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Danilo Dessì
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- affiliation: GESIS - Leibniz-Institut für Sozialwissenschaften, Cologne, Germany
- affiliation (PhD 2022): University of Cagliari, Italy
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2020 – today
- 2024
- [j12]Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access 12: 77269-77283 (2024) - [j11]Rubén Alonso, Danilo Dessì, Antonello Meloni, Diego Reforgiato Recupero:
A Novel Knowledge Plug-In for Incorporating Information About Employability From the O*NET Database Into Conversational Agents. IEEE Access 12: 92663-92681 (2024) - [j10]Rubén Alonso, Danilo Dessì, Antonello Meloni, Marco Murgia, Diego Reforgiato Recupero, Giuseppe Scarpi:
A Seamless ChatGPT Knowledge Plug-in for the Labour Market. IEEE Access 12: 155821-155837 (2024) - [j9]Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero:
Citation prediction by leveraging transformers and natural language processing heuristics. Inf. Process. Manag. 61(1): 103583 (2024) - [c36]Susmita Gangopadhyay, Sebastian Schellhammer, Salim Hafid, Danilo Dessì, Christian Koß, Konstantin Todorov, Stefan Dietze, Hajira Jabeen:
Investigating Characteristics, Biases and Evolution of Fact-Checked Claims on the Web. HT 2024: 246-258 - [c35]Stefani Tsaneva, Danilo Dessì, Francesco Osborne, Marta Sabou:
Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop. Sci-K@ISWC 2024 - [c34]Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. SemTech4STLD@ESWC 2024: 49-60 - [c33]Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero:
Automating Citation Placement with Natural Language Processing and Transformers. SemTech4STLD@ESWC 2024: 68-75 - [c32]Danilo Dessì, Gianni Fenu, Sergio Consoli, Vanni Zavarella, Francesco Osborne, Davide Buscaldi, Simone Angioni, Diego Reforgiato Recupero:
Knowledge Graphs for Digital Transformation Monitoring in Social Media. TEXT2KG/DQMLKG@ESWC 2024: 13 - [e4]Rima Dessi, Danilo Dessì, Francesco Osborne, Hidir Aras:
Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD) co-located with the Extended Semantic Web Conference 2024 (ESWC 2024), Hersonissos, Greece, May 26th, 2024. CEUR Workshop Proceedings 3697, CEUR-WS.org 2024 [contents] - [i4]Vanni Zavarella, Sergio Consoli, Diego Reforgiato Recupero, Gianni Fenu, Simone Angioni, Davide Buscaldi, Danilo Dessì, Francesco Osborne:
Triplètoile: Extraction of Knowledge from Microblogging Text. CoRR abs/2408.14908 (2024) - 2023
- [c31]Olga L. Giraldo, Danilo Dessì, Stefan Dietze, Dietrich Rebholz-Schuhmann, Leyla Jael Castro:
Machine-Actionable Metadata for Software and Software Management Plans for NFDI. CoRDI 2023 - [c30]Susmita Gangopadhyay, Katarina Boland, Danilo Dessì, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, Hajira Jabeen:
Truth or Dare: Investigating Claims Truthfulness with ClaimsKG. D2R2 2023 - [c29]Leyla Jael Castro, Dietrich Rebholz-Schuhmann, Danilo Dessì, Jens Dierkes, Sonja Schimmler:
DaMaLOS 2023 Editorial Note. DaMaLOS 2023 - [c28]Danilo Dessì, Rima Dessi:
Diving into Knowledge Graphs for Patents: Open Challenges and Benefits. ESWC Workshops 2023 - [c27]Saurav Karmakar, Matthäus Zloch, Fidan Limani, Benjamin Zapilko, Sharmila Upadhyaya, Jennifer D'Souza, Leyla Jael Castro, Georg Rehm, Marcel R. Ackermann, Harald Sack, Zeyd Boukhers, Sonja Schimmler, Danilo Dessì, Peter Mutschke, Stefan Dietze:
Research Knowledge Graphs in NFDI4DS. GI-Jahrestagung 2023: 909-918 - [c26]Rubén Alonso, Danilo Dessì, Antonello Meloni, Diego Reforgiato Recupero:
A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition. SAC 2023: 936-938 - [e3]Leyla Jael Castro, Danilo Dessì, Jens Dierkes, Dietrich Rebholz-Schuhmann, Sonja Schimmler:
3rd Workshop on Metadata and Research (objects) Management for Linked Open Science - DaMaLOS 2023, co-located with ESWC 2023, Hersonissos, Greece, May 29, 2023. 2023 [contents] - 2022
- [j8]Agustín Borrego, Danilo Dessì, Inma Hernández, Francesco Osborne, Diego Reforgiato Recupero, David Ruiz, Davide Buscaldi, Enrico Motta:
Completing Scientific Facts in Knowledge Graphs of Research Concepts. IEEE Access 10: 125867-125880 (2022) - [j7]Geoffray Bonnin, Danilo Dessì, Gianni Fenu, Martin Hlosta, Mirko Marras, Harald Sack:
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. Future Gener. Comput. Syst. 127: 331-333 (2022) - [j6]Danilo Dessì, Diego Reforgiato Recupero:
LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories. J. Intell. Inf. Syst. 59(1): 21-44 (2022) - [j5]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. Knowl. Based Syst. 258: 109945 (2022) - [c25]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. ISWC 2022: 678-696 - 2021
- [j4]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Gener. Comput. Syst. 116: 253-264 (2021) - [c24]Fabian Hoppe, Danilo Dessì, Harald Sack:
Understanding Class Representations: An Intrinsic Evaluation of Zero-Shot Text Classification. DL4KG@ISWC 2021 - [c23]Mehwish Alam, Henk Birkholz, Danilo Dessì, Christoph Eberl, Heike Fliegl, Peter Gumbsch, Philipp von Hartrott, Lutz Mädler, Markus Niebel, Harald Sack, Akhil Thomas:
Ontology Modelling for Materials Science Experiments. SEMANTiCS (Posters & Demos) 2021 - [c22]Mary Ann Tan, Tabea Tietz, Oleksandra Bruns, Jonas Oppenlaender, Danilo Dessì, Harald Sack:
DDB-KG: The German Bibliographic Heritage in a Knowledge Graph. HistoInformatics@JCDL 2021 - [c21]Mahsa Vafaie, Oleksandra Bruns, Danilo Dessì, Nastasja Pilz, Harald Sack:
Modelling Archival Hierarchies in Practice: Key Aspects and Lessons Learned. HistoInformatics@JCDL 2021 - [c20]Tabea Tietz, Oleksandra Bruns, Sandra Göller, Matthias Razum, Danilo Dessì, Harald Sack:
Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage. Qurator 2021 - [c19]Oleksandra Vsesviatska, Tabea Tietz, Fabian Hoppe, Mirjam Sprau, Nils Meyer, Danilo Dessì, Harald Sack:
ArDO: an ontology to describe the dynamics of multimedia archival records. SAC 2021: 1855-1863 - [c18]Mary Ann Tan, Tabea Tietz, Oleksandra Bruns, Jonas Oppenlaender, Danilo Dessì, Harald Sack:
DDB-EDM to FaBiO: The Case of the German Digital Library. ISWC (Posters/Demos/Industry) 2021 - [c17]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM 2021: 57-64 - [c16]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. WSDM 2021: 1165-1166 - [c15]Fabian Hoppe, Danilo Dessì, Harald Sack:
Deep Learning meets Knowledge Graphs for Scholarly Data Classification. WWW (Companion Volume) 2021: 417-421 - [c14]Mehwish Alam, Russa Biswas, Yiyi Chen, Danilo Dessì, Genet Asefa Gesese, Fabian Hoppe, Harald Sack:
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles. WWW (Companion Volume) 2021: 436-440 - [e2]Sarra Ben Abbès, Rim Hantach, Philippe Calvez, Davide Buscaldi, Danilo Dessì, Mauro Dragoni, Diego Reforgiato Recupero, Harald Sack:
Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th - 7th, 2021 (moved online). CEUR Workshop Proceedings 2918, CEUR-WS.org 2021 [contents] - [e1]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online. CEUR Workshop Proceedings 2876, CEUR-WS.org 2021 [contents] - [d1]Mary Ann Tan, Tabea Tietz, Oleksandra Bruns, Danilo Dessì, Harald Sack:
DDB-KG v0.1. Zenodo, 2021 - [i3]Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. CoRR abs/2105.09632 (2021) - 2020
- [c13]Fabian Hoppe, Tabea Tietz, Danilo Dessì, Mirjam Sprau, Mehwish Alam, Harald Sack:
The Challenges of German Archival Document Categorization on Insufficient Labeled Data. WHiSe@ESWC 2020: 15-20 - [c12]Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. SmartPhil@IUI 2020: 1-12 - [c11]Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras:
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI 2020: 33-49 - [c10]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, Harald Sack:
AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence. ISWC (2) 2020: 127-143 - [i2]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain. CoRR abs/2011.01103 (2020)
2010 – 2019
- 2019
- [j3]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Comput. Hum. Behav. 92: 468-477 (2019) - [c9]Diego Reforgiato Recupero, Danilo Dessì, Emanuele Concas:
A Flexible and Scalable Architecture for Human-Robot Interaction. AmI 2019: 311-317 - [c8]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Publications for Scientific Knowledge Graph Construction. ESWC (Satellite Events) 2019: 8-12 - [c7]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. DL4KG@ESWC 2019: 21-30 - [c6]Danilo Dessì, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Evaluating neural word embeddings created from online course reviews for sentiment analysis. SAC 2019: 2124-2127 - [c5]Gianluca Bardaro, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Parsing Natural Language Sentences into Robot Actions. ISWC (Satellites) 2019: 93-96 - [p1]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. Machine Learning Paradigms 2019: 7-30 - [i1]Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam, Omar Alqawasmeh, Claudia d'Amato, Amina Annane, Amr Azzam, Andrew Berezovskyi, Russa Biswas, Mathias Bonduel, Quentin Brabant, Cristina-Iulia Bucur, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li, Sven Lieber, Pasquale Lisena, Tatiana Makhalova, Ludovica Marinucci, Thomas Minier, Benjamin Moreau, Alberto Moya Loustaunau, Durgesh Nandini, Sylwia Ozdowska, Amanda Pacini de Moura, Swati Padhee, Guillermo Palma, Pedro Del Pozo Jimnez, Valentina Presutti, Roberto Reda, Ettore Rizza, Henry Rosales-Méndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl:
Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR abs/1903.12554 (2019) - 2018
- [j2]Danilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero, Dennis E. Shasha:
SuperNoder: a tool to discover over-represented modular structures in networks. BMC Bioinform. 19(1): 318:1-318:12 (2018) - [c4]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases. WorldCIST (2) 2018: 1386-1396 - 2017
- [j1]Gianni Fenu, Pier Luigi Pau, Danilo Dessì:
Functional models and extending strategies for ecological networks. Appl. Netw. Sci. 2: 10 (2017) - [c3]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering. SeWeBMeDA@ESWC 2017: 20-34 - [c2]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos. ESWC (Satellite Events) 2017: 21-25 - 2016
- [c1]Gianni Fenu, Pier Luigi Pau, Danilo Dessì:
Modeling and Extending Ecological Networks Using Land Similarity. COMPLEX NETWORKS 2016: 709-718
Coauthor Index
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