessandro Moschitti
Collaborative Partitioning for Coreference Resolution
published pages: 47-57, ISSN: , DOI: 10.18653/v1/K17-1007
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) 2019-07-08
2017 Daniele Bonadiman (UNITN), Giuseppe Castellucci (Almawave), Andrea Favalli (Almawave), Raniero Romagnoli (Almawave) and Alessandro Moschitti (UNITN)
Neural Sentiment Analysis for a Real-World Application
published pages: 42-47, ISSN: , DOI:
PROCEEDINGS OF THE FOURTH ITALIAN CONFERENCE ON COMPUTATIONAL LINGUISTICS CLIC-IT 2017 2019-07-08
2017 Gianni Barlacchi (UNITN), Bruno Lepri and Alessandro Moschitti (UNITN)
Predicting Land Use of Italian Cities using Structural Semantic Models
published pages: , ISSN: , DOI:
Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017) 2019-07-08
2018 Bora Caglayan, Teodora Sandra Buda, Haytham Assem, Imen Grida Ben Yahia, Jaafar Bendriss, Angel Martin, Gorka Velez, Udi Margolin, Itai Segall, Antonio Pastor, Diego Lopez, Alberto Mozo, Bruno Ordozgoiti, Marius-Iulian Corici, Mikhail Smirnov, Kateryna
Cognitive Services Portfolio for 5G Network Management
published pages: , ISSN: , DOI:
2nd Workshop on Network Management, Quality of Service and Security for 5G Networks colocated with EUCNC 2017 2019-07-08
2018 Alberto Mozo, Bruno Ordozgoiti, Sandra Gómez-Canaval
Forecasting short-term data center network traffic load with convolutional neural networks
published pages: e0191939, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0191939
PLOS ONE 13/2 2019-07-08
2017 Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection
published pages: 722-733, ISSN: 1611-3349, DOI: 10.1007/978-3-319-59147-6_61
14th International Work-Conference on Artificial Neural Networks 2017 (IWANN) Lecture Notes in Computer Scien 2019-07-08
2016 Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Feature Ranking and Selection for Big Data Sets
published pages: 128-136, ISSN: , DOI: 10.1007/978-3-319-44066-8_14
East European Conference on Advances in Databases and Information Systems ADBIS 2016. Communications in C 2019-07-08
2016 Gorka Velez, Marco Quartulli, Angel Martin, Oihana Otaegui, Haytham Assem
Machine Learning for Autonomic Network Management in a Connected Cars Scenario
published pages: 111-120, ISSN: , DOI: 10.1007/978-3-319-38921-9_12
International Workshop on Communication Technologies for Vehicles Book Communication Technologies 2019-07-08
2017 Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O\'Sullivan (IBM)
ST-DenNesFus: Deep Spatio-Temporal Dense Networks for Network Demand Prediction
published pages: , ISSN: , DOI:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2019-07-08
2016 M. Nicosia, A. Moschitti
Crossword Puzzle Resolution in Italian using Distributional Models for Clue Similarity
published pages: , ISSN: , DOI:
Proceedings of the 7th Italian Information Retrieval Workshop (IIR) 2019-07-08
2017 Olga Uryupina (UNITN), Ron Artstein, Antonella Bristot, Federica Cavicchio, Francesca Delogu, Kepa J. Rodriguez, Massimo Poesio
Annotating a broader range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus
published pages: , ISSN: 1469-8110, DOI:
Journal of Natural Language Engineering 2019-07-08
2017 Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations
published pages: 79-84, ISSN: , DOI: 10.18653/v1/P17-4014
Proceedings of ACL 2017, System Demonstrations 2019-07-08
2016 Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J Valverde-Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti
LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform
published pages: 157-162, ISSN: , DOI: 10.18653/v1/P16-4027
Proceedings of ACL-2016 System Demonstrations 2019-07-08
2016 Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking
published pages: 1268-1278, ISSN: , DOI: 10.18653/v1/N16-1152
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2019-07-08
2018 Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Iterative column subset selection
published pages: 65-94, ISSN: 0219-1377, DOI: 10.1007/s10115-017-1115-4
Knowledge and Information Systems 54/1 2019-07-08
2017 Angel Martin, Roberto Viola, Josu Gorostegui, Mikel Zorrilla, Julian Florez, Jon Montalban
LAMB-DASH: a DASH-HEVC adaptive streaming algorithm in a sharing bandwidth environment for heterogeneous contents and dynamic connections in practice
published pages: , ISSN: 1861-8200, DOI: 10.1007/s11554-017-0728-x
Journal of Real-Time Image Processing 2019-07-08
2016 K. Sullivan, M. Barros, A. Martin
An Energy Efficient Architecture for 5G Network Management
published pages: , ISSN: , DOI:
1st International Workshop on Network Management, Quality of Service and Security for 5G Networks allocated with the EuCNC 2016, At Athens 2019-07-08
2018 Mikel Zorrilla, Julian Florez, Alberto Lafuente, Angel Martin, Jon Montalban, Igor G. Olaizola, Inigo Tamayo
SaW: Video Analysis in Social Media with Web-Based Mobile Grid Computing
published pages: 1442-1455, ISSN: 1536-1233, DOI: 10.1109/TMC.2017.2766623
IEEE Transactions on Mobile Computing 17/6 2019-07-08
2017 Michael Taynnan Barros, Robert Mullins, Sasitharan Balasubramaniam
Integrated Terahertz Communication With Reflectors for 5G Small-Cell Networks
published pages: 5647-5657, ISSN: 0018-9545, DOI: 10.1109/TVT.2016.2639326
IEEE Transactions on Vehicular Technology 66/7 2019-07-08
2018 Teodora Sandra Buda, Bora Caglayan, Haytham Assem (IBM)
5G PPP – 5G Architecture White Paper version 2
published pages: , ISSN: , DOI:
2019-07-08
2017 Bruno Ordozgoiti (UPM), Sandra Gómez Canaval (UPM), Alberto Mozo (UPM), Udi Margolin (Nokia), Elisha Rosensweig (Nokia), Itai Segall (Nokia)
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure
published pages: , ISSN: , DOI:
25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2019-07-08
2017 Azad Abad, Moin Nabi, Alessandro Moschitti
Self-Crowdsourcing Training for Relation Extraction
published pages: 518-523, ISSN: , DOI: 10.18653/v1/P17-2082
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2019-07-08
2016 Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O’Sullivan
Machine learning as a service for enabling Internet of Things and People
published pages: 899-914, ISSN: 1617-4909, DOI: 10.1007/s00779-016-0963-3
Personal and Ubiquitous Computing 20/6 2019-07-08
2017 Iryna Haponchyk, Alessandro Moschitti
Don\'t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
published pages: 1018-1028, ISSN: , DOI: 10.18653/v1/P17-1094
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2019-07-08
2017 Iryna Haponchyk, Alessandro Moschitti
A Practical Perspective on Latent Structured Prediction for Coreference Resolution
published pages: 143-149, ISSN: , DOI:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics Volume 2, Short Papers 2019-07-08
2017 Daniele Bonadiman, Antonio Uva, Alessandro Moschitti
Effective Shared Representations with Multitask Learning for Community Question Answering
published pages: 726-732, ISSN: , DOI:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics Volume 2, Short Papers 2019-07-08
2016 Simone Filice, Danilo Croce, Alessandro Moschitti, Roberto Basili
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers
published pages: 1116-1123, ISSN: , DOI: 10.18653/v1/S16-1172
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) 2019-07-08
2015 Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti
Distributional Neural Networks for Automatic Resolution of Crossword Puzzles
published pages: 199-204, ISSN: , DOI: 10.3115/v1/P15-2033
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) 2019-07-08
2015 Alessandro Moschitti, Massimo Nicosia, Gianni Barlacchi
SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem
published pages: 79-84, ISSN: , DOI: 10.3115/v1/P15-4014
Proceedings of ACL-IJCNLP 2015 System Demonstrations 2019-07-08
2016 Ordozgoiti, S.Gómez Canaval A.Mozo
Parallelized unsupervised feature selection for large-scale network traffic analysis
published pages: 617-622, ISSN: , DOI:
24th European Symposium of Artificial Neural Networks, ESANN 2019-07-08
2015 D. Bonadiman, A. Severyn, A. Moschitti
Deep Neural Networks for Named Entity Recognition in Italian
published pages: , ISSN: , DOI:
Proceedings of The Italian Conference on Computational Linguistics (CLiC-it) Dec-15 2019-07-08

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