Zobrazeno 1 - 10
of 336
pro vyhledávání: '"Scholarly data"'
Publikováno v:
IEEE Access, Vol 12, Pp 120498-120511 (2024)
Recommender systems are becoming crucial in academia, where the number of available scientific resources is continuously increasing. One of the main challenges of such systems is a cold start problem, which often occurs when new users have no prefere
Externí odkaz:
https://doaj.org/article/1fff72dbfcea40d6883441e499708c1f
Autor:
Antonello Meloni, Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta
Publikováno v:
IEEE Access, Vol 11, Pp 22468-22489 (2023)
In the last few years, chatbots have become mainstream solutions adopted in a variety of domains for automatizing communication at scale. In the same period, knowledge graphs have attracted significant attention from business and academia as robust a
Externí odkaz:
https://doaj.org/article/caa2e88302704685bf29a2a5816c8049
Publikováno v:
IEEE Access, Vol 10, Pp 39471-39486 (2022)
Scientific conferences are essential for developing active research communities, promoting the cross-pollination of ideas and technologies, bridging between academia and industry, and disseminating new findings. Analyzing and monitoring scientific co
Externí odkaz:
https://doaj.org/article/3f43afd95edb4178bd97d0df433bbf9f
Publikováno v:
Annals of GIS, Vol 0, Iss 0, Pp 1-16 (2022)
Knowledge innovation is a key factor in industrial development and regional economic growth. Understanding regional knowledge innovation and its dynamic changes is one of the fundamental tasks of regional policy-makers and business decision-makers. A
Externí odkaz:
https://doaj.org/article/ea18cbf2fd9a43cfb15309eb02ee244b
Publikováno v:
Library Ideas, Vol 41 (2022)
Der Beitrag stellt den Einsatz des kommerziellen Cloud-Computing-Dienstes Google BigQuery für die Arbeit mit großen offenen Datensätzen über wissenschaftliche Veröffentlichungen an der Niedersächsischen Staats- und Universitätsbibliothek Gött
Externí odkaz:
https://doaj.org/article/272811c527c14508b016255e308dcee2
Autor:
Redaktion LIBREAS
Publikováno v:
Library Ideas, Vol 41 (2022)
Externí odkaz:
https://doaj.org/article/d546c57e275c4aee91768e548e77d84b
Autor:
Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann
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://doaj.org/article/bcc90211c03a4ff88a2b59eaaa9a41db
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 8, Iss 4, Pp 573-584 (2020)
Online scientific communities are bases that publish books, journals, and scientific papers, and help promote knowledge. The researchers use search engines to find the given information including scientific papers, an expert to collaborate with, and
Externí odkaz:
https://doaj.org/article/4f2af3effed849bab277e47edb86cfc3
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
The academic social networks (ASNs) play an important role in promoting scientific collaboration and innovation in academic society. Accompanying the tremendous growth of scholarly big data, finding suitable scholars on ASNs for collaboration has bec
Externí odkaz:
https://doaj.org/article/bea4b9189c544d80b9be161905e413c9
Publikováno v:
IEEE Access, Vol 6, Pp 19205-19221 (2018)
Scholarly information usually contains millions of raw data, such as authors, papers, citations, as well as scholarly networks. With the rapid growth of the digital publishing and harvesting, how to visually present the data efficiently becomes chall
Externí odkaz:
https://doaj.org/article/3f90ebe1718047ec85da606bd8ba84f4