Rexplore

Exploring Research Data

Rexplore leverages novel solutions in large-scale data mining, semantic technologies and visual analytics, to provide an innovative environment for exploring and making sense of scholarly data. In particular, Rexplore allows users:

To detect and make sense of important trends in research, such as, significant migrations of researchers from one area to another, the emergence of new topics, the evolution of communities within a particular area, and several others.

To identify a...

Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Vahdati, S. (2024) Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark, ESWC 2024, Hersonissos, Greece

Meloni, A., Angioni, S., Salatino, A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2023) AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape The Semantic Web - ISWC 2023, eds. Terry R., et al Payne, 14265, Springer Cham

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2023) Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models, Deep Learning for Knowledge Graphs 2023, Athens

Buscaldi, D., Dessí, D., Motta, E., Murgia, M., Osborne, F. and Recupero, D. (2023) Citation prediction by leveraging transformers and natural language processing heuristics, Information Processing & Management, 61, Elsevier

Chessa, A., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Secchi, L. (2023) Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain, IEEE Access, 11, pp. 67567-67599, Institute of Electrical and Electronics Engineers (IEEE)

Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2023) Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain, IEEE Access, 11, pp. 22468-22489, Institute of Electrical and Electronics Engineers (IEEE)

Peng, C., Xia, F., Naseriparsa, M. and Osborne, F. (2023) Knowledge Graphs: Opportunities and Challenges, Artificial Intelligence Review, 56, pp. 13071-13102

Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China

Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science, ISWC, Online

Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain, Knowledge-Based Systems, Elsevier

Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, WWW '22: The ACM Web Conference 2022, Lyon, France (Virtual)

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry, Quantitative Science Studies, pp. (In Press)

Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) New Trends in Scientific Knowledge Graphs and Research Impact Assessment, Quantitative Science Studies, pp. 1-5, MIT Press - Journals

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences, IEEE Access, pp. (In press)

Alam, M., Buscaldi, D., Cochez, M., Osborne, F., Recupero, D. and Sack, H. (2022) Editorial of the Special Issue on Deep Learning and Knowledge Graphs, Semantic Web Journal, 13, pp. 293-297, IOS Press

Chessa, A., Fenu, G., Motta, E., Recupero, D., Osborne, F., Salatino, A.A. and Secchi, L. (2022) Enriching Data Lakes with Knowledge Graphs, Knowledge Graph Generation from Text Workshop, Creete, Greece

Aggarwal, T., Salatino, A.A., Osborne, F. and Motta, E. (2022) R-classify: Extracting research papers' relevant concepts from a controlled vocabulary, Software Impacts, 14

Borrego, A., Dessi, D., Hernandez, I., Osborne, F., Recupero, D., Ruiz, D., Buscaldi, D. and Motta, E. (2022) Completing Scientific Facts in Knowledge Graphs of Research Concepts, IEEE Access, pp. (Early Access), Institute of Electrical and Electronics Engineers (IEEE)

Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2021) AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs, The International Semantic Web Conference, Online

Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2021) Assessing Scientific Conferences through Knowledge Graphs, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, Virtual, Online

Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Kravchenko, A., Angioni, S., Salatino, A.A., Recupero, D., Motta, E. and Lehmann, J. (2021) Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain, IEEE Access, 9, pp. 116002-116014

Salatino, A.A., Osborne, F. and Motta, E. (2021) CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics, International Journal on Digital Libraries, pp. (Early Access)

Danilo, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (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

Salatino, A.A., Mannocci, A. and Osborne, F. (2021) Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs Prediction Dynamics of Research Impact, eds. Yannis Manolopoulos,Thanasis Vergoulis, Springer (In press)

Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Rahman, M., Angioni, S., Salatino, A.A., Recupero, D., Vassilyeva, N., Motta, E. and Lehmann, J. (2021) Trans4E: Link Prediction on Scholarly Knowledge Graphs, Neurocomputing, pp. (Early Access)

Dessi', D., Osborne, F., Recupero, D., Buscaldi, D., Motta, E. and Sack, H. (2020) AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence, International Semantic Web Conference 2020, Online

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual

Salatino, A.A., Osborne, F. and Motta, E. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano (Italy) (Online)

Bellatreche, L., Bentayeb, F., Bieliková, M., Boussaid, O., Catania, B., Ceravolo, P., Demidova, E., Ferrari, M., Lopez, M., Hara, C., Kordić, S., Luković, I., Mannocci, A., Manghi, P., Osborne, F., Papatheodorou, C., Ristić, S., Sacharidis, D., Romero, O., Salatino, A.A., Talens, G., Keulen, M., Vergoulis, T. and Zumer, M. (2020) Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium, ADBIS, TPDL and EDA 2020, Lyon, France

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F. and Motta, E. (2020) The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas, Data Intelligence, 2, 2, pp. 379-416

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France

Salatino, A.A., Osborne, F. and Motta, E. (2020) Ontology Extraction and Usage in the Scholarly Knowledge Domain Applications and Practices in Ontology Design, Extraction, and Reasoning, eds. Giuseppe Cota,Marilena Daquino,Gian Luca Pozzato, IOS Press

Alam, M., Buscaldi, D., Cochez, M., Osborne, F., Recupero, D. and Sack, H. (2020) Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020) Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), eds. Mehwish Alam,Davide Buscaldi,Michael Cochez,Francesco Osborne,Diego Reforgiato Recupero,Harald Sack, 2635, CEUR-WS.org

Kirrane, S., Sabou, M., Fernandez, J., Osborne, F., Robin, C., Buitelaar, P., Motta, E. and Polleres, A. (2020) A decade of Semantic Web research through the lenses of a mixed methods approach A decade of Semantic Web research through the lenses of a mixed methods approach, 11

Gonzalez-Beltran, A., Osborne, F., Peroni, S. and Vahdati, S. (2019) Special Issue: Scholarly Data Analysis (Semantics, Analytics, Visualisation) Special Issue: Scholarly Data Analysis (Semantics, Analytics, Visualisation), eds. Alejandra Gonzalez-Beltran,Francesco Osborne,Silvio Peroni,Sahar Vahdati, 2, IOS Press

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Angioni, S., Osborne, F., Salatino, A.A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Salatino, A.A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway

Mannocci, A., Osborne, F. and Motta, E. (2019) Geographical trends in academic conferences: An analysis of authors' affiliations, Data Science Special Issue about Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination, pp. (Early Access), IOS Press

Buscaldi, D., Dessì, D., Motta, E., Osborne, F. and Recupero, D. (2019) Mining Scholarly Publications for Scientific Knowledge Graph Construction, Extended Semantic Web Conference 2019, Portoroz, Slovenia

Osborne, F. and Hollink, L. (eds.) (2019) Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), Nancy, France, November 13, 2018., eds. Laura Hollink,Francesco Osborne, 2306, CEUR

Mannocci, A., Osborne, F. and Motta, E. (2019) The Evolution of IJHCS and CHI: A Quantitative Analysis, International Journal of Human-Computer Studies, pp. (In Press)

Buscaldi, D., Dessì, D., Motta, E., Osborne, F. and Recupero, D. (2019) Mining Scholarly Data for Fine-Grained Knowledge Graph Construction, Workshop on Deep Learning for Knowledge Graphs (DL4KG2019), Portoroz, Slovenia