SCIENTIFIC WORK

Our researchers come from the research teams of some of the major universities in Lombardy (Italy) and today they make their expertise and method available to C2T’s clients.

 

Our ICT laboratory has a growing team of researchers within it, to integrate – where needed – the consolidated experience of developers with innovative approaches and in step with the latest technologies, on system integration projects for small and large enterprises.

The main research areas considered by the ICT Lab are:

  • Knowledge Management & Extraction
  • Information Retrieval
  • Fuzzy Based Systems
  • Machine Learning
  • Databases, Data Mining, Data Extraction & Data Management
  • Business Process

Application areas

The currently active research and development lines refer to the following areas:

  • Design and development, together with Find Your Doctor S.r.l., the education department of the University of Milano-Bicocca and the IT department of the University of Milano-Bicocca, of analysis tools for the evaluation of the professional profile of researchers and of an information retrieval tool based on machine learning techniques to allow automatic matching between the needs of companies/organisations and the experiential and motivational paths of researchers
  • Design and development of algorithms for the extraction of information in the financial field, as well as study and prototyping of innovative software for FinTech. In this regard, C2T is one of the promoters of a special session at the international congress DSAA 2018, The 5th IEEE International Conference on Data Science and Advanced Analytics, entitled “Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy”.
  • Study of innovative metrics for the evaluation of Personalized Information Retrieval (PIR) systems. In this regard, C2T has been one of the promoters of the CLEF Laboratory “Personalized Information Retrieval” since 2017. The 2018 edition of CLEF, Conference and Labs of the Evaluation Forum, was held in September in Avignon, France.
  • Study of the problems related to the description of semantics in the Big Data collections. Project in collaboration with the University of Milan and part of the participation of C2T in the IFIP Group.
  • Machine Learning techniques used in the implementation of an approach to support histological analysis conducted by pathological analysis institutes.
  • Study and deployment of an Expert System for the management of activities between different software components (rule execution, messaging, etc.), based on information acquired from databases.
  • Study and deployment of Fuzzy and Neuro-fuzzy approaches for the definition of recommender systems based on content management.
  • Study and deployment of Language Models-based approaches for the extraction of information from unstructured text documents.
  • Design and development of an integrated data management system, based on a multidimensional approach in the banking and financial area. Extension of the integrated system to other application areas, such as environment and biomedicine.
  • Design and development of a tool to support reporting activities, through the definition of a prototype for the extraction and aggregation of information according to stable criteria.

Publications

 

International journals

  • A. Azzini, S. Marrara, N. Cortesi, A. Topalovic: “A Language Model based Approach for PhD candidates Profiling in a Recruiting Setting” Submitted to International Journal of Web Engineering and Technologies, IJWET (2020)
  • A. Topalovic, A. Azzini: “Data Mining Applications in SMEs: An Italian Perspective”, Submitted to International Journal of Business Systems Research, BSR (2020)
  • Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco, Manuel Wimmer, Robert Wrembel, Fadi A. Zaraket: Big Data Semantics. J. Data Semantics 7(2): 65-85 (2018)
  • Stefania Marrara, Gabriella Pasi, Marco Viviani: Aggregation operators in Information Retrieval. Fuzzy Sets and Systems 324: 3-19 (2017)

International conferences

  • A. Azzini, S. Marrara, A. Topalovic: “Knowledge Management in the Italian SMEs, the role of ICT”, accepted at the 15th International Conference On Knowledge Management In Organisations (KMO), 2020.
  • A. Azzini, N. Cortesi, A. Topalovic, G. Psaila: Radar: A Framework for automated Reporting International Conference on Applied Computing, Cagliari, 7-9 November, Italy.
  • A. Azzini, S. Marrara, A. Topalovic: Promoting the employability of PhDs in Organizations. Accepted Tutorial at the 14th International Conference On Knowledge Management In Organisations (KMO), July 15-18, 2019, University of Salamanca, Zamora, Spain.
  • A. Azzini, S. Marrara, A. Topalovic: Evolving Fuzzy Membership Functions for Soft Skills Assessment Optimization. Accepted paper at the 14th International Conference On Knowledge Management In Organisations (KMO), July 15-18, 2019, University of Salamanca, Zamora, Spain.
  • A. Azzini, P. Ceravolo, M. Colella: Performances of OLAP Operations in Graph and Relational Databases. Accepted paper at the 14th International Conference On Knowledge Management In Organisations (KMO), July 15-18, 2019, University of Salamanca, Zamora, Spain.
  • A. Azzini, S. Marrara, N. Cortesi, A. Topalovic: A Multi-Label Machine Learning Approach to Support Pathologist’s Histological Analysis. Submitted to Entrenova Conference on ENTerprise REsearch InNOVAtion Conference – ENTRENOVA Rovinj, Croatia, 12-14 September 2019.
  • Antonia Azzini, Stefania Marrara, Amir Topalovic: New Trends of Fuzzy Systems: Fintech Applications – Round Table ZFFL, WILF 2018.
  • Antonia Azzini, Stefania Marrara, Amir Topalovic: A Neuro-Fuzzy Approach to assess the soft skills profile of a PhD, WILF 2018.
  • Gabriella Pasi, Gareth J. F. Jones, Keith Curtis, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen: Overview of the CLEF 2018 Personalised Information Retrieval Lab (PIR-CLEF 2018). CLEF (Working Notes) 2018
  • Gabriella Pasi, Gareth J. F. Jones, Keith Curtis, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen: Evaluation of Personalised Information Retrieval at CLEF 2018 (PIR-CLEF). CLEF 2018: 335-342
  • Muhammad Muneb Khani, Paolo Ceravolo, Antonia Azzini, Ernesto Damiani: Automated Monitoring of Collaborative Working Environments for Supporting Open Innovation, KMO 2018, winner of Best Paper Award.
  • Antonia Azzini, Andrea Galimberti, Stefania Marrara, Eva Ratti: SOON: Supporting the Evaluation of Researchers’ Profiles, KMO 2018.
  • Antonia Azzini, Andrea Galimberti, Stefania Marrara, Eva Ratti: A Classifier to Identify Soft Skills in a Researcher Textual Description. EvoApplications 2018: 538-546
  • Gabriella Pasi, Gareth J. F. Jones, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen: Evaluation of Personalised Information Retrieval at CLEF 2017 (PIR-CLEF): Towards a Reproducible Evaluation Framework for PIR. CLEF (Working Notes) 2017
  • Gabriella Pasi, Gareth J. F. Jones, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen: Overview of the CLEF 2017 Personalised Information Retrieval Pilot Lab (PIR-CLEF 2017). CLEF 2017: 338-345
  • Gabriella Pasi, Mirko Cesarini, Stefania Marrara, Fabio Mercorio, Marco Viviani, Mario Mezzanzanica, Marco Pappagallo: Un’Analisi del Mondo del Lavoro e un Modello Predittivo per Potenziali Nuove Occupazioni (An Analysis of the Job Market and a Predictive Model for Potential New Jobs). IIR 2017: 116-120
  • Antonia Azzini, Stefania Marrara, Andrea Maurino, Amir Topalovic: MMBR: A Report-driven Approach for the Design of Multidimensional Models. SIMPDA 2017: 83-97
  • Stefania Marrara, Gabriella Pasi, Marco Viviani, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Marco Pappagallo: A language modelling approach for discovering novel labour market occupations from the web. WI 2017: 1026-1034
  • Antonia Azzini, Paolo Ceravolo, Nello Scarabottolo, Ernesto Damiani: On the predictive power of university curricula. EDUCON 2016: 929-932
  • Paolo Ceravolo, Antonia Azzini, Ernesto Damiani, Mariangela Lazoi, Manuela Marra, Angelo Corallo: Translating Process Mining Results into Intelligible Business Information. KMO 2016: 14

Participations of the C2T Consortium as a member of the Boards and Program Committees of international conferences and journals

  • PC member MIDAS 2020
  • PC member MIDAS 2019
  • PC member KMO 2019
  • Editorial Board Member for the IJKL journal
  • FinTech 2019: organization of the FinTech workshop at the Entrenova 2019 conference – Rovinj, Croatia
  • Members e secretaries of the IFIP W.G. 2.6 on Databases
  • DSAA 2018, Turin, Italy: organisation of Special Session: “DSAA2018 Special Session: Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy”
  • CLEF 2018, Avignon, France: organisation of the laboratory: “Personalized Information Retrieval (PIR) Lab”
  • CLEF 2017, Dublin, Ireland: organisation of the pilot laboratory: “Personalized Information Retrieval (PIR) Lab”
  • Editorial Board Member of IJWET
  • PC member MIDAS 2018
  • PC member SeCredISData at DSAA 2018
  • Editorial Board member of the book FinTech as a Disruptive Technology for Financial Institutions under publication by ICI Global
  • PC member ACM SAC – IR track 2019
  • Member of IFIP Group on DB
  • PC member of SIMPDA 2018
  • PC member KMO 2018
  • PC member SIGIR 2018
  • PC member IPMU 2018
  • PC member FuzzIEEE 2018
  • FuzzIEEE 2017
  • PC member PRO-VE 2017
  • PC member NLDB 2017
  • PC member SIGIR 2017
  • Reviewer for the International Journal of Computational Intelligence Systems
  • Reviewer for the Journal of Intelligent and Fuzzy Systems
  • Reviewer for the Journal of Knowledge and Learning (IJKL)
  • Reviewer for the Journal of Web Engineering and Technology (IJWET)

Executive doctorates in C2T

The executive doctorate is regulated by art. 11 of Ministerial Decree no. 45 of 8 February 2013. It is a three-year course that includes a research project aimed at the company and led thanks to the cooperation between a company, an executive PhD student and a university. The student works both at the company and at the university, spending time on the executive PhD project, the results of which will be effectively applied in a company context.
The company, for its part, has at its side a candidate capable of carrying out a high quality research project, the results of which can lead to positive results under commercial terms. At the same time, it has the opportunity to strengthen its relations with university partners, laying the foundations for new opportunities for research and partnership between the university and the private sector.

The Consortium has currently activated two executive doctorates.

 

agsdi-learn

Elias Bassani

Prof. Gabriella Pasi
DISCo (Department of Informatics, Systems and Communication)
University of Milano-Bicocca

Research of new methodologies for the characterization of users and documents in Information Retrieval systems (search engines) and Recommendation Systems in order to generate personalized responses that meet the information needs of individuals. In particular, the use of heterogeneous information, behavioural analysis and the use of modern Machine Learning techniques are investigated.

agsdi-learn

Nicola Cortesi

Prof. Giuseppe Psaila
DIGIP (Department of Management Information and Production Engineering)
University of Bergamo

Investigation into new methods of data management within companies, through the use of semi-structured data (JSON), together with the use of blockchain permissioned systems in order to assess the feasibility of using them to create applications that require trust awareness and privacy.

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