Modeling and Extending Ecological Networks Using Land Similarity. - Gianni Fenu; Pier Luigi Pau; Danilo Dessì (COMPLEX NETWORKS, 2016)

Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (ESWC (Satellite Events), 2017)

Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering. - Danilo Dessì; Diego Reforgiato Recupero; Gianni Fenu; Sergio Consoli (SeWeBMeDA@ESWC, 2017)

Functional models and extending strategies for ecological networks. - Gianni Fenu; Pier Luigi Pau; Danilo Dessì (Appl. Netw. Sci., 2017)

COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (WorldCIST (2), 2018)

SuperNoder: a tool to discover over-represented modular structures in networks. - Danilo Dessì; Jacopo Cirrone; Diego Reforgiato Recupero; Dennis E. Shasha (BMC Bioinform., 2018)

A Flexible and Scalable Architecture for Human-Robot Interaction. - Diego Reforgiato Recupero; Danilo Dessì; Emanuele Concas (AmI, 2019)

Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. - Davide Buscaldi; Danilo Dessì; Enrico Motta; Francesco Osborne; Diego Reforgiato Recupero (DL4KG@ESWC, 2019)

Mining Scholarly Publications for Scientific Knowledge Graph Construction. - Davide Buscaldi; Danilo Dessì; Enrico Motta; Francesco Osborne; Diego Reforgiato Recupero (ESWC (Satellite Events), 2019)

Evaluating neural word embeddings created from online course reviews for sentiment analysis. - Danilo Dessì; Mauro Dragoni; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (SAC, 2019)

Parsing Natural Language Sentences into Robot Actions. - Gianluca Bardaro; Danilo Dessì; Enrico Motta; Francesco Osborne; Diego Reforgiato Recupero (ISWC (Satellites), 2019)

Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (Comput. Hum. Behav., 2019)

Linked Open Data Validity - A Technical Report from ISWS 2018. - 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; et al. (CoRR, 2019)

A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. - Danilo Dessì; Diego Reforgiato Recupero; Gianni Fenu; Sergio Consoli (Machine Learning Paradigms, 2019)

The Challenges of German Archival Document Categorization on Insufficient Labeled Data. - Fabian Hoppe 001; Tabea Tietz; Danilo Dessì; Mirjam Sprau; Mehwish Alam; Harald Sack (WHiSe@ESWC, 2020)

Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. - Sergio Consoli; Danilo Dessì; Gianni Fenu; Mirko Marras (SmartPhil@IUI, 2020)

TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. - Danilo Dessì; Rim Helaoui; Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni (SmartPhil@IUI, 2020)

AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence. - Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta; Harald Sack (ISWC (2), 2020)

Understanding Class Representations: An Intrinsic Evaluation of Zero-Shot Text Classification. - Fabian Hoppe 001; Danilo Dessì; Harald Sack (DL4KG@ISWC, 2021)

Ontology Modelling for Materials Science Experiments. - Mehwish Alam; Henk Birkholz; Danilo Dessì; Christoph Eberl; Heike Fliegl; Peter Gumbsch; Philipp von Hartrott; Lutz Mädler; Markus Niebel; Harald Sack; Akhil Thomas (SEMANTiCS (Posters & Demos), 2021)

DDB-KG: The German Bibliographic Heritage in a Knowledge Graph. - Mary Ann Tan; Tabea Tietz; Oleksandra Bruns; Jonas Oppenlaender; Danilo Dessì; Harald Sack (HistoInformatics@JCDL, 2021)

Modelling Archival Hierarchies in Practice: Key Aspects and Lessons Learned. - Mahsa Vafaie; Oleksandra Bruns; Danilo Dessì; Nastasja Pilz; Harald Sack (HistoInformatics@JCDL, 2021)

Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage. - Tabea Tietz; Oleksandra Bruns; Sandra Göller; Matthias Razum; Danilo Dessì; Harald Sack (Qurator, 2021)

ArDO: an ontology to describe the dynamics of multimedia archival records. - Oleksandra Vsesviatska; Tabea Tietz; Fabian Hoppe 001; Mirjam Sprau; Nils Meyer; Danilo Dessì; Harald Sack (SAC, 2021)

DDB-EDM to FaBiO: The Case of the German Digital Library. - Mary Ann Tan; Tabea Tietz; Oleksandra Bruns; Jonas Oppenlaender; Danilo Dessì; Harald Sack (ISWC (Posters/Demos/Industry), 2021)

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (WSDM, 2021)

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (L2D@WSDM, 2021)

HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles. - Mehwish Alam; Russa Biswas; Yiyi Chen 002; Danilo Dessì; Genet Asefa Gesese; Fabian Hoppe 001; Harald Sack (WWW (Companion Volume), 2021)

Deep Learning meets Knowledge Graphs for Scholarly Data Classification. - Fabian Hoppe 001; Danilo Dessì; Harald Sack (WWW (Companion Volume), 2021)

Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. - Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta (Future Gener. Comput. Syst., 2021)

DDB-KG v0.1. - Mary Ann Tan; Tabea Tietz; Oleksandra Bruns; Danilo Dessì; Harald Sack (Zenodo, 2021)

CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. - Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta (ISWC, 2022)

Completing Scientific Facts in Knowledge Graphs of Research Concepts. - Agustín Borrego; Danilo Dessì; Inma Hernández; Francesco Osborne; Diego Reforgiato Recupero; David Ruiz 001; Davide Buscaldi; Enrico Motta (IEEE Access, 2022)

Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. - Geoffray Bonnin; Danilo Dessì; Gianni Fenu; Martin Hlosta; Mirko Marras; Harald Sack (Future Gener. Comput. Syst., 2022)

LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories. - Danilo Dessì; Diego Reforgiato Recupero (J. Intell. Inf. Syst., 2022)

SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. - Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta (Knowl. Based Syst., 2022)

Machine-Actionable Metadata for Software and Software Management Plans for NFDI. - Olga L. Giraldo; Danilo Dessì; Stefan Dietze; Dietrich Rebholz-Schuhmann; Leyla Jael Castro (CoRDI, 2023)

Truth or Dare: Investigating Claims Truthfulness with ClaimsKG. - Susmita Gangopadhyay; Katarina Boland; Danilo Dessì; Stefan Dietze; Pavlos Fafalios; Andon Tchechmedjiev; Konstantin Todorov; Hajira Jabeen (D2R2, 2023)

DaMaLOS 2023 Editorial Note. - Leyla Jael Castro; Dietrich Rebholz-Schuhmann; Danilo Dessì; Jens Dierkes; Sonja Schimmler (DaMaLOS, 2023)

Diving into Knowledge Graphs for Patents: Open Challenges and Benefits. - Danilo Dessì; Rima Dessi (ESWC Workshops, 2023)

Research Knowledge Graphs in NFDI4DS. - Saurav Karmakar; Matthäus Zloch; Fidan Limani; Benjamin Zapilko; Sharmila Upadhyaya; Jennifer D'Souza 001; Leyla Jael Castro; Georg Rehm; Marcel R. Ackermann; Harald Sack; Zeyd Boukhers; Sonja Schimmler; et al. (GI-Jahrestagung, 2023)

A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition. - Rubén Alonso; Danilo Dessì; Antonello Meloni; Diego Reforgiato Recupero (SAC, 2023)

Investigating Characteristics, Biases and Evolution of Fact-Checked Claims on the Web. - Susmita Gangopadhyay; Sebastian Schellhammer; Salim Hafid; Danilo Dessì; Christian Koß; Konstantin Todorov; Stefan Dietze; Hajira Jabeen (HT, 2024)

Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop. - Stefani Tsaneva; Danilo Dessì; Francesco Osborne; Marta Sabou (Sci-K@ISWC, 2024)

Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. - Simone Angioni; Sergio Consoli; Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Angelo A. Salatino (SemTech4STLD@ESWC, 2024)

Automating Citation Placement with Natural Language Processing and Transformers. - Davide Buscaldi; Danilo Dessì; Enrico Motta; Marco Murgia; Francesco Osborne; Diego Reforgiato Recupero (SemTech4STLD@ESWC, 2024)

Knowledge Graphs for Digital Transformation Monitoring in Social Media. - Danilo Dessì; Gianni Fenu; Sergio Consoli; Vanni Zavarella; Francesco Osborne; Davide Buscaldi; Simone Angioni; Diego Reforgiato Recupero (TEXT2KG/DQMLKG@ESWC, 2024)

A Seamless ChatGPT Knowledge Plug-in for the Labour Market. - Rubén Alonso; Danilo Dessì; Antonello Meloni; Marco Murgia; Diego Reforgiato Recupero; Giuseppe Scarpi (IEEE Access, 2024)

A Novel Knowledge Plug-In for Incorporating Information About Employability From the O*NET Database Into Conversational Agents. - Rubén Alonso; Danilo Dessì; Antonello Meloni; Diego Reforgiato Recupero (IEEE Access, 2024)

Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. - Simone Angioni; Sergio Consoli; Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Angelo A. Salatino (IEEE Access, 2024)

Triplètoile: Extraction of Knowledge from Microblogging Text. - Vanni Zavarella; Sergio Consoli; Diego Reforgiato Recupero; Gianni Fenu; Simone Angioni; Davide Buscaldi; Danilo Dessì; Francesco Osborne (CoRR, 2024)

Citation prediction by leveraging transformers and natural language processing heuristics. - Davide Buscaldi; Danilo Dessì; Enrico Motta; Marco Murgia; Francesco Osborne; Diego Reforgiato Recupero (Inf. Process. Manag., 2024)

CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs. - Marco Murgia; Danilo Dessì; Francesco Osborne; Davide Buscaldi; Enrico Motta; Diego Reforgiato Recupero (ESWC (Satellite Events), 2025)

Research Knowledge Graphs: The Shifting Paradigm of Scholarly Information Representation. - Matthäus Zloch; Danilo Dessì; Jennifer D'Souza 001; Leyla Jael Castro; Benjamin Zapilko; Saurav Karmakar; Brigitte Mathiak; Markus Stocker; Wolfgang Otto 002; Sören Auer; Stefan Dietze (ESWC (2), 2025)

TeleScope A Longitudinal Dataset for Investigating Online Discourse and Information Interaction on Telegram. - Susmita Gangopadhyay; Danilo Dessì; Dimitar Dimitrov 002; Stefan Dietze (ICWSM, 2025)

A novel approach for job matching and skill recommendation using transformers and the O*NET database. - Rubén Alonso; Danilo Dessì; Antonello Meloni; Diego Reforgiato Recupero (Big Data Res., 2025)

Knowledge graph validation by integrating LLMs and human-in-the-loop. - Stefani Tsaneva; Danilo Dessì; Francesco Osborne; Marta Sabou (Inf. Process. Manag., 2025)

Research hypothesis generation over scientific knowledge graphs. - Agustín Borrego; Danilo Dessì; Daniel Ayala 001; Inma Hernández; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; David Ruiz 001; Enrico Motta (Knowl. Based Syst., 2025)

Hidden Entity Detection from GitHub Leveraging Large Language Models. - Lu Gan 004; Martin Blum; Danilo Dessì; Brigitte Mathiak; Ralf Schenkel; Stefan Dietze (CoRR, 2025)