Research

Contributions to conferences

2023 – Co-chair of the International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K) at TheWebConf 2023.
2023 – Co-chair of the International Workshop on Knowledge Graph Generation from Text (Text2KG) at ESWC 2023
2023 – Co-chair of the International Workshop on Semantic Technologies for Scientific, Technical and Legal Data at ESWC 2023
2022 – Co-chair of the International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K) at TheWebConf 2022
2022 – Co-chair of the International Workshop on Knowledge Graph Generation from Text (Text2KG) at ESWC 2022
2022 – Co-chair of the Special Track for Advanced Representation of Scholarly Knowledge (ASK) at the 26th International Conference on Science, Technology and Innovation Indicators, STI 2022
2022 – Publicity Co-Chair of ICWE 2022
2022 – Co-chair of the Knowledge Graphs Track at SAC 2022.
2022 – Co-chair of the Knowledge Graphs Track at SAC 2022.
2021 – Co-chair of Workshop on Deep Learning for Knowledge Graphs (DL4KG) at ISWC.
2021 – Co-chair of the International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K) at The Web Conf 2021.
2020 – Co-chair of “Science of Science” Track at ESWC.
2020 – Co-chair of the Scientific Knowledge Graph Workshop at TPDL.
2020 – Co-chair of Reframing Research (RefResh) Workshop at SOCINFO 2020
2019-2020 – Co-chair of Workshop on Deep Learning For Knowledge Graph (DL4KG) at ESWC.
2019 – Co-chair of “Research of Research” Track at ESWC.
2019 – Co-chair of Data Science special issue (extended papers of the SAVE-SD Workshop)
2018 – Co-chair of Doctoral consortium at EKAW 2018.
2018 – Co-chair of Reframing Research (RefResh) Workshop at EUROCSS Symposium.
2017 – Co-chair of Scientometrics Workshop (Scientometrics 2017 at ESWC).
2015-2018 – Co-chair of “Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination” Workshop (SAVE-SD 2015-2018 at WWW).

Program Committees

WOSP 2014, WLT 2014, WOSP 2015, BigScholar 2015, VOILA 2015, BigScholar 2016, WOSP 2016, ISWC P&D 2016, VOILA 2016, EKAW 2016, Drift-a-LOD 2016, SWM 2017, BigScholar 2017, VOILA 2017, WWW 2017, WOSP 2017, ESWC 2017, ISWC 2017, K-CAP 2017, QEKGraph 2017, Drift-a-LOD’18, RefResh 2018, VOILA 2018, WWW 2018, ESWC 2018, ISWC 2018, EKAW 2018, BigScholar 2018, DL4KG 2019, TheWebConf 2019, ESWC 2019, ISWC 2019, CLiC-it 2019, K-CAP 2019, AML 2019, SemEx 2019, CIKM 2020, JIST-KG 2020, ESWC 2020, ECAI 2020, ISWC 2020 (senior), EKAW 2020, SEMEX 2020, CLiC-it 2020, WOSP 2020, IRCDL 2021, TheWebConf 2021, ESWC 2021 (senior), PDyRI’2021, IRCDL 2021, TheWebConf 2021, SEMANTiCS 2021 EU, ISWC 2021 (senior), KGCW 2021, SDP 2021, ACM SAC 2021, BiblioDAP 2021, SEMANTiCS 2021, K-CAP 2021, IJCKG 2021, ESWC 2022, ICWE 2022, TheWebConf 2022, CSCW 2022, TPDL 2022, ISWC 2022 (senior), SEMANTiCS 2022, EKAW 2022, TheWebConf 2023 (senior), ESWC 2023 (senior).

Reviewer

Journal of Web Semantics, Semantic Web Journal, International Journal of Human-Computer Studies, Data Intelligence, Data Science, Future Generation of Computer Systems, PeerJ Computer Science, Information Processing and Management, MethodsX, Journal of Computational Science, Mathematical Biosciences and Engineering, Computers in Industry, EPJ Data Science, Knowledge and Information Systems, Information Processing and Management, Cognitive Systems, SoftwareX, Scientific Data, Automation in Construction.


Projects

2021-2023 – Intelligent technologies to support editorial strategies at Springer Nature – Co-PI and Technical Director. The project aims at designing several intelligent services for assisting Springer Nature workflow, predicting research dynamics, and informing editorial and marketing decisions.

2022 – VocTeach: National Educational Content Aggregator – Work package Leader. This project will design and deliver a prototype of an online platform that will enable vocational teaching practitioners to access and share resources, including curriculum-relevant content, useful for their blended teaching needs and interests, via the creation of a new FE online platform: the FE Aggregator.

2020 – Exploiting KMi’s scholarly analytics research to generate new sponsorship opportunities in Life Science – Co-PI and Technical Director. The main aim of this project is to support the migration of our scholarly analytics technologies to the Life Science domain, to open up new exploitation opportunities in this area.

2019-2020 – Intelligent technologies to support editorial strategies and marketing campaigns at Springer Nature – Co-PI and Technical Director. The project aims at developing novel intelligent technologies to automatically evaluate the quality of scientific conferences and inform editorial decisions. A significant outcome will be the development of novel technologies for characterising corporate clients according to their research interests, acquiring a better understanding of the relationship between academy and industry, and producing tailored packages of editorial products.

2018-2019 – Supporting Editorial Activities at Springer Nature – Co-PI and Technical Director. The project aimed at fostering Springer Nature editorial activities by supporting them with a variety of smart solutions leveraging artificial intelligence, data mining, and semantic technologies.

2016-2018 – Developing Semantic Technologies at Springer Nature – Co-PI and Technical Director.  This project created Smart Topic Miner, the system which is now routinely used to assist Springer Nature editors in classifying conference proceedings, and Smart Book Recommender, an ontology-based recommender system for selecting the best editorial products to market at specific venues.

2014-2017 – Automatic Detection of Research Trends – Supervisor. This grant funded the PhD of Angelo Salatino, who developed a novel approach to forecasting the emergence of new research topics.

2014-2017     Rexplore – Technical Director. The project developed innovative services for exploring and making sense of scholarly data, using large-scale data mining, machine learning and semantic technologies. I led the research and development activities of the team working on the project.


Selected Applications

2022-now – Computer Science Knowledge Graph, CS-KG (http://w3id.org/cskg): It is a large-scale automatically-generated knowledge graph describing 10M entities (e.g., tasks, methods, metrics, materials, others) according to 41M statements extracted from 6.7M articles in Computer Science.

2022-now- AIDA-Bot (https://w3id.org/aida/bot): It is a conversational agent that can answer complex user questions about the scholarly domain.

2021-now- AIDA Conference Dashboard (https://aida.kmi.open.ac.uk/dashboard): It is a tool developed in collaboration with Springer Nature for analysing and comparing conferences in Computer Science.

2020-now – Artificial Intelligence Knowledge Graph, AI-KG (http://w3id.org/aikg): It is a large-scale automatically-generated knowledge graph that describes 850K entities (e.g., tasks, methods, metrics, materials, others) relevant to AI according to 1,2M statements extracted from 333K articles.

2020-now- Academia/Industry DynAmics Knowledge Graph, AIDA (http://w3id.org/aida): It is an innovative resource for supporting large-scale analyses of research trends across academia and industry.  It describes 21M publications and 8M patents according to the research topics drawn from the Computer Science Ontology, the type of the author’s affiliations (e.g., academy, industry, collaborative), and 66 industrial sectors (e.g., automotive, financial, energy, electronics).

2019-now – CSO Classifier (https://github.com/angelosalatino/cso-classifier): It is an innovative unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO). The CSO Classifier takes as input the metadata associated with a research paper and returns a selection of research concepts drawn from the ontology. It is used by several universities and organizations for automatically annotating their research outputs.

2018-now – The Computer Science Ontology (CSO) (http://cso.kmi.open.ac.uk): CSO is a large-scale, open, automatically generated ontology of research areas. It is the largest taxonomy in the field of Computer Science, including about 14K topics and over 162K relationships. I produced it by applying my Klink-2 algorithm on a very large dataset of 16M scientific articles. CSO powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions, such as classifying research publications, detecting research communities, and predicting research trends.

2016-now – Smart Topic Miner (http://stm-demo.kmi.open.ac.uk/): A tool which uses semantic web technologies to classify scholarly publications on the basis of a very large automatically generated ontology of research areas. It was developed to support the Springer Nature Computer Science editorial team in classifying proceedings.

Awards

  • Best In-Use Paper Award at the ISWC 2022.
  • Most Influential Scholar Award – Honorable Mention (AI2000 2021), Top 25 Worldwide Researcher in Knowledge Engineering – the Artificial Intelligence 2000 Most Influential Scholar List (http://kmi.open.ac.uk/news/article/19706).
  • Best Poster of the Day Award at ISWC 2020
  • DataIQ Award Nominee 2020
  • Finalist at the Springer Nature Internal Innovation Competition 2020
  • Best Paper Award at SAVE-SD 2018.
  • 1st prize at the Semantic Publishing Challenge at the European Semantic Web Conference 2014.
  • Best Paper Award Nominee at ISWC 2019 (In-use), ISWC 2019 (Poster), ISWC 2019 (Demo), JCDL 2019, ISWC 2018 (Resources), ESWC 2014, and ICIDS 2011.
  • Best Project Award at SWSS 2011.