Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Angelo Antonio Salatino"'
Autor:
Angelo Antonio Salatino, Yu Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb28925c566d5143e97ab60466eb919a
https://doi.org/10.1145/3543873.3589740
https://doi.org/10.1145/3543873.3589740
Autor:
Sahar Vahdati, Andrey Kravchenko, Gokce Muge Cil, Simone Angioni, Diego Reforgiato Recupero, Francesco Osborne, Jens Lehmann, Mojtaba Nayyeri, Enrico Motta, Angelo Antonio Salatino
Publikováno v:
IEEE Access, Vol 9, Pp 116002-116014 (2021)
Knowledge graphs (KGs) are widely used for modeling scholarly communication, performing scientometric analyses, and supporting a variety of intelligent services to explore the literature and predict research dynamics. However, they often suffer from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6333fc32f5b7360d50e28f946049044
https://doi.org/10.1109/access.2021.3105183
https://doi.org/10.1109/access.2021.3105183
Autor:
Aliaksandr Birukou, Enrico Motta, Angelo Antonio Salatino, Thiviyan Thanapalasingam, Francesco Osborne, Andrea Mannocci
Publikováno v:
Data Intelligence, Vol 2, Iss 3, Pp 379-416 (2020)
Data Intelligence
Data Intelligence
Ontologies of research areas are important tools for characterizing, exploring, and analyzing the research landscape. Some fields of research are comprehensively described by large-scale taxonomies, e.g., MeSH in Biology and PhySH in Physics. Convers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97eef0191eaeacba561c21ce77662b4e
https://mitprc.silverchair.com/dint/article/2/3/379/94891/The-Computer-Science-Ontology-A-Comprehensive
https://mitprc.silverchair.com/dint/article/2/3/379/94891/The-Computer-Science-Ontology-A-Comprehensive
Classifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fc0f156968cf94944c7e719232868e8
http://oro.open.ac.uk/78283/1/Salatino2021_Article_CSOClassifier30AScalableUnsupe.pdf
http://oro.open.ac.uk/78283/1/Salatino2021_Article_CSOClassifier30AScalableUnsupe.pdf
Autor:
Gokce Muge Cil, Simone Angioni, Enrico Motta, Angelo Antonio Salatino, Nadezhda Vassilyeva, Sahar Vahdati, Diego Reforgiato Recupero, Francesco Osborne, Jens Lehmann, Mojtaba Nayyeri, Mahfuzur Rahman
The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the quality of AI-based services. In the scholarly domain, KGs describing research publications typically lack important information, hindering our ability to analyse and predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c17ab6137f5c8f7b9e15f33d5228b9
http://oro.open.ac.uk/77317/1/1-s2.0-S0925231221009607-main.pdf
http://oro.open.ac.uk/77317/1/1-s2.0-S0925231221009607-main.pdf
Publikováno v:
Predicting the Dynamics of Research Impact ISBN: 9783030866679
Predicting the Dynamics of Research Impact, edited by Manolopoulos Y., Vergoulis T., pp. 225–252, 2021
info:cnr-pdr/source/autori:Salatino A.; Mannocci A.; Osborne F./titolo:Detection, analysis, and prediction of research topics with scientific knowledge graphs/titolo_volume:Predicting the Dynamics of Research Impact/curatori_volume:Manolopoulos Y., Vergoulis T./editore:/anno:2021
Predicting the Dynamics of Research Impact, edited by Manolopoulos Y., Vergoulis T., pp. 225–252, 2021
info:cnr-pdr/source/autori:Salatino A.; Mannocci A.; Osborne F./titolo:Detection, analysis, and prediction of research topics with scientific knowledge graphs/titolo_volume:Predicting the Dynamics of Research Impact/curatori_volume:Manolopoulos Y., Vergoulis T./editore:/anno:2021
Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical decisions about research funding and technology adoption. In the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c89374a79be5fc965c08677def917b
https://doi.org/10.1007/978-3-030-86668-6_11
https://doi.org/10.1007/978-3-030-86668-6_11
Publikováno v:
Applications and Practices in Ontology Design, Extraction, and Reasoning
Ontologies of research areas have been proven to be useful resources for analysing and making sense of scholarly data. In this chapter, we present the Computer Science Ontology (CSO), which is the largest ontology of research areas in the field, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50f416be99ed8b6c1660ca9ebd2dadfe
https://doi.org/10.3233/ssw200037
https://doi.org/10.3233/ssw200037
Autor:
Diego Reforgiato Recupero, Enrico Motta, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne
Publikováno v:
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium ISBN: 9783030558130
ADBIS/TPDL/EDA Workshops
1st Workshop on Scientific Knowledge Graphs
ADBIS/TPDL/EDA Workshops
1st Workshop on Scientific Knowledge Graphs
Academia and industry are constantly engaged in a joint effort for producing scientific knowledge that will shape the society of the future. Analysing the knowledge flow between them and understanding how they influence each other is a critical task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abab9f14a7b8fb310c052e6d694723d
https://doi.org/10.1007/978-3-030-55814-7_18
https://doi.org/10.1007/978-3-030-55814-7_18
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030307950
Identifying the research topics that best describe the scope of a scientific publication is a crucial task for editors, in particular because the quality of these annotations determine how effectively users are able to discover the right content in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fbbd19ea688e6fa703a4ec9994b0c92
http://hdl.handle.net/10281/381227
http://hdl.handle.net/10281/381227
Autor:
Angelo Antonio Salatino, Enrico Motta
Publikováno v:
SAVE-SD 2016
Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 9783319536361
Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 9783319536361
Being aware of new research topics is an important asset for anybody involved in the research environment, including researchers, academic publishers and institutional funding bodies. In recent years, the amount of scholarly data available on the web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678a2fa8e5bc0a76d84f71f107c9c90a
http://oro.open.ac.uk/45846/1/Paper_CameraReady.pdf
http://oro.open.ac.uk/45846/1/Paper_CameraReady.pdf