Currently browsing: Items authored or edited by Angelo Salatino https://orcid.org/0000-0002-4763-3943

Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo and Secchi, Luca (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information, 15(7), article no. 398.

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Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca (2024). A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Engineering Applications of Artificial Intelligence, 133, article no. 108166.

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Balloccu, Simone; Podda, Alessandro Sebastian; Pompianu, Livio; Saia, Roberto and Salatino, Angelo Antonio (2024). HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24), July 01–04, 2024, Cagliari, Italy, ACM, New York, NY, USA.

Angioni, Simone; Consoli, Sergio; Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego and Salatino, Angelo (2024). Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access, 12 pp. 77269–77283.

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Angioni, Simone; Consoli, Sergio; Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego and Salatino, Angelo (2024). Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. In: 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTech4STLD 2024, 26 May 2024, Hersonissos.

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Lehmann, Jens; Meloni, Antonello; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo Antonio and Vahdati, Sahar (2024). Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. In: The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, Springer, Cham, 14664 pp. 199–217.

Bolanos Burgos, Francisco; Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2024). Artificial intelligence for literature reviews: opportunities and challenges. Artificial Intelligence Review, 57(9), article no. 259.

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Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Reforgiato Recupero, Diego and Motta, Enrico (2023). AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape. In: The Semantic Web – ISWC 2023 (Payne, Terry R.; Presutti, Valentina; Qi, Guilin; Poveda-Villalón, María; Stoilis, Giorgos; Hollinl, Laura; Kaoudi, Zoi; Cheng, Gong and Li, Juanzi eds.), Lecture Notes in Computer Science, 14265, Springer, Cham, pp. 400–418.

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Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca (2023). Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain. In: Deep Learning for Knowledge Graphs 2023. CEUR Workshop Proceedings Vol. 3559 (Alam, Mehwish; Buscaldi, Davide; Cochez, Michael; Osborne, Francesco and Reforgiato Recupero, Diego eds.), article no. 4.

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Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo and Secchi, Luca (2023). Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. In: Deep Learning for Knowledge Graphs 2023 (Alam, Mehwish; Buscaldi, Davide; Cochez, Michael; Osborne, Francesco and Recupero, Diego Reforgiato eds.), 6 Nov 2023, Athens, CEUR.

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Chessa, Alessandro; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca (2023). Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access, 11 pp. 67567–67599.

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Salatino, Angelo Antonio; Bu, Yi; Ding, Ying; Horvát, Ágnes; Huang, Yong; Liu, Meijun; Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Romero, Daniel; Sacharidis, Dimitris; Teplitskiy, Misha; Vergoulis, Thanasis; Xia, Feng and Zhai, Yujia (2023). 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). In: Companion Proceedings of the ACM Web Conference 2023, ACM, New York, NY, USA p. 783.

Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico (2023). Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE Access, 11 pp. 22468–22489.

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Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Sacharidis, Dimitris; Salatino, Angelo and Vergoulis, Thanasis (2022). Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. In: Companion Proceedings of the Web Conference 2022, pp. 735–738.

Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico (2022). The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences. IEEE Access, 10 pp. 39471–39486.

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Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Recupero, Diego Reforgiato and Motta, Enrico (2022). AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry. Quantitative Science Studies, 2(4) pp. 1356–1398.

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Chessa, Alessandro; Fenu, Gianni; Motta, Enrico; Reforgiato Recupero, Diego; Osborne, Francesco; Salatino, Angelo and Secchi, Luca (2022). Enriching Data Lakes with Knowledge Graphs. In: 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022, 30 May 2022, Hersonissos, Crete; Greece.

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Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Recupero, Diego Reforgiato and Motta, Enrico (2022). Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. In: The Semantic Web – ISWC 2022 (Sattler, Ulrike; Hogan, Aidan; Keet, Maria; Presutti, Valentina; Almeida, João Paulo A.; Takeda, Hideaki; Monnin, Pierre; Pirrò, Giuseppe and d'Amato, Claudia eds.), Lecture Notes in Computer Science, Springer, Cham, pp. 735–752.

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Aggarwal, Tanay; Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2022). R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary. Software Impacts, 14, article no. 100444.

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Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico (2021). AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. In: 2021 International Semantic Web Conference Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, CEUR WS.

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Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Recupero, Diego Reforgiato and Motta, Enrico (2021). Assessing Scientific Conferences through Knowledge Graphs. In: International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks, 2980.

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Nayyeri, Mojtaba; Müge Cil, Gökce; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo; Reforgiato Recupero, Diego; Motta, Enrico and Lehmann, Jens (2021). Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access, 9 pp. 116002–116014.

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Salatino, Angelo A.; Mannocci, Andrea and Osborne, Francesco (2021). Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs. In: Manolopoulos, Yannis and Vergoulis, Thanasis eds. Prediction Dynamics of Research Impact. Springer, pp. 225–252.

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Nayyeri, Mojtaba; Cil, Gokce Muge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico and Lehmann, Jens (2021). Trans4E: Link Prediction on Scholarly Knowledge Graphs. Neurocomputing, 461 pp. 530–542.

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Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2021). CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics. International Journal on Digital Libraries, 23 pp. 91–110.

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Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Sacharidis, Dimitris; Salatino, Angelo and Vergoulis, Thanasis (2021). New Trends in Scientific Knowledge Graphs and Research Impact Assessment. Quantitative Science Studies, 2(4) pp. 1296–1300.

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Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico (2020). The AIDA Dashboard: Analysing Conferences with Semantic Technologies. In: 19th International Semantic Web Conference (ISWC 2020), 2-6 Nov 2020, Athens (Greece) - Virtual.

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Salatino, Angelo; Thanapalasingam, Thiviyan; Mannocci, Andrea; Birukou, Aliaksandr; Osborne, Francesco and Motta, Enrico (2020). The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas. Data Intelligence, 2(3) pp. 379–416.

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Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico (2020). Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. In: 1st​ Workshop on Scientific Knowledge Graphs, 25 Aug 2020, Lyon, France.

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Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2020). ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. In: Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (Keet, C. Maria and Dumontier, Michel eds.), Lecture Notes in Computer Science vol 12387, Springer, pp. 219–236.

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Bellatreche, Ladjel; Bentayeb, Fadila; Bieliková, Mária; Boussaid, Omar; Catania, Barbara; Ceravolo, Paolo; Demidova, Elena; Halfeld Ferrari, Mirian; Gomez Lopez, Maria Teresa; S. Hara, Carmem; Kordić, Slavica; Luković, Ivan; Mannocci, Andrea; Manghi, Paolo; Osborne, Francesco; Papatheodorou, Christos; Ristić, Sonja; Sacharidis, Dimitris; Romero, Oscar; Salatino, Angelo; Talens, Guilaine; van Keulen, Maurice; Vergoulis, Thanasis and Zumer, Maja (2020). Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium. In: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, Communications in Computer and Information Science book series (CCIS), pp. 3–20.

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Salatino, Angelo; Osborne, Francesco and Motta, Enrico (2020). Ontology Extraction and Usage in the Scholarly Knowledge Domain. In: Cota, Giuseppe; Daquino, Marilena and Pozzato, Gian Luca eds. Applications and Practices in Ontology Design, Extraction, and Reasoning. Studies on the Semantic Web. IOS Press, pp. 91–106.

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Salatino, Angelo (2019). Early Detection of Research Trends. PhD thesis The Open University.

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Salatino, Angelo; Osborne, Francesco; Thanapalasingam, Thiviyan and Motta, Enrico (2019). The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. In: TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Lecture Notes in Computer Science, Springer, pp. 296–311.

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Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico (2019). Improving Editorial Workflow and Metadata Quality at Springer Nature. In: ISWC 2019: The Semantic Web – ISWC 2019, Springer, 11779 pp. 507–525.

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Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico (2019). Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS.

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Angioni, Simone; Osborne, Francesco; Salatino, Angelo; Reforgiato Recupero, Diego and Motta, Enrico (2019). Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS.

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Salatino, Angelo; Thanapalasingam, Thiviyan; Mannocci, Andrea; Osborne, Francesco and Motta, Enrico (2018). Classifying Research Papers with the Computer Science Ontology. In: ISWC 2018 Posters & Demonstrations and Industry Tracks (van Erp, Marieke ed.).

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Salatino, Angelo A.; Thanapalasingam, Thiviyan; Mannocci, Andrea; Osborne, Francesco and Motta, Enrico (2018). The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas. In: ISWC 2018: The Semantic Web (Proceedings, Part II) (VrandeÄ�ić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Springer, pp. 187–205.

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Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico (2018). AUGUR: Forecasting the Emergence of New Research Topics. In: JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, ACM, New York, NY, USA pp. 303–312.

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Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico (2017). How are topics born? Understanding the research dynamics preceding the emergence of new areas. PeerJ Computer Science(3) e119.

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Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr; Thanapalasingam, Thiviyan and Motta, Enrico (2017). Supporting Springer Nature Editors by means of Semantic Technologies. In: International Semantic Web Conference (ISWC) 2017, 21-25 Oct 2017, Vienna, Austria.

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Osborne, Francesco; Thanapalasingam, Thiviyan; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico (2017). Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products. In: International Semantic Web Conference (ISWC) 2017, 21-25 Oct 2017, Vienna, Austria.

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Mannocci, Andrea; Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico (2017). 2100 AI: Reflections on the mechanisation of scientific discovery. In: Recoding Black Mirror @ ISWC '17, 21-25 Oct 2017, Wien, Austria.

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Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico (2016). Automatic Classification of Springer Nature Proceedings with Smart Topic Miner. In: The 15th International Semantic Web Conference, 17-21 Oct 2016, Kobe, Japan.

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Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico (2016). Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies. In: International Semantic Web Conference (ISWC 2016), 17-21 Oct 2016, Kobe, Japan.

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Cano Basave, Amparo; Osborne, Francesco and Salatino, Angelo (2016). Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors. In: Knowledge Engineering and Knowledge Management, Lecture Notes in Computer Science, pp. 51–67.

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Cano Basave, Amparo; Osborne, Francesco and Salatino, Angelo (2016). Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna, Italy.

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Salatino, Angelo (2015). Early Detection and Forecasting of Research Trends. In: 14th International Semantic Web Conference, 11-15 Oct 2015, Bethlehem (PA), USA.

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