Scholarly Knowledge Mining

Scholarly Knowledge Mining

In our research on Scholarly Analytics we are developing innovative approaches to generate value out of scholarly data by leveraging a number of different technologies, such as large-scale data mining, semantic technologies, machine learning, and visual analytics .

We are currently pursuing a number of research lines, including (but not limited to):

We collaborate with major publishers and universities to generate scalable applications, such as search engines, recommender systems, and analytics tools. In particular, we are currently working closely with Springer Nature in the development of a number of semantically-enhanced solutions, such as Smart Topic Miner, a web application that supports editors in classifying books with relevant metadata, and the Smart Book Recommender, a system that assists editors in deciding which products should be marketed at scientific venues.

More details about our research on Scholarly Analytics can be found at http://skm.kmi.open.ac.uk.

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Team

Tanay Aggarwals PhotoTanay Aggarwal
PhD Student
Simone  Angionis PhotoSimone Angioni
Visiting Student
Francisco Bolanos Burgoss PhotoFrancisco Bolanos Burgos
PhD Research Student
Enrico Mottas PhotoEnrico Motta
Professor of Knowledge Technologies
Francesco Osbornes PhotoFrancesco Osborne
Research Fellow
Alessia Pisus PhotoAlessia Pisu
Visiting Research Student
Angelo Salatinos PhotoAngelo Salatino
Research Associate

News

Michael McCoubrey joins the SKM team

Michael McCoubrey joins the SKM team

On 1 October 2024, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Michael McCoubrey, who is starting his part-time doctoral research under the supervision of Dr Angelo Salatino, Dr...

Report on the Computer Science Ontology and CSO Classifier Impact

Report on the Computer Science Ontology and CSO Classifier Impact

Abstract Since their release, both the Computer Science Ontology and the CSO Classifier have received growing attention. They are being employed within several applications and proved to effectively...

KMi shines at SEMANTiCS 2024 conference

KMi shines at SEMANTiCS 2024 conference

KMi is delighted to showcase its influential participation at SEMANTiCS 2024. Dr. Angelo Salatino and Dr. Francesco Osborne were actively involved in organizing the conference, a process that...

The AIDA Dashboard featured in the OpenAlex Keynote

The AIDA Dashboard featured in the OpenAlex Keynote

On 12th September, the LISBibliometrics conference, an established gathering for Bibliometrics and Scientometrics practitioners, was held at the University of Brighton. The theme “Exploring...

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Exciting news! Our new survey paper about AI tools for literature reviews was published by Artificial Intelligence Review. The paper presents a comprehensive review of the use of Artificial...

Empowering Innovation: Highlights from GenAI & Amazon Bedrock Immersion Day

Empowering Innovation: Highlights from GenAI & Amazon Bedrock Immersion Day

The field of Artificial Intelligence is rapidly evolving, and to stay ahead of the curve on June 11th Dr. Salatino organized the GenAI & Amazon Bedrock Immersion Day at KMi. This one-day...

SKM3 at ESWC 2024

SKM3 at ESWC 2024

Dr. Angelo Salatino, Dr. Francesco Osborne, and Prof. Motta recently participated the 2024 edition of the Extended Semantic Web Conference (ESWC), where they showcased their significant...

AI for the Research Ecosystem workshop #AI4RE – round up

AI for the Research Ecosystem workshop #AI4RE – round up

On March 22, 2024, the AI for the Research Ecosystem workshop (#AI4RE) took place in London, kindly hosted by UCL in the wonderful surroundings of Chandler House. The workshop was part of the Turing...

SKM3 at ISWC 2023

SKM3 at ISWC 2023

The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from...

Publications

2024

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


2023

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


2022

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)


2021

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)


2020

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


2019

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


Osborne, F., Muccini, H., Lago, P. and Motta, E. (2019) Reducing the Effort for Systematic Reviews in Software Engineering, Data Science, pp. (In Press)


Alam, M., Buscaldi, D., Cochez, M., Osborne, F., Recupero, D. and Sack, H. (eds.) (2019) DL4KG2019 - Workshop on Deep Learning for Knowledge Graphs DL4KG2019 - Workshop on Deep Learning for Knowledge Graphs, CEUR Workshop Proceedings (CEUR-WS.org)


2018

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Osborne, F. and Motta, E. (2018) Classifying Research Papers with the Computer Science Ontology, Poster at International Semantic Web Conference, Posters & Demonstrations and Industry Tracks, MONTEREY, CALIFORNIA, USA


Thanapalasingam, T., Osborne, F., Birukou, A. and Motta, E. (2018) Ontology-Based Recommendation of Editorial Products, The International Semantic Web Conference 2018, Monterey, California, USA


Osborne, F. and Motta, E. (2018) Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance, International Semantic Web Conference 2018, Monterey, California, USA


Salatino, A.A., Thanapalasingam, T., Mannocci, A., Osborne, F. and Motta, E. (2018) The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas, The International Semantic Web Conference 2018, Monterey, California, USA


Thanapalasingam, T., Osborne, F., Birukou, A. and Motta, E. (2018) The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products, Demo at International Semantic Web Conference 2018, Monterey, California, USA


Salatino, A.A., Osborne, F. and Motta, E. (2018) AUGUR: Forecasting the Emergence of New Research Topics, Joint Conference on Digital Libraries 2018, Fort Worth, Texas


Mannocci, A., Osborne, F. and Motta, E. (2018) Geographical trends in research: a preliminary analysis on authors' affiliations, Workshop: SAVE-SD at The Web Conference, Lyon


Beltrán, A., Osborne, F., Peroni, S. and Vahdati, S. (2018) Semantics, Analytics, Visualization - 3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers., eds. Alejandra González Beltrán,Francesco Osborne,Silvio Peroni,Sahar Vahdati, 10959, Springer


Mannocci, A., Osborne, F. and Motta, E. (2018) Geographical Trends in Research Conferences: closed clubs or open houses?, European Symposium on Societal Challenges in Computational Social Science., Cologne, Germany


2017

Osborne, F., Mannocci, A. and Motta, E. (2017) Forecasting the Spreading of Technologies in Research Communities, K-CAP 2017, Austin, Texas, USA


Salatino, A.A., Osborne, F. and Motta, E. (2017) How are topics born? Understanding the research dynamics preceding the emergence of new areas, PeerJ Computer Science


Osborne, F., Salatino, A.A., Birukou, A., Thanapalasingam, T. and Motta, E. (2017) Supporting Springer Nature Editors by means of Semantic Technologies, International Semantic Web Conference 2017 (Industry Track)


Osborne, F., Thanapalasingam, T., Salatino, A.A., Birukou, A. and Motta, E. (2017) Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products, Poster at International Semantic Web Conference 2017


Osborne, F., Mannocci, A. and Motta, E. (2017) Forecasting Technology Migrations with the Technology-Topic Framework, Poster at International Semantic Web Conference 2017


Gonzalez-Beltran, A., Osborne, F. and Peroni, S. (eds.) (2017) Semantics, Analytics, Visualization. Enhancing Scholarly Data: Second International Workshop, SAVE-SD 2016, Montreal, QC, Canada, April 11, 2016, Revised Selected Papers Semantics, Analytics, Visualization. Enhancing Scholarly Data., eds. Springer Nature.


2016

Basave, A., Osborne, F. and Salatino, A.A. (2016) Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016)


Osborne, F., de Ribaupierre, H. and Motta, E. (2016) TechMiner: Extracting Technologies from Academic Publications, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Bologna, Italy


Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Automatic Classification of Springer Nature Proceedings with Smart Topic Miner, 15th International Semantic Web Conference, Kobe, Japan


Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies, Demo at International Semantic Web Conference 2016, Kobe, Japan


Salatino, A.A. and Motta, E. (2016) Detection of Embryonic Research Topics by Analysing Semantic Topic Networks, Workshop: 2016 WORKSHOP ON "SEMANTICS, ANALYTICS AND VISUALISATION: ENHANCING SCHOLARLY DATA" at 25th International World Wide Web Conference (WWW 2016), Montreal, Quebec (CA), Springer


de Ribaupierre, H., Osborne, F. and Motta, E. (2016) Combining NLP and semantics for mining software technologies from research publications, Poster at World Wide Web 2016


2015

Salatino, A.A. (2015) Early Detection and Forecasting of Research Trends, Workshop: Doctoral Consortium at The 14th International Semantic Web Conference (ISWC), Bethlehem (PA)


Osborne, F. and Motta, E. (2015) Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks, International Semantic Web Conference 2015, Bethlehem, Pennsylvania


2014

Osborne, F., Scavo, G. and Motta, E. (2014) Identifying diachronic topic-based research communities by clustering shared research trajectories, Extended Semantic Web Conference 2014, Crete, Greece


Osborne, F. and Motta, E. (2014) Understanding research dynamics, Extended Semantic Web Conference 2014, Limenas Hersonissou, Crete.


Osborne, F., Peroni, S. and Motta, E. (2014) Clustering Citation Distributions for Semantic Categorization and Citation Prediction, Workshop: LISC 2014 at International Semantic Web Conference 2014, Riva Del Garda, Italy


Osborne, F. and Motta, E. (2014) Rexplore: Unveiling the Dynamics of Scholarly Data, Digital Library 2014, London, UK


Osborne, F., Scavo, G. and Motta, E. (2014) A Hybrid Semantic Approach to Building Dynamic Maps of Research Communities, EKAW 2014, Linkoping, Sweden


2013

Osborne, F., Motta, E. and Mulholland, P. (2013) Exploring Scholarly Data with Rexplore, International Semantic Web Conference, Sydney, Australia


Osborne, F. and Motta, E. (2013) Exploring Research Trends with Rexplore, Workshop: 2nd International Workshop on mining scientific publications at Joint Conference on Digital Libraries 2013


2012

Osborne, F. and Motta, E. (2012) Mining Semantic Relations between Research Areas, International Semantic Web Conference, Boston, MA


Motta, E. and Osborne, F. (2012) Making Sense of Research with Rexplore, Demo at International Semantic Web Conference, Boston, MA