Emanuele Storti

Publications and Talks

2022

• Storti, E. Towards a Knowledge Graph Representation of FAIR Music Content for Exploration and Analysis. In Proc. of the TPDL2022: 26th International Conference on Theory and Practice of Digital Libraries, 20-23 September 2022, Padua, Italy
• Diamantini, C., Khan, T., Potena, D., Storti, E. Shared Metrics of Sustainability: a Knowledge Graph Approach. In Proc. of the 30th Italian Symposium on Advanced Database Systems (SEBD2022), Tirrenia, Italy, 19-22 June, 2022.
• Diamantini, C., Potena D., Storti, E. A Knowledge-based approach to support analytic query answering in Semantic Data Lakes. In Proc. of the 26th European Conference on Advances in Databases and Information Systems (ADBIS 2022), Torino, 5-8 September, 2022.
• Chiorrini, A., Diamantini, C., Mircoli, A., Potena, D., Storti, E. EmotionAlBERTo: Emotion Recognition of Italian Social Media Texts Through BERT. In Proc. of the 26th International Conference on Pattern Recognition (ICPR 2022), Montreal, Canada, 21-25 August, 2022.

2021

• Mircoli, A., Diamantini, C., Potena, D., Storti, E. Automatic Annotation of Corpora For Emotion Recognition Through Facial Expressions Analysis. In Proc. of the 25th Int. Conference on Pattern Recognition (ICPR2020), Milan, 10-15 January, 2021.
• Diamantini, C., Potena, D., Storti, E. A Semantic Data Lake Model for Analytic Query-Driven Discovery. In Proc. of the 23rd International Conference on Information Integration and Web Intelligence (iiWAS 2021), online, pages 183-186, 2021.

2020

• Diamantini, C., Nocera, A., Potena, D., Storti, E., Ursino, D. Querying the IoT Using Multi-Resolution Contexts, IEEE Internet of Things Journal, IEEE, 2020.
• Diamantini, C., Lo Giudice, P., Potena, D., Storti, E., Ursino, D. An Approach to Extracting Topic-guided Views from the Sources of a Data Lake. Information System Frontiers, vol. 23, pages 243-262, Springer, 2020.
• Cameranesi, M., Diamantini, C., Mircoli, A., Potena, D., Storti, E. Extraction of User Daily Behavior from Home Sensors through Process Discovery. IEEE Internet of Things Journal, vol. 7 num. 9, pages 8440-8450, IEEE, 2020.
• Diamantini, C., Potena, D., Storti, E. Multidimensional Linked Data Representation of Italian Datasets on COVID-19. In Proc. of the 6th Int. Conference on ICT for Smart Cities and Communities (I-CiTies2020), 23-25 September, 2020.
• Chiorrini, A., Diamantini, C., Potena, D., Storti, E. How to Cope with Personnel Unavailability? Process Mining May Help! In Proc. of the 28th Italian Symposium on Advanced Database Systems (SEBD2020), Villasimius, Italy, 21-24 June, 2020.

2019

• Diamantini, C., Potena, D., Storti, E. Semantic Modeling​ of Performance Indicators for Collaborative Information Systems​ (tutorial). In: Proc of the 31st International Conference on Advanced Information Systems Engineering (CAISE2019), Rome, Italy, 3-7 June, 2019.
• Diamantini, C., Nocera, A., Potena, D., Storti, E., Ursino, D. Find the Right Peers: Building and Querying Multi-IoT Networks Based on Contexts. In Proc. of the 13th Int. Conference on Flexible Query Answering Systems (FQAS2019). Lecture Notes in Computer Science, vol. 11259, pages 302-313, Springer, 2019.
• Diamantini, C., Nocera, A., Potena, D., Storti, E., Ursino, D. Multi-Dimensional Contexts for Querying IoT Networks. In Proc. of the 27th Italian Symposium on Advanced Database Systems (SEBD2019), Castiglione della Pescaia, Italy, 16-19 June, 2019.
• Papangelis, K., Potena, D., Smari, W.W., Storti, E., Wu, K. Advanced technologies and systems for collaboration and computer supported cooperative work. Future Generation Computer Systems, vol. 95, pages 764-774, Elsevier, 2019.
• Diamantini, C., Mircoli, A., Potena D. and Storti, E. Social information discovery enhanced by sentiment analysis techniques. Future Generation Computer Systems, vol. 95, 816-828, Elsevier, 2019.

2018

• Diamantini, C., Potena, D. and Storti, E. Multidimensional Query Reformulation with Measure Decomposition. Information Systems, vol. 78, pages 23-39, Elsevier, 2018.

• Diamantini, C., Giudice, P.L., Musarella, L., Potena, D., Storti, E. and Ursino, D. A New Metadata Model to Uniformly Handle Heterogeneous Data Lake Sources. In: Benczúr A. et al. (eds) New Trends in Databases and Information Systems. ADBIS 2018. Communications in Computer and Information Science, vol. 909, Springer, pages 165-177, 2018.

• Longo, A., Potena, D., Storti, E., Zappatore, M. and De Matteis, Comparing SLAs for Cloud Services: A Model for Reasoning. In: Benczúr A. et al. (eds) New Trends in Databases and Information Systems. ADBIS 2018. Communications in Computer and Information Science, vol. 909, Springer, pages 178-190, 2018.

• Diamantini, C., Giudice, P.L., Musarella, L., Potena, D., Storti, E. and Ursino, D. An approach to extracting thematic views from highly heterogeneous sources of a data lake. In Proc. of the 26th Italian Symposium on Advanced Database Systems (SEBD2018), Castellaneta Marina, Italy, June 24-27, 2018.

• Diamantini, C., Potena, D. and Storti, E. A Big Data Framework for Analysis of Traffic Data in Italian Highways. In: Ceci M., Japkowicz N., Liu J., Papadopoulos G., Raś Z. (eds) Foundations of Intelligent Systems. ISMIS 2018. Lecture Notes in Computer Science, vol 11177, Springer, 2018.

2017

• Benvenuti, F., Diamantini, C., Potena D. and Storti, E. An Ontology-based Framework to Support Performance Monitoring in Public Transport Systems. Transportation Research Part C: Emerging Technologies, vol. 81, pages 188-208, Elsevier, 2017.

• Diamantini, C., Potena D. and Storti, E. Analytics for Citizens: a Linked Open Data Model for Statistical Data Exploration. Concurrency and Computation: Practice & Experience (CCPE), 2017, http://onlinelibrary.wiley.com/doi/10.1002/cpe.4186/full

• Diamantini, C., Potena D. and Storti, E. Exploiting mathematical structures of statistical measures for comparison of RDF Data Cubes. In: Bellatreche, L., Chakravarthy S. (eds.) Big Data Analytics and Knowledge Discovery, Dawak 2017. Lecture Notes in Computer Science, vol. 10440, pages 33-41, Springer, 2017,.

• Diamantini, C., Potena D. and Storti, E. Data Semantics Meets Knowledge Discovery in Databases. In Flesca et al (Eds.) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, Volume 31 of the series Studies in Big Data, pages 391-405, Springer, 2017.

• Diamantini, C., Potena D. and Storti, E. Comparison of City Performances through Statistical Linked Data Exploration. In Proc. of the 2nd EAI International Conference on ICT Infrastructures and Services for Smart Cities (IISSC 2017), Brindisi, 20-21 aprile 2017.

2016

• Diamantini, C., Freddi, A., Longhi, S., Potena D. and Storti, E. A goal-oriented, ontology-based methodology to support the design of AAL environments. Expert Systems with Applications (ESWA), vol. 64, pages 117-131, Elsevier, 2016 (published online: http://www.sciencedirect.com/science/article/pii/S0957417416303797)

• Diamantini, C. and Potena, D. and Storti, E. Extended Drill-down Operator: Digging into the Structure of Performance Indicators. Concurrency and Computation: Practice & Experience (CCPE), vol. 28, no. 15, pages 3948-3968, J. Wiley & Sons, 2016 (published online: http://onlinelibrary.wiley.com/doi/10.1002/cpe.3726/full) 

• Diamantini, C., Potena, D. and Storti, E. SemPI: A Semantic Framework for the Collaborative Construction and Maintenance of a Shared Dictionary of Performance Indicators. Future Generation Computer Systems (FGCS), vol. 54, pages 352-365, Elsevier, 2016.

• Cameranesi, M., Diamantini, C., Potena, D. and Storti, E. Semantic-driven Goal-Oriented Development of AAL Environments. In Proc. of the 2016 Int. Symposium on Collaborative Technologies and Systems (CTS 2016), IEEE, Orlando, FL, USA, pages 120-127, 2016.

• Genga, L., Potena, D., Storti E., Cameranesi, M., and Diamantini, C. Semantic Process Mining for Ambient Assisted Living. In Proc. of the Int. Workshop on International Workshop Analysis of Biometric Parameters to detect relationship between stress and sleep quality (AnBiPa 2016), Ancona, Italy, 2016.

• Cameranesi, M., Diamantini, C., Potena, D. and Storti, E. GoAAL: an Ontology for Goal-oriented Development of AAL Environments. In Proc. of the 31st Symposium on Applied Computing (SAC 2016), ACM, Pisa Italy, April 4-8, 2016, pages 347-353. 

• Diamantini, C., Potena, D. and Storti, E. Collaborative Building of a Shared Library of Performance Indicators. In Proc. of the 24th Italian Symposium on Advanced Database Systems (SEBD2016), Ugento (LE), Italy, June 19-22, pages 246-253.

2015

• Diamantini, C. and Potena, D. and Storti, E. Monitoring Innovation and Production Improvement. In Missikoff, M. and Canducci, M. and Maiden, N. (eds.) Innovating Enterprise Innovation, pages 189-212, John Wiley & Sons, Inc., 2015.

• Diamantini, C., Potena, D. and Storti, E. Semantics-based Multidimensional Query over Sparse Data Marts. In "Big Data Analytics and Knowledge Discovery", Proc. of 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2015), Lecture Notes in Computer Science, vol. 9263, pages 190-202, Springer, 2015.

• Diamantini, C., Genga, L., Potena, D. and Storti, E. Towards a Customizable User-Centered Model for Data Analytics. In Proc. of the 2015 Int. Symposium on Collaborative Technologies and Systems (CTS 2015), IEEE, Minneapolis, MN, USA, pages 249-256, 2015 (candidate to Best Paper Award).

• Diamantini, C., Mircoli, A., Potena, D. and Storti, E. Semantic Disambiguation in a Social Information Discovery System. In Proc. of the 2015 Int. Symposium on Collaborative Technologies and Systems (CTS 2015), IEEE, Minneapolis, MN, USA, pages 326-333, 2015.

• Diamantini, C., Genga, L., Potena, D. and Storti, E. Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes. In Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari E., Zbigniew W., R (eds.) New Frontiers in Mining Complex Patterns, Lecture Notes in Computer Science, vol. 8983, pages 149-163, Springer, 2015.

2014

• Diamantini, C., Potena, D. and Storti, E. Collaborative Management of a Repository of KDD Processes. International Journal of Metadata, Semantics
  and Ontologies (IJSMO), Vol. 9, No. 4, pages 299-311, Inderscience Publishers, 2014.

• Diamantini, C., Genga, L., Potena, D. and Storti, E. Collaborative Buildling of an Ontology of Key Performance Indicators. In Meersman, R. et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014 Conferences, Lecture Notes in Computer Science, vol. 8841, pages 148-165, Springer, 2014.

• Diamantini, C., Potena, D. Storti, E. and Zhang, H. An Ontology-Based Data Exploration Tool for Key Performance Indicators. In Meersman, R. et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014 Conferences, Lecture Notes in Computer Science, vol. 8841, pages 727-744, Springer, 2014.

• Diamantini, C., Potena, D. and Storti, E. Extending drill-down through semantic reasoning on indicator formulas. In L. Bellatreche and M. Mohania (eds.), DaWaK 2014, LNCS, vol. 8646,  pages 57-68, Springer, 2014.

• Smith, F., Storti, E. and Taglino, F. Towards Semantic Collective Awareness Platforms for Business Innovation. In I. Iliadis, M. Papazoglou and K. Pohl
  (eds.), Advanced Information Systems Engineering Workshops, LNBIP, vol. 178, pages 226-237, Springer, 2014.

• Diamantini, C., Potena, D. and Storti, E. Data Mart Reconciliation in Virtual Innovation Factories. In I. Iliadis, M. Papazoglou and K. Pohl (eds.), Advanced Information Systems Engineering Workshops, LNBIP, vol. 178, pages 274-285, Springer, 2014.

• Diamantini, C., Genga, L., Potena D. and Storti, E. A semi-automatic methodology for the design of performance monitoring systems. In Proc. of the 22nd Italian Symposium on Advanced Database Systems (SEBD2014), Sorrento Coast (NA), Italy, June 16-18, pages 111-122.

• Spiga, D., Fattibene, E., Manzali, M., Salomoni, D., Venturi, V., Veronesi, P., Fano, L., Valentini, A., Bilei, G.M., Riahi, H., Storchi, L., Diamantini, C., Potena, D.,
  Ribighini, G., Storti, E., Falcioni, D., Fani, D., Re, B., Amici, C., Carota, S., Cirillo, F., Maggiulli, M.L., Sergiacomi, A. and Settimi, D. A Cloud-based Solution for
  Public Administrations: The Experience of the Regione Marche. In Proc. of the 2014 Int. Symposium on Collaborative Technologies and Systems (CTS 2014),
  Minneapolis, MN, USA,  May 19-23, 2014, pages 493-499.

• Cuzzocrea, A., Diamantini, C., Genga, L., Potena D. and Storti, E. A Composite Methodology for Supporting Collaboration Pattern Discovery via Semantic Enrichment and Multidimensional Analysis. In Proc. of 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR 2014), Tunis, Tunisia, August 11-14, pages 459-464, 2014.

2013

• Diamantini, C., Potena, D., Proietti, M., Smith, F., Storti, E., Taglino, F. A Semantic Framework for Knowledge Management in Virtual Innovation Factories. International Journal of Information System Modeling and Design (IJISMD), Volume 4, Issue 4, pages 70-92, IGI-Global, 2013.

• Diamantini, C., Potena, D. and Storti, E. A Virtual Mart for Knowledge Discovery in Databases. Information System Frontiers, Volume 15, Issue 3, pages 447-463, Springer 2013 (The final publication is available at link.springer.com).

• Diamantini,  C., Missikoff, M., Potena, D., Smith, F., Storti, E. and Taglino, F. Knowledge-Based Business Innovation Support. In Proc. of the 21st Italian Symposium on Advanced Database Systems (SEBD2013), Roccella Jonica (RC), Italy, June 30 – July 4, pages 7-18.

• Diamantini, C., Potena, D. and Storti, E. A Logic-Based Formalization of KPIs for Virtual Enterprises. In X. Franch and P. Soffer (Eds.): CAiSE 2013 Workshops, LNBIP, vol. 148, pp. 274–285, Springer, 2013.

• Diamantini, C., Genga, L., Potena, D., and Storti, E. Pattern Discovery from Innovation Processes. In Proc. of the 2013 Int. Symposium on Collaboration Technologies and Systems (CTS2013), San Diego, USA, May 20-24, 2013, IEEE, pages 457-464.

• Diamantini, C., Genga, L., Potena, D. and Storti, E. Innovation Pattern Analysis (poster paper). In Proc. of the 2013 Int. Symposium on Collaboration Technologies and Systems (CTS2013), San Diego, USA, May 20-24, 2013, IEEE, pages 628-629.

• Taglino, F., Smith, F., Diamantini, C., Potena, D., Storti, E. and Isaja, M.  Advanced Interoperability Services. Deliverable D5.3. BIVEE European project. Available at http://www.bivee.eu

2012

• Diamantini, C., Potena, D. and Storti, E. Towards and Open and Scientific Approach to Innovation Processes. In Proc. of NGEBIS Workshop in CAiSE2012, Gdansk, Poland, June 26, 2012.

• Diamantini, C., Potena, D. and Storti, E. Semantically Supported Team Building in a KDD Virtual Environment. In Proc. of the 2012 Int. Symposium on Collaboration Technologies and Systems (CTS 2012), Denver, USA, May 21-25, 2012, IEEE, pages 45-52.

• Diamantini, C., Potena, D. and Storti, E. A Platform for Collaborative and Distributed KDD Process Design (poster paper). In Proc. of the 2012 Int. Symposium on Collaboration Technologies and Systems (CTS 2012), Denver, USA, May 21-25, 2012, IEEE, pages 628-629. 

• Diamantini, C., Potena, D. and Storti, E. Mining Usage Patterns from a Repository of Scientific Workflow. In Proc. of the 27th Symposium on Applied Computing (SAC 2012), ACM, Riva del Garda, Italy, March 26-30, 2012, pages 152-157.

2011

• Diamantini, C., Potena, D. and Storti, E. Clustering of process schema by graph mining techniques. In Proc. of the Nineteenth Italian Symposium on Advanced Database Systems (SEBD 2011), Matarea, Italy, June 26-29, 2011, pages 49-56.

• Diamantini, C., Potena, D., and Storti, E.  A Semantic-Aided Designer for Knowledge Discovery. In Proc. of the 2011 Int. Symposium on Collaboration Technologies and Systems (CTS 2011), Philadelphia, USA, May 23-27, 2011, IEEE, pages 86-74.

2010

• Diamantini, C., Potena, D. and Storti, E. Supporting Users in KDD Process Design. A Semantic Similarity Matching Approach. In Proc. of the Planning To Learn Workshop in ECAI2010, Lisbon, Portugal, August 17, 2010, pages 27-34.

• Arbab, F., Diamantini, C., Potena, D. and Storti, E. Towards Coordination Patterns for Complex Experimentations in Data Mining. In Proc. of the Eighteenth Italian Symposium on Advanced Database Systems (SEBD 2010), Rimini, Italy, June 20-23, 2010, pages 106-117.

• Storti, E. Semantic-Driven Design and Management of KDD Processes. In Proc. of the 2010 Int. Symposium on Collaborative Technologies and Systems (CTS 2010), Chicago, USA, May 17-21, 2010, IEEE, pages 647-649.

• Diamantini, C., Potena, D. and Storti, E . Automatic Definition of KDD Prototype Process by Composition.  In A. D'Atri et al. (Eds.), "Management of Interconnected World", pages 193-200, Springer, 2010.

2009

• Diamantini, C., Potena, D. and Storti, E. KDDONTO: an Ontology for Discovery and Composition of KDD Algorithms. In Proc. of the ECML/PKDD09 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery, pages 13-24, Bled, Slovenia, Sep 7-11 2009.

• Diamantini, C., Potena, D. and Storti, E. Ontology-driven KDD Process Composition.  In N. Adams et al. (Eds.), Proc. of the 8th International Symposium on Intelligent Data Analysis, LNCS, volume 5772, pages 285-296. Springer, 2009.   

Talks

• A Knowledge-based approach to support analytic query answering in Semantic Data Lakes. ADBIS2022, Torino, Italy (September 2022)

• Shared Metrics of Sustainability: a Knowledge Graph Approach. SEBD2022, Tirrenia, Italy (June 2022)

• .A Semantic Data Lake Model for Analytic Query-Driven Discovery. iiWAS2021, online (2021)

• Multidimensional Linked Data Representation of Italian Datasets on COVID-19. I-CiTies2020, online (September 2020)

• How to Cope with Personnel Unavailability? Process Mining May Help!. SEBD2020, online, (June 2020)

• Semantic Modeling​ of Performance Indicators for Collaborative Information Systems​ (tutorial). CAISE2019, Rome, Italy (June 2019)

• Multi-Dimensional Contexts for Querying IoT Networks. SEBD2019, Castiglione della Pescaia, Italy (June 2019)

• A Big Data Framework for Analysis of Traffic Data in Italian Highways. ISMIS 2018. Limassol, Cyprus (October 2018)

• An approach to extracting thematic views from highly heterogeneous sources of a data lake. SEBD2018. Castellaneta Marina, Italy (June 2018)

• Exploiting mathematical structures of statistical measures for comparison of RDF Data Cubes. DAWAK 2017. Lyon, France (August 2017)

• Comparison of City Performances through Statistical Linked Data Exploration. IISSC 2017. Brindisi, Italy (April 2017) –  [slides]

• Semantic-driven Goal-Oriented Development of AAL Environments. CTS 2016. Orlando, Florida, USA (November 2016) – [slides]

• Collaborative Building of a Shared Library of Performance Indicators. SEBD 2016. Ugento, Italy (June 2016) – [slides]

• GoAAL: an Ontology for Goal-Oriented Development of AAL Environments. SAC 2016. Pisa, Italy (April 2016) – [slides]

• Semantics-based Multidimensional Query over Sparse Data Marts. DaWak 2015. Valencia, Spain (September 2015) – [slides]

• Collaborative Buildling of an Ontology of Key Performance Indicators. OTM 2014. CoopIS. Amantea, Italy (October 2014) – [slides]

• An Ontology-Based Data Exploration Tool for Key Performance Indicators. OTM2014, ODBASE. Amantea, Italy (October 2014) – [slides]

• Extending drill-down through semantic reasoning on indicator formulas. DaWak 2014. Munchen, Germany (September 2014) – [slides]

• A semantic-based tool for KPI exploration (DEMO). CAiSE 2014 NGEBIS Workshop. Thessaloniki, Greece (June 2014)

• Data Mart Reconciliation in Virtual Innovation Factories. CAiSE 2014 NGEBIS Workshop. Thessaloniki, Greece (June 2014) – [slides]

• A Logic-Based Formalization of KPIs for Virtual Enterprises. CAiSE 2013 NGEBIS Workshop. Valencia, Spain (June 2013) – [slides]

• Pattern Discovery from Innovation Processes. CTS2013. San Diego, California, USA (May 2013) – [slides]

• Towards an Open and Scientific Approach to Innovation Processes, CAiSE2012 NGEBIS Workshop. Gdansk, Poland (June 2012) – [slides]

• Mining Usage Patterns from a Repository of Scientific Workflows, SAC2012. Riva del Garda, Italy (March 2012) –[slides]

• Clustering of process schema by graph mining techniques (extended abstract), SEBD 2011. Maratea, Italy (June 2011)

• A Semantic-Aided Designer for Knowledge Discovery, CTS 2011. Philadelphia, Pennsylvania, USA (May 2011) – [slides]

• Supporting Users in KDD Process Design. A Semantic Similarity Metric Approach, ECAI 2010 PlanLearn Workshop. Lisbon, Portugal (August 2010) – [slides]

• Towards Coordination Patterns for Complex Experimentations in Data Mining, SEBD 2010. Rimini (June 2010)

• Semantic-Driven Design and Management of KDD Processes, Doctoral Dissertation Consortium, CTS 2010. Chicago, Illinois, USA (May 2010) – [slides]

• KDD meets Reo: towards Coordination Patterns for Complex KDD Experimentations, SYANCO winter school. Berlin, Germany (February 2010)

• Ontology-driven KDD Process Composition, seminar prof. Farhad Arbab group. CWI, Amsterdam, Netherlands (September 2009)

• KDDVM: Project Highlights and Some Applications, ECML/PKDD 2009 Project Exhibition. Bled, Slovenia (September 2009)

• KDDONTO: an Ontology for Discovery and Composition of KDD Algorithms, ECML/PKDD 2009 SoKD Workshop. Bled, Slovenia (September 2009)

• Ontology-driven KDD Process Composition, IDA 2009. Lyon, France (August 2009) – [slides]

Phd Thesis

Title: KDD Process Design in Collaborative and Distributed Environment

Tutor: Claudia Diamantini

Defence date: February, 28th, 2012

Download: full text, extended abstract