Currently browsing: Scholarly Knowledge: Modelling, Mining, and Sense Making (SKM3)

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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.

Alam, Mehwish; Buscaldi, Davide; Cochez, Michael; Osborne, Francesco; Reforgiato Recupero, Diego and Sack, Harald (2022). Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web, 13(3) pp. 293–297.

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.

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.

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.

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.

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.

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.

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.

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.

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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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.

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.

Bongini, Paola; Osborne, Francesco; Pedrazzoli, Alessia and Rossolini, Monica (2022). A topic modelling analysis of white papers in security token offerings: Which topic matters for funding? Technological Forecasting and Social Change, 184, article no. 122005.

Borrego, Agustin; Dessi, Danilo; Hernandez, Inma; Osborne, Francesco; Recupero, Diego Reforgiato; Ruiz, David; Buscaldi, Davide and Motta, Enrico (2022). Completing Scientific Facts in Knowledge Graphs of Research Concepts. IEEE Access, 10 pp. 125867–125880.

Buscaldi, D.; Dessi, D.; Motta, E.; Murgia, M.; Osborne, F. and Recupero, D. R. (2024). Automating Citation Placement with Natural Language Processing and Transformers. In: 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTech4STLD 2024, 26 May 2024, Hersonissos; Greece.

Buscaldi, Davide; Dessí, Danilo; Motta, Enrico; Murgia, Marco; Osborne, Francesco and Reforgiato Recupero, Diego (2023). Citation prediction by leveraging transformers and natural language processing heuristics. Information Processing & Management, 61(1), article no. 103583.

Buscaldi, Davide; Dessì, Danilo; Motta, Enrico; Osborne, Francesco and Reforgiato Recupero, Diego (2019). Mining Scholarly Publications for Scientific Knowledge Graph Construction. In: Extended Semantic Web Conference 2019, 2-6 Jun 2019, Portoroz, Slovenia.

Buscaldi, Davide; Dessì, Danilo; Motta, Enrico; Osborne, Francesco and Reforgiato Recupero, Diego (2019). Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019), pp. 21–30.

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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 (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information, 15(7), article no. 398.

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.

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.

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.

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.

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.

Carmagnola, Francesca; Osborne, Francesco and Torre, Ilaria (2014). Escaping the Big Brother: an empirical study on factors influencing identification and information leakage on the Web. Journal of Information Science, 40(2) pp. 180–197.

Carmagnola, Francesca; Osborne, Francesco and Torre, Ilaria (2014). User data discovery and aggregation: the CS-UDD algorithm. Information Sciences, 270(20) pp. 41–72.

Carmagnola, Francesca; Osborne, Francesco and Torre, Ilaria (2010). User data distributed on the social web: how to identify users on different social systems and collecting data about them. In: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, pp. 9–15.

Cena, Federica; Likavec, Silvia and Osborne, Francesco (2013). Anisotropic propagation of user interests in ontology-based user models. Information Sciences, 250 pp. 40–60.

Cena, Federica; Likavec, Silvia and Osborne, Francesco (2011). Propagating user interests in ontology-based user model. In: AI*IA 2011: Artificial Intelligence Around Man and Beyond: XIIth International Conference of the Italian Association for Artificial Intelligence, Palermo, Italy, September 15-17, 2011. Proceedings, Lecture Notes in Computer Science, Springer, pp. 299–311.

Cena, Frederica; Likavec, Silvia and Osborne, Francesco (2012). Property-based interest propagation in ontology-based user model. In: User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012. Proceedings, Lecture Notes in Computer Science, Springer, pp. 38–50.

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.

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.

Chiabrando, Elisa; Furnari, Roberto; Likavec, Silvia; Osborne, Francesco; Picardi, Claudia and Dupré, Daniele Theseider (2014). TellEat: sharing experiences on the move. In: Human-Computer Interaction. Applications and Services, Lecture Notes in Computer Science, Springer International Publishing, pp. 377–388.

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De Leo, Vincenzo; Fenu, Gianni; Greco, David; Bidotti, Nicolò; Platter, Paolo; Motta, Enrico; Nuzzolese, Andrea Giovanni; Osborne, Francesco and Recupero, Diego Reforgiato (2023). Ontology-Based Generation of Data Platform Assets. In: 2023 IEEE International Conference on Big Data (BigData), IEEE pp. 2937–2941.

de Ribaupierre, Hélène; Osborne, Francesco and Motta, Enrico (2016). Combining NLP and Semantics for Mining Software Technologies from Research Publications. In: WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web, International World Wide Web Conferences Steering Committee, pp. 23–24.

Dessí, Danilo; Osborne, Francesco; Recupero, Diego Reforgiato; Buscaldi, Davide and Motta, Enrico (2022). SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. Knowledge-Based Systems, 258, article no. 109945.

Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego; Buscaldi, Davide and Motta, Enrico (2021). Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Generation Computer Systems, 116 pp. 253–264.

Dessí, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego; Buscaldi, Davide and Motta, Enrico (2022). CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. In: The Semantic Web – ISWC 2022. Lecture Notes in Computer Science, Springer, Cham, 13489 pp. 678–696.

Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego; Buscaldi, Davide; Motta, Enrico and Sack, Harald (2020). AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence. In: The Semantic Web – ISWC 2020 (Pan, J.Z.; Tamma, V.; d’Amato, C.; Janowicz, K.; Fu, B.; Polleres, A.; Seneviratne, O. and Kagal, L. eds.), Springer, pp. 127–143.

Di Iorio, Angelo; Gonzalez-Beltran, Alejandra; Osborne, Francesco; Peroni, Silvio; Poggi, Francesco and Vitali, Fabio (2016). It ROCS! The RASH Online Conversion Service. In: WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 25–26.

Di Iorio, Angelo; Nuzzolese, Andrea Giovanni; Osborne, Francesco; Peroni, Silvio; Poggi, Francesco; Smith, Michael; Vitali, Fabio and Zhao, Jun (2015). The RASH Framework: enabling HTML+RDF submissions in scholarly venues. In: 14th International Semantic Web Conferences (ISWC 2015), 11-15 Oct 2015, Bethlehem, PA.

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Gonzalez-Beltran, Alejandra; Osborne, Francesco; Peroni, Silvio and Vahdati, Sahar (2017). SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data. In: WWW '17 Companion - Proceedings of the 26th International Conference on World Wide Web Companion, 3-7 Apr 2017, Perth, Australia, ACM Press.

Gonzalez-Beltran, Alejandra; Osborne, Francesco; Peroni, Silvio and Vahdati, Sahar (2019). Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation). Data Science, 2(1-2) pp. 177–179.

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Kirrane, Sabrina; Sabou, Marta; Fernández, Javier; Osborne, Francesco; Robin, Cécile; Buitelaar, Paul; Motta, Enrico and Polleres, Axel (2020). A decade of Semantic Web research through the lenses of a mixed methods approach. Semantic Web Journal, 11(6)

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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.

Likavec, Silvia; Osborne, Francesco and Cena, Federica (2015). Property-based Semantic Similarity and Relatedness for Improving Recommendation Accuracy and Diversity. International Journal on Semantic Web and Information Systems, 11(4) pp. 1–40.

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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.

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.

Mannocci, Andrea; Osborne, Francesco and Motta, Enrico (2019). Geographical trends in academic conferences: An analysis of authors’ affiliations. Data Science, 2(1-2) pp. 181–203.

Mannocci, Andrea; Osborne, Francesco and Motta, Enrico (2019). The Evolution of IJHCS and CHI: A Quantitative Analysis. International Journal of Human-Computer Studies, 131 pp. 23–40.

Mannocci, Andrea; Osborne, Francesco and Motta, Enrico (2018). Geographical trends in research: a preliminary analysis on authors' affiliations. In: SAVE-SD - International Workshop on Semantic, Analytics, Visualisation Revised Selected Papers (González-Beltrán, Alejandra; Osborne, Francesco; Peroni, Silvio and Vahdati, Sahar eds.), Springer, Cham(10959) pp. 61–77.

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.

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.

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.

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.

Motta, Enrico and Osborne, Francesco (2012). Making sense of research with Rexplore. In: International Semantic Web Conference (ISWC 2012), 11-15 Nov 2012, Boston, USA.

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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.

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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Osborne, Francesco (2011). A new approach to social behavior simulation: the mask model. In: Interactive Storytelling, Lecture Notes in Computer Science, Springer, pp. 97–108.

Osborne, Francesco; de Ribaupierre, Helene and Motta, Enrico (2016). TechMiner: Extracting Technologies from Academic Publications. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna, Italy.

Osborne, Francesco; Likavec, Silvia and Cena, Federica (2013). Granular semantic user similarity in the presence of sparse data. In: AI*IA 2013: Advances in Artificial Intelligence: XIIIth International Conference of the Italian Association for Artificial Intelligence, Turin, Italy, December 4-6, 2013. Proceedings, Lecture Notes in Computer Science, Springer International Publishing, pp. 385–396.

Osborne, Francesco; Mannocci, Andrea and Motta, Enrico (2017). Forecasting Technology Migrations by means of the Technology-Topic Framework. In: International Semantic Web Conference (ISWC) 2017, 21-25 Oct 2017, Vienna, Austria.

Osborne, Francesco; Mannocci, Andrea and Motta, Enrico (2017). Forecasting the Spreading of Technologies in Research Communities. In: Proceedings of the Knowledge Capture Conference on - K-CAP 2017, ACM, New York, article no. 1.

Osborne, Francesco and Motta, Enrico (2012). Mining semantic relations between research areas. In: The Semantic Web – ISWC 2012: 11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012, Proceedings, Part I, Lecture Notes in Computer Science, pp. 410–426.

Osborne, Francesco and Motta, Enrico (2013). Exploring research trends with Rexplore. D-Lib Magazine, 19(9/10)

Osborne, Francesco and Motta, Enrico (2014). Understanding research dynamics. In: Semantic Publishing Challenge.

Osborne, Francesco and Motta, Enrico (2014). Rexplore: unveiling the dynamics of scholarly data. In: Digital Libraries 2014, 8-12 Sep 2014, London, UK.

Osborne, Francesco and Motta, Enrico (2014). Inferring semantic relations by user feedback. In: Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW2014,Linköping, Sweden, November 24-28, 2014, Proceedings, Lecture Notes in Computer Science, pp. 339–255.

Osborne, Francesco and Motta, Enrico (2015). Klink-2: integrating multiple web sources to generate semantic topic networks. In: The Semantic Web - ISWC 2015 (Part 1), Lecture Notes in Computer Science, Springer International Publishing, Cham, pp. 408–424.

Osborne, Francesco and Motta, Enrico (2018). Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance. In: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I (Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Springer, Cham, 11136 pp. 495–512.

Osborne, Francesco; Motta, Enrico and Mulholland, Paul (2013). Exploring scholarly data with Rexplore. In: International Semantic Web Conference (ISWC 2013), 21-25 Oct 2013, Sydney, Australia, Springer, pp. 460–477.

Osborne, Francesco; Muccini, Henry; Lago, Patricia and Motta, Enrico (2019). Reducing the effort for systematic reviews in software engineering. Data Science, 2(1-2) pp. 311–340.

Osborne, Francesco; Peroni, Silvio and Motta, Enrico (2014). Clustering citation distributions for semantic categorization and citation prediction. In: I4th Workshop on Linked Science 2014— Making Sense Out of Data (LISC2014), 19-23 Oct 2014, Riva Del Garda, Trentino, Italy (Forthcoming).

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.

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.

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.

Osborne, Francesco; Scavo, Beppe and Motta, Enrico (2014). Identifying diachronic topic-based research communities by clustering shared research trajectories. In: Extended Semantic Web Conference 2014 (ESWC 2014) - Research Track, pp. 114–129.

Osborne, Francesco; Scavo, Giuseppe and Motta, Enrico (2014). A hybrid semantic approach to building dynamic maps of research communities. In: Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014, Proceedings, Springer International Publishing, pp. 356–372.

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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Peng, Ciyuan; Xia, Feng; Naseriparsa, Mehdi and Osborne, Francesco (2023). Knowledge Graphs: Opportunities and Challenges. Artificial Intelligence Review, 56(11) pp. 13071–13102.

Peroni, Silvio; Osborne, Francesco; Di Iorio, Angelo; Nuzzolese, Andrea Giovanni; Poggi, Francesco; Vitali, Fabio and Motta, Enrico (2017). Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles. PeerJ Computer Science, 3, article no. e132.

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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.

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

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.

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.

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.

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.

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.

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.

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.

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.).

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.

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.

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.

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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Thanapalasingam, Thiviyan; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico (2018). The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products. In: International Semantic Web Conference (ISWC) 2018, 08-12 Oct 2018, Monterey, California, United States.

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