Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Danilo Dessì"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Networks whose nodes have labels can seem complex. Fortunately, many have substructures that occur often (“motifs”). A societal example of a motif might be a household. Replacing such motifs by named supernodes reduces the com
Externí odkaz:
https://doaj.org/article/b58e411bd2e34119897c4191a7ed55a3
Publikováno v:
Applied Network Science, Vol 2, Iss 1, Pp 1-15 (2017)
Abstract Complex network analysis is rising as an essential tool to understand properties of ecological landscape networks, and as an aid to land management. The most common methods to build graph models of ecological networks are based on representi
Externí odkaz:
https://doaj.org/article/ecdc7259283a45f398fa25fe13b3ad1c
Publikováno v:
Journal of Intelligent Information Systems. 59:21-44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7877b7c0c8eed90794c4433ef3ad1d2c
https://doi.org/10.1007/s10844-021-00679-0
https://doi.org/10.1007/s10844-021-00679-0
Autor:
Agustín Borrego, Danilo Dessì, Inma Hernández, Francesco Osborne, Diego Reforgiato Recupero, David Ruiz, Davide Buscaldi, Enrico Motta
This archive contains AI-KG with additional 300K triples used in thepaper "Completing Scientific Facts in Knowledge Graphs of Research Concepts", accepted in IEEE Access.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c74cfbb1d201a120173813b4bcc0b42c
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, Elsevier, 2021, 116, pp.253-264. ⟨10.1016/j.future.2020.10.026⟩
Future Generation Computer Systems, Elsevier, 2021, 116, pp.253-264. ⟨10.1016/j.future.2020.10.026⟩
The continuous growth of scientific literature brings innovations and, at the same time, raises new challenges. One of them is related to the fact that its analysis has become difficult due to the high volume of published papers for which manual effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fce2641416a40ae07a61d088e2e81776
https://doi.org/10.1016/j.future.2020.10.026
https://doi.org/10.1016/j.future.2020.10.026
Science communication has a number of bottlenecks that include the rising number of published research papers and its non-machine-accessible and document-based paradigm, which makes the exploration, reading, and reuse of research outcomes rather inef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a265bfad4879f86c1f64b9025b622d8
https://hdl.handle.net/10281/411695
https://hdl.handle.net/10281/411695
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
In recent years, we saw the emergence of several approaches for producing machine-readable, semantically rich, interlinked description of the content of research publications, typically encoded as knowledge graphs. A common limitation of these soluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8047d95d7d9ccffc1ecff38b53ddc99
https://hdl.handle.net/10281/412219
https://hdl.handle.net/10281/412219
Publikováno v:
Computers in Human Behavior. 92:468-477
Moving towards the next generation of personalized learning environments requires intelligent approaches powered by analytics for advanced learning contexts with enriched digital content. Micro-Learning through Massive Open Online Courses is riding t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::464e651a8bb2a51e49c5ff4372b879af
https://doi.org/10.1016/j.chb.2018.03.004
https://doi.org/10.1016/j.chb.2018.03.004
Autor:
Yiyi Chen, Russa Biswas, Danilo Dessì, Fabian Hoppe, Mehwish Alam, Harald Sack, Genet Asefa Gesese
Publikováno v:
WWW (Companion Volume)
A huge number of scholarly articles published every day in different domains makes it hard for the experts to organize and stay updated with the new research in a particular domain. This study gives an overview of a new approach, HierClasSArt, for kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11db53273c671648869a096fb136ec39
https://doi.org/10.1145/3442442.3451365
https://doi.org/10.1145/3442442.3451365
Publikováno v:
WWW (Companion Volume)
The amount of scientific literature continuously grows, which poses an increasing challenge for researchers to manage, find and explore research results. Therefore, the classification of scientific work is widely applied to enable the retrieval, supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff8515771beb25a8a680fa33b97bcc20
https://doi.org/10.1145/3442442.3451361
https://doi.org/10.1145/3442442.3451361