Fabio Persia

Senior Researcher

Blocco Zero, Room
fabio.persia@univaq.it

Research Statement

I am currently (since November 2020) a Tenure-Track Assistant Professor (Italian RTD/B) at the Information Engineering and Computer Science and Mathematics (DISIM) Department of the University of L’Aquila, Italy. Previously, I was an Assistant Professor (Italian RTD/A) at the Faculty of Computer Science of the Free University of Bozen-Bolzano, Italy. I received the master's and PhD degrees in Computer Science and Engineering from the University of Naples “Federico II”, Italy, in 2009 and 2013, respectively, under the supervision of Professors Antonio Picariello and Vincenzo Moscato. During my PhD, I was visiting scholar at the University of Maryland, College Park (USA) for six months, under the supervision of Prof. V.S. Subrahmanian. I was also Postdoctoral Research Fellow at the Department of Electrical Engineering and Information Technology of the University of Naples "Federico II" from 2013 to 2015. Moreover, I achieved the Italian National Scientific Habilitation (ASN) as Associate Professor in the scientific-disciplinary sectors ING-INF/05 and INF/01 in November 2020.

My research interests include the fields of event detection and analysis in large scale databases applied to multimedia, semantic analysis and security, as demonstrated by several papers published in top journals (such as TKDE, TOIT, and VLDBJ) and conferences (IJCAI, EDBT, CIKM). During my PhD, I mostly worked on the detection of unexplained activities in a sequence of time-stamped observation data [1, 2], under the supervision of Professors Antonio Picariello, Vincenzo Moscato and V.S. Subrahmanian; more specifically, we defined a general model along with some complex algorithms to detect unexplained activities, and we carried out massive experiments in both video surveillance and cyber-security domains. Afterwards, we have also extended such approach to social network analysis [4].

Since I arrived to Bolzano (May 2015), I worked on a highly interactive event detection system in the video surveillance context in collaboration with Prof. Sven Helmer. Such system ranges from the generation of raw events to the formulation and the detection of complex high-level events in both offline and online modes. We presented the overall system at CIKM 2017 in Singapore [5, demo]. More specifically, the system is based on an extension of relational algebra, ISEQL (Interval-based Surveillance Event Query Language) - that we defined in a specific paper [6] -, enriched with powerful temporal operators. Such operators have been implemented by defining some very efficient plane sweeping interval join algorithms [3]. Moreover, we have recently also adapted and extended ISEQL to fit the requirements of a social network setting. In fact, we have extended the overall event detection framework to allow the detection of high-level events in a social network context [10], for instance abnormal or malicious behavior such as spamming. Additionally, I also worked on a probabilistic approach for itinerary planning with category constraints (in collaboration with Dr. Paolo Bolzoni and Prof. Sven Helmer) [7], and on a system including social sensing for improving the user experience in orienteering [8, 9]. Additionally, I was able to attract more than 45,000 euros in funding to finance part of my research work.

One of the main goals of my research will deal with the integration of the new ISEQL operators defined for social network context in the query processing framework of the PostgreSQL database management system. This involves both further extending the ISEQL interval relationships – in order to make them even more flexible - , and improving their efficiency – in order to further speed-up the detection process, especially in a real time setting. Additionally, I also plan to integrate the overall framework for high-level surveillance event detection with a smart robot, in order to enhance the monitoring process. More specifically, the robot will be able to improve the quality of a video stream, which in the earlier work was recorded from a static camera position, by providing a mobile camera, enabling us to get footage from different angles. Furthermore, the robot platform will be able to go beyond just contacting security or the police by taking immediate action when a potentially dangerous event is detected: for instance, picking up an unattended package. Preliminary versions of this framework prototype are shown in [11] and [12]. Then, the following goal would be to improve and extend our current work on event-detection platforms. More specifically, I plan to further increase the efficiency of the data processing components, allowing for faster reaction times and a higher data throughput. Additionally, I want to improve the video capturing capabilities by switching to a multi-camera configuration. Eventually, I plan to replace the Rapiro toy robot that was used for the feasibility studies with more sophisticated hardware to enhance the mobile capabilities of the platform.

Selected Publications

[1] Massimiliano Albanese, Cristian Molinaro, Fabio Persia, Antonio Picariello, VS Subrahmanian: Finding “unexplained” activities in video. Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, July 2011: 1628-1634.

[2] Massimiliano Albanese, Cristian Molinaro, Fabio Persia, Antonio Picariello, VS Subrahmanian: Discovering the Top-k Unexplained Sequences in Time-Stamped Observation Data. IEEE Transactions on Knowledge and Data Engineering, Volume 26, Number 3, 2014: 577-594.

[3] Danila Piatov, Sven Helmer, Anton Dignös, Fabio Persia, Cache-Efficient Sweeping-Based Interval Joins for Extended Allen Relation Predicates, accepted for publication in the VLDB Journal.

[4] Flora Amato, Aniello Castiglione, Aniello De Santo, Vincenzo Moscato, Antonio Picariello, Fabio Persia, Giancarlo Sperlí: Recognizing human behaviours in online social networks. Computers & Security, Volume 74, 2018: 355-370.

[5] Fabio Persia, Fabio Bettini, Sven Helmer: An Interactive Framework for Video Surveillance Event Detection and Modeling. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM’17), Singapore, November 2017: 2515-2518.

[6] Sven Helmer, Fabio Persia: ISEQL: an Interval-based Surveillance Event Query Language. International Journal of Multimedia Data Engineering and Management (IJMDEM), Volume 7, Number 4, 2016: 1-21.

[7] Paolo Bolzoni, Fabio Persia, Sven Helmer: Itinerary Planning with Category Constraints using a Probabilistic Approach. International Conference on Database and Expert Systems Applications (DEXA’17), Lyon, August 2017: 363-377.

[8] Fabio Persia, Sven Helmer, Sergejs Pugacs, Giovanni Pilato: Social Sensing for Improving the User Experience in Orienteering, 2019 IEEE 13th International Conference on Semantic Computing (ICSC ‘19), Newport Beach, California, January 2019: 239-246.

[9] Fabio Persia, Giovanni Pilato, Mouzhi Ge, Paolo Bolzoni, Daniela D’Auria, Sven Helmer, Improving Orienteering-based Tourist Trip Planning with Social Sensing, “Data Exploration in the Web 3.0 Age” on the Future Generation Computer Systems (FGCS) Journal 110, 931-945 (2020).

[10] Fabio Persia, Sven Helmer: A Framework for High-Level Event Detection in a Social Network Context Via an Extension of ISEQL, in: IEEE, 2018 IEEE Twelfth International Conference on Semantic Computing (IEEE ICSC 2018),  140-147, (2018).

[11] Daniela D'Auria, Fabio Persia, Fabio Bettini, Sven Helmer, Bruno Siciliano: SARRI: a SmArt Rapiro Robot Integrating a framework for automatic high-level surveillance event detection, in: 2018 Second IEEE International Conference on Robotic Computing (IEEE IRC 2018), 238-241, (2018).

[12] Daniela D'Auria, Fabio Persia, Fabio Bettini, Sven Helmer: Predicting and Preventing Dangerous Events via Video Surveillance Using a Robotic Platform, 2019 Third IEEE International Conference on Robotic Computing (IEEE IRC 2019), 549-554, (2019).

 

Teaching web pages:
Office hours:
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My Publications on Google Scholar

My Publications on Scopus

International Academic Referred Journals

Journal publications ranked Q1 according to Scimago are listed in bold.

2021

[J10] D. Piatov, S. Helmer, A. Dignös, F. Persia, Cache-Efficient Sweeping-Based Interval Joins for Extended Allen Relation Predicates, The VLDB Journal (2021), (2021).

2020

[J9] F. Persia, G. Pilato, M. Ge, P. Bolzoni, D. D’Auria, S. Helmer, Improving Orienteering-based Tourist Trip Planning with Social Sensing, “Data Exploration in the Web 3.0 Age” on the Future Generation Computer Systems (FGCS) Journal 110, 931-945 (2020).

2018

[J8] F. Amato, A. Castiglione, A. De Santo, V. Moscato, A. Picariello, F. Persia, G. Sperlì, Recognizing human behaviours in online social networks, Computers & Security 74, 355-370, (2018).

[J7] M. Ge, F. Persia, A generalized evaluation framework for multimedia recommender systems, International Journal of Semantic Computing (IJSC), 12 (04), 541-557, (2018).

[J6] D. D’Auria, F. Persia, A Methodology for Improving Vegetation Representation and Health Exploiting a Semantic Robotic System and Its Dynamic Stability Control, International Journal of Semantic Computing (IJSC), 12 (01), 25-41, (2018).

2017

[J5] M. Ge, F. Persia, A Survey of Multimedia Recommender Systems: Challenges and Opportunities. Int. J. Semantic Computing (IJSC), 11(3): 411-428, (2017).

2016

[J4] S. Helmer, F. Persia, ISEQL, an Interval-based Surveillance Event Query Language, International Journal of Multimedia Data Engineering & Management (IJMDEM), vol. 7, p. 1-21, ISSN: 1947-8534, (2016).

2014

[J3] M. Albanese, C. Molinaro, F. Persia, A. Picariello, V. S. Subrahmanian, Discovering the Top-k Unexplained Sequences in Time-Stamped Observation Data, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 26(3): 577-594, (2014).

2013

[J2] M. Albanese, A. d'Acierno, V. Moscato, F. Persia, A. Picariello, A Multimedia Recommender System, ACM Transactions on Internet Technology (ACM TOIT), 13(1): 3:1-3:32, (2013).

2011

[J1] M. Albanese, A. d'Acierno, V. Moscato, F. Persia, A. Picariello, A Novel Strategy for Recommending Multimedia Objects and its Application in the Cultural Heritage Domain, International Journal of Multimedia Data Engineering & Management (IJMDEM), vol. 2, issue 4 p. 1-18, (2011).

 

Book Chapters

[B2] F. Amato, L. Greco, F. Persia, S. R. Poccia, A. De Santo: Content-Based Multimedia Retrieval, Data Management in Pervasive Systems, 291-310, (2015).

[B1] M. Albanese, R. F. Erbacher, S. Jajodia, C. Molinaro, F. Persia, A. Picariello, G. Sperlì, V. S. Subrahmanian: Recognizing Unexplained Behavior in Network Traffic, Network Science and Cybersecurity, 39-62, (2014).

 

Peer Reviewed International Conferences and Workshops with Formal Proceedings

Conference publications ranked A or A* according to the CORE Conference Portal are listed in bold.

2020

[C57] C. Roggia, F. Persia, “Extraction of Frame Sequences in the Manga Context”, 22nd IEEE International Symposium on Multimedia (IEEE ISM 2020), (2020).

[C56] F. Persia, D. D'Auria and G. Pilato, "Fast Learning and Prediction of Event Sequences in a Robotic System", 2020 Fourth IEEE International Conference on Robotic Computing (IEEE IRC 2020), (2020).

[C55] J. R. Barr, D. D'Auria and F. Persia, "Telemedicine, Homecare in the Era of COVID-19 & Beyond", 2020 Third International Conference on Artificial Intelligence for Industries (IEEE ai4i 2020), (2020).

[C54] F. Persia, D. D’Auria, G. Pilato: An Overview of Video Surveillance Approaches, 2020 IEEE 14th International Conference on Semantic Computing (IEEE ICSC 2020), (2020).

[C53] F. Persia, D. D’Auria, M. Ge: Improving Learning System Performance with Multimedia Semantics, 2020 IEEE 14th International Conference on Semantic Computing (IEEE ICSC 2020), (2020).

2019

[C52] M. Ge, F. Persia, D. D’Auria: Advanced Recommender Systems by Exploiting Social Networks, First IEEE International Conference on Humanized Computing and Communication (IEEE HCC 2019), (2019).

[C51] D. D’Auria, M. Ge, F. Persia: Exploiting Recommender Systems in Collaborative Healthcare, the 16th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN 2019), (2019).

[C50] F. Persia and S. Helmer: High-level Automatic Event Detection and User Classification in a Social Network Context, the Sixth International Workshop on Graphical Models for Security (GraMSec 2019) – co-located with 32nd IEEE Computer Security Foundations Symposium (IEEE CSF 2019), (2019).

[C49] D. D'Auria, F. Persia, F. Bettini, S. Helmer: Predicting and Preventing Dangerous Events via Video Surveillance Using a Robotic Platform, 2019 Third IEEE International Conference on Robotic Computing (IEEE IRC 2019), 549-554, (2019).

[C48] M. Ge, F. Persia: Factoring Personalization in Social Media Recommendations, 2019 IEEE 13th International Conference on Semantic Computing (IEEE ICSC 2019), 344-347, (2019).

[C47] F. Persia, S. Helmer, S. Pugacs, G. Pilato, Social Sensing for Improving the User Experience in Orienteering, 2019 IEEE 13th International Conference on Semantic Computing (IEEE ICSC 2019), 239-246, (2019).

2018

[C46] D. D'Auria, F. Persia: Design of a Framework Allowing Researchers to Optimize Their Academic Evaluation, 2018 First International Conference on Artificial Intelligence for Industries (IEEE ai4i 2018), 89-91, (2018).

[C45] F. Persia, M. Ge, D. D'Auria, How to Exploit Recommender Systems in Social Media, 2018 IEEE International Conference on Information Reuse and Integration (IEEE IRI 2018), 537-541, (2018).

[C44] D. D'Auria, F. Persia, F. Bettini, S. Helmer, B. Siciliano: SARRI: a SmArt Rapiro Robot Integrating a framework for automatic high-level surveillance event detection, in: 2018 Second IEEE International Conference on Robotic Computing (IEEE IRC 2018), 238-241, (2018).

[C43] F. Persia, S. Helmer: A Framework for High-Level Event Detection in a Social Network Context Via an Extension of ISEQL, in: IEEE, 2018 IEEE Twelfth International Conference on Semantic Computing (IEEE ICSC 2018),  140-147, (2018).

[C42] M. Ge, F. Persia: Evaluation in Multimedia Recommender Systems: a Practical Guide, in: IEEE, 2018 IEEE Twelfth International Conference on Semantic Computing (IEEE ICSC 2018), 294-297, (2018).

2017

[C41] F. Persia, F. Bettini, S. Helmer: An Interactive Framework for Video Surveillance Event Detection and Modeling, in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (ACM CIKM ‘17), 2515—2518, (2017).

[C40] P. Bolzoni, F. Persia, S. Helmer: Itinerary Planning with Category Constraints Using a Probabilistic Approach, in: Database and Expert Systems Applications: 28th International Conference, DEXA 2017, 363—377, (2017).

[C39] F. Persia, D. D’Auria: A Methodology for Improving Vegetation Representation and Health Exploiting a Semantic Robotic System, in: Proceedings of the First International Workshop on Semantic Robotics (SR ’17), co-located with the 2017 IEEE Eleventh International Conference on Semantic Computing (IEEE ICSC 2017), 499-502, (2017).

[C38] D. D'Auria, F. Persia: The Role of Semantics in Improving Medical Doctors' Performance, in: 2017 First IEEE International Conference on Robotic Computing (IEEE IRC 2017), 428-433, (2017).

[C37] M. Ge, F. Persia: Research Challenges in Multimedia Recommender Systems, In: First International Workshop on Semantic Multimedia Computing (SMC ’17) in conjunction with the Eleventh IEEE International Conference on Semantic Computing (IEEE ICSC 2017), 344-347, (2017).

[C36] F. Persia, F. Bettini, S. Helmer: Labeling the Frames of a Video Stream with Interval Events, in: Proceedings - IEEE 11th International Conference on Semantic Computing (IEEE ICSC 2017), 204-211, (2017).

2016

[C35] D. D'Auria, F. Persia, B. Siciliano: Human-Computer Interaction in Healthcare: How to Support Patients during Their Wrist Rehabilitation, in: 2016 IEEE Tenth International Conference on Semantic Computing (IEEE ICSC 2016), 325-328, (2016).

[C34] S. Helmer, F. Persia: An Interval-based Query Language for High-level Surveillance Event Detection, in: Proceedings of the 24th Italian Symposium on Advanced Database Systems (SEBD 2016), 126-133, (2016).

[C33] F. Persia, S. Helmer: An Event Detection Framework Supported by a Smart Graphical User Interface, in: 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016), 490-495, (2016).

[C32] S. Helmer, F. Persia: High-Level Surveillance Event Detection Using an Interval-Based Query Language, in: 2016 IEEE Tenth International Conference on Semantic Computing (IEEE ICSC 2016), 39-46, (2016).

2015

[C31] F. Amato, R. Boselli, M. Cesarini, F. Mercorio, M. Mezzanzanica, V. Moscato, F. Persia, A. Picariello: Classification of Web Job Advertisements: A Case Study, in: the 23rd Italian Symposium on Advanced Database Systems (SEBD 2015), 144-151, (2015).

[C30] F. Amato, A. De Santo, F. Gargiulo, V. Moscato, F. Persia, A. Picariello, G. Sperlì: A Novel Approach to Query Expansion based on Semantic Similarity Measures, in: Proceedings of the 4th International Conference on Data Management Technologies and Applications (DATA 2015), 344-353, (2015).

[C29] F. Amato, A. De Santo, V. Moscato, F. Persia, A. Picariello, S.R. Poccia, G. Sperlì: A structure-based approach for ontology partitioning, in: the 23rd Italian Symposium on Advanced Database Systems (SEBD 2015), 184-191, (2015).

[C28] F. Colace, M. De Santo, L. Greco, F. Amato, V. Moscato, F. Persia, A. Picariello: A user-centered approach for social recommendations, in: the 8th International Conference on Advances in Computer-Human Interactions (ACHI 2015), 190-193, (2015).

[C27] D. D'Auria, F. Persia: A framework for real-time evaluation of medical doctors’ performances while using a cricothyrotomy simulator, Communications in Computer and Information Science, vol. 178, 182-198, (2015).

[C26] D. D'Auria, F. Persia, B. Siciliano: A Low-Cost Haptic System for Wrist Rehabilitation, in: the 2015 IEEE International Conference on Information Reuse and Integration (IEEE IRI 2015), 491-495, (2015).

[C25] F. Amato, A. De Santo, F. Gargiulo, V. Moscato, F. Persia, A. Picariello, S.R. Poccia: SemTree: an index for supporting semantic retrieval of documents, in: Proceedings of the 2015 31st IEEE International Conference on Data Engineering (IEEE ICDE 2015), 62 -67, (2015).

[C24] F. Amato, R. Boselli, M. Cesarini, F. Mercorio, M. Mezzanzanica, V. Moscato, F. Persia, A. Picariello: Challenge: Processing web texts for classifying job offers, in: Proceedings of the 2015 IEEE International Conference on Semantic Computing (IEEE ICSC 2015), 460-463, (2015).

[C23] F. Amato, A. De Santo, V. Moscato, F. Persia, A. Picariello, S. R. Poccia: Partitioning of ontologies driven by a structure-based approach, in: Proceedings of the 2015 IEEE International Conference on Semantic Computing (IEEE ICSC 2015), 320-323, (2015).

[C22] F. Persia, D. D'Auria, G. Sperlì, A. Tufano: A Prototype for Anomaly Detection in Video Surveillance Context, in: Intelligent Software Methodologies, Tools and Techniques. vol. 532, 517-528, (2015).

[C21] F. Persia, D. D'Auria: A Distributed Framework for Event Detection in Video Surveillance Context. in: the 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 578-583, (2015).

[C20] A. d'Acierno, F. Gargiulo, V. Moscato, A. Penta, F. Persia, A. Picariello, C. Sansone, G. Sperlì: A Multimedia Summarizer Integrating Text and Images. in: Intelligent Interactive Multimedia Systems and Services, SMART INNOVATION, SYSTEMS AND TECHNOLOGIES, vol. 40, 21-33, (2015).

[C19] F. Amato, A. De Santo, V. Moscato, F. Persia, A. Picariello, S.R. Poccia: Partitioning of ontologies driven by a structure-based approach, in: the 2015 IEEE International Conference on Semantic Computing (IEEE ICSC 2015), 320-323, (2015).

2014

[C18] F. Amato, A. De Santo, V. Moscato, F. Persia, A. Picariello: Detecting Unexplained Human Behaviors in Social Networks, in: the 2014 IEEE International Conference on Semantic Computing (IEEE ICSC 2014), 143-150, (2014).

[C17] F. Amato, F. Gargiulo, V. Moscato, F. Persia, A. Picariello: Recommendation of Multimedia Objects for Social Network Applications, in: EDBT/ICDT 2014: Proceedings of the EDBT/ICDT 2014 joint conference (EDBT/ICDT 2014), vol. 1133, 288-293, (2014).

[C16] D. D'Auria, F. Persia: Automatic Evaluation of Medical Doctors' Performances while Using a Cricothyrotomy Simulator, in: Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014), 514 -519, (2014).

[C15] D. D'Auria, F. Persia: Discovering Expected Activities in Medical Context Scientific Databases, in: Proceedings of DATA 2014, Special Session on Knowledge Discovery meets Information Systems: Experiences and Lessons Learned Dealing with Real-life Scenarios (KomIS 2014), 514-519, (2014).

[C14] F. Persia, F. Amato, F. Gargiulo, S.R. Poccia, A. De Santo: Finding Unexplained Human Behaviors in Social Networks, in: the 22nd Italian Symposium on Advanced Database Systems (SEBD 2014), 89-96, (2014).

[C13] F. Persia, D. D'Auria: An Application for Finding Expected Activities in medical context scientific databases, in: the 22nd Italian Symposium on Advanced Database Systems (SEBD 2014): 77-88, (2014).

2013

[C12] F. Amato, F. Gargiulo, V. Moscato, F. Persia, A. Picariello: PSIS: Parallel Semantic Indexing System - Preliminary Experiments, in: Algorithms and Architectures for Parallel Processing: 13th International Conference (ICA3PP 2013), Proceedings, Part II, Lecture Notes in Computer Science, vol. 8286, 133-140, (2013).

[C11] F. Amato, V. Moscato, F. Persia, A. Picariello, F. Gargiulo: An RDF-Based Framework for Semantic Indexing of Web Pages, in: the 2013 IEEE Seventh International Conference on Semantic Computing (IEEE ICSC 2013), 395-396, (2013).

2012

[C10] A. Chianese, V. Moscato, F. Persia, A. Picariello, C. Sansone: A framework for building multimedia ontologies from Web Information Sources, in: Proceedings of the 20th Italian Symposium on Advanced Database Systems (SEBD 2012) vol. 2012, 83-90, (2012).

[C9] A. d’Acierno, V. Moscato, A. Penta, F. Persia, A. Picariello: iWIN: A Summarizer System Based on a Semantic Analysis of Web Documents, in: the 2012 IEEE Sixth International Conference on Semantic Computing (IEEE ICSC 2012), 162-169, (2012).

2011

[C8] M. Albanese, C. Molinaro, F. Persia, A. Picariello, V.S. Subrahmanian: Finding "Unexplained" Activities in Video, in: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-11), 1628-1634, (2011).

[C7] M. Albanese, A. d'Acierno, V. Moscato, F. Persia, A. Picariello: A Multimedia Semantic Recommender System for Cultural Heritage Applications, in: Proceedings of the Fifth IEEE International Conference on Semantic Computing (IEEE ICSC 2011), 403-410, (2011).

2010

[C6] A. d'Acierno, V. Moscato, A. Penta, F. Persia, A. Picariello: Semantic Summarization of Web Documents, in: Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing (IEEE ICSC 2010), 430-435, (2010).

[C5] M. Albanese, A. d'Acierno, V. Moscato, F. Persia, A. Picariello: A Ranking Method for Multimedia Recommenders, in: CIVR '10 Proceedings of the ACM International Conference on Image and Video Retrieval, 311-318, (2010).

[C4] M. Albanese, A. d’Acierno, V. Moscato, F. Persia, A. Picariello: Modeling Recommendation as a Social Choice Problem, in: ACM, Proceedings of the Fourth ACM Conference on Recommender Systems, 329-332, (2010).

[C3] V. Moscato, A. Penta, F. Persia, A. Picariello: MOWIS: A system for building Multimedia Ontologies from Web Information Sources, in: Proceedings of the First Italian Information Retrieval Workshop (IIR 2010), 89-93, (2010).

[C2] A. d’Acierno, V. Moscato, A. Penta, F. Persia, A. Picariello: Semantic Summarization of Web Documents, in the IEEE Fourth International Conference on Semantic Computing (IEEE ICSC 2010), 430-435, (2010).

2009

[C1] V. Moscato, A. Penta, F. Persia, A. Picariello: A System for Automatic Image Categorization, in: Proceedings of the IEEE Third International Conference on Semantic Computing (IEEE ICSC 2009), 624 -629, (2009).