Semantic Web Lab
Department of Maths and Computer Science
University of Cagliari
The Semantic Web Lab is mainly devoted to the design, analysis and experimentation of algorithms and systems involving Big structured and unstructured Data for the Web, such as knowledge graphs, massive textual data, web and source code repositories.
Our effort is particularly focused on automating or simplifying access to these resources with innovative query systems, such as Question Answering over Linked Data, Machine Reading, SPARQL extensions and our By-Example Structured Query approach.
Members
Current
- Maurizio Atzori - co-Director, Lead Researcher for Semantic Web, Lab founder
- Barbara Pes - co-Director, Lead Researcher for Data Mining
- Diego Reforgiato - co-Director, Lead Researcher for Big Data
- Manuela Sanguinetti - Postdoc researcher
- Diego Marcia - Research assistant
- Livio Pompianu - Postdoc, teaching tutor
- Sara Regali - Intern Student (working on NLP systems/Disambiguation)
- Gabriele Obinu - Intern Student (working on ProbLog)
- Sandro Gabriele Tiddia - Intern Student (working on Okgraph)
- Simone Seu - Intern Student (working on BestQ)
- Danilo Dessì - PhD Student (supervised by Diego Reforgiato)
- Amna Dridi - PhD Student (supervised by Diego Reforgiato)
- Fabio Lilliu - PhD Student (supervised by Diego Reforgiato)
- Saeed Raza - PhD Student (supervised by Diego Reforgiato)
- Emanuele Mameli - Student (LM), formerly Research Assistant
- Fabio Carta - Intern, Student (LM) - NeuralTalk
- Samuele Virdis - Intern, Student (LM) - Emotion Detection leveraging Semantic Web
- Federico Spiga - Intern, Student (LM) - Development of robot ontology for Zorabot movements and actions
- Edoardo Cittadini - Intern, Student - Drone and object recognition
- Sergio Consoli - External Collaborator (Philips Research, Eindhoven)
Alumni
- Stefano Raimondo Usai - Student
- Enrico Medda - Student
- Mattia Atzeni - PhD Student (supervised by Maurizio Atzori), formerly Research Assistant, Student (LM) - CodeOntology
- Simone Balloccu - Intern, Student (LM) - OKgraph
- Andrea Bellanti - Intern, Student (LM) - OKgraph
- Roberto Cocco - Intern, Student - QA3ML
- Marco Taccori - Student
- Francesco Littarru - Student - NLP in collaboration with Eventa
- Andrea Dessi - PhD Student (supervised by Maurizio Atzori)
- Matteo Porcu - Intern, Student - QA3
- Ilyas Chaoua - Student (LM) - Detecting and tracking ongoing topics in psychotherapeutic conversations
- Andrea Medda - Student (LM) - Price Probe, Leveraging Google Trends for Price Forecasting using ARIMA on Amazon Products
- Alessio Pili - Student (LM) - Price Probe, Leveraging Google Trends for Price Forecasting using ARIMA on Amazon Products
- Federica Muceli - Intern, Student (LM) - HTMLpedia
- Simone Barbieri - Research Assistant
- Julia Schmidt - Student (LM18)
- Riccardo Angius - Student
- Andrea Maxia - Student
- Gabriele Rota - Student
- Stefano Serra - Student
- Mattia Setzu - Intern
- Annalisa Congiu - Intern
- Flavia Murru - Intern, Student (LM)
- Daniele S. Ferru - Student (LM)
- Andrea Medda - Student (LM)
Collaborations
The Semantic Web Lab has a number of international ongoing collaborations, including those with the Web Information Systems Laboratory at the Scalable Analytics Institute (UCLA), Politecnico di Milano and the STLab at ISTC (CNR).
Projects
In the following the list of some projects currently undertaken by our lab.
- WorkingAge Smart Working environments for all Ages. (third party unit in Horizon 2020 RIA Call H2020-SC1-DTH-2018-2020 Digital transformation in Health and Care)
- HOPE High quality Open data Publishing and Enrichment, PI of research unit (PRIN 2017, 2019-2022, €928K in total)
- ADMA Activity recognition in Dual Acquisition Mode: analysis, feature extraction and classification of actions and activities (Fondazione di Sardegna-UniCA)
- TypicalBI Typical Business Intelligence platform, PI (privately-funded by Typical S.r.l., 2018-2019)
- EmILIE sEnsing ImpLicit Input and Emotions (Fondazione di Sardegna, 2017-2019)
- DoUtDes trasferimento di tecnologie e competenze di Business Intelligence alle aziende dei settori innovativi e tradizionali. Founded by Regione Sardegna through Sardegna Ricerche POR-FESR
- OKgraph OKgraph: automatic learning and querying the Sardinian Open Knowledge Graph. Creating Knowledge Graphs from scratch, without human intervention. Founded by Regione Sardegna through Sardegna Ricerche.
- swipeQA Exploiting Structured Queries in Question Answering and Search. In collaboration with Prof. Carlo Zaniolo (UCLA), awarded by a Google Faculty Research Award.
- SWiPE Searching Wikipedia by Example, a user-friendly interface for structured queries
- Security Horizons A consortium of universities working on security and privacy issues (PRIN 2010-11 project)
- wfn Web of Functions, executable functions spread around the Web
- SPARQL4coding Massive dataset of Source code repositories that can be queried with SPARQL
- rankProperties a machine-learning approach to sort RDF properties on the fly
- runSPARQL Recursion and SPARQL macros within SPARQL engines
- woraSPARQL Write-One Run-Anywhere SPARQL Custom Functions plugin for OpenLink Virtuoso
- QA3 (QAcube) Question Answering over Statistical Linked Data. Awarded at the QALD-6 Task3 Challenge, with a 2nd place in its category.
Previous projects:
- MARIO Managing Active and healthy aging with use of caRing servIce robots. Founded by EU
- Waternomics - ICT for Water Management. Founded by EU
- DENIS
DENIS: Dataspaces Enhancing the Next Internet in Sardinia (RAS)
- U-DID
PI of project Unstructured Data Integration for Dataspaces (RAS)
- DIVA
A predictive system aimed at fighting against tax evasion in VAT domain
- KDubiq
Ubiquitous Knowledge Discovery (WG5: Privacy and Security)
- GeoPKDD
Geographic Privacy-aware Knowledge Discovery and Delivery
- GeoPKDD.it
Italian Project on Geographic Privacy-aware Knowledge Discovery and Delivery (MIUR COFIN2004)
- P3D - Privacy Preserving Pattern Discovery
A “Curiosity Driven and Independent Research” ISTI Internal Project
- KDDML-MQL
Knowledge Discovery in Databases Markup Language
- ClickWorld
Data analysis of Click Streams