Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Chenyang BU"'
Publikováno v:
大数据, Vol 9, Pp 137-159 (2023)
A data central platform positions the data of an entity-be it a corporate entity, institutional body, or governmental department-as a pivotal strategic asset.It's a management mechanism that spans from data collection to processing and application, a
Externí odkaz:
https://doaj.org/article/76780faf5a6e4158aefe5e1e3a7a8462
Publikováno v:
Intelligent Computing, Vol 2 (2023)
Entity alignment refers to discovering identical entity pairs in 2 knowledge graphs, which is a significant task in knowledge fusion. Early automated entity alignment techniques are based mainly on similarity calculation and comparing symbolic featur
Externí odkaz:
https://doaj.org/article/f167031b28f34567af03db361d170331
Publikováno v:
Future Internet, Vol 14, Iss 2, p 39 (2022)
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment mo
Externí odkaz:
https://doaj.org/article/836c8903bad24f808098515a82114642
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:447-461
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-12
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:1057-1067
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:2412-2425
Online education promotes the sharing of learning resources. Knowledge tracing (KT) is aimed at tracking the cognition function of students according to their performance on various exercises at different times and has attracted considerable attentio
Publikováno v:
Neural Information Processing ISBN: 9783031301070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::177a06ca48c0dc0450f17196c9aa90b9
https://doi.org/10.1007/978-3-031-30108-7_22
https://doi.org/10.1007/978-3-031-30108-7_22
Publikováno v:
Journal of Database Management. 32:48-64
The automatic construction of knowledge graphs (KGs) from multiple data sources has received increasing attention. The automatic construction process inevitably brings considerable noise, especially in the construction of KGs from unstructured text.
Publikováno v:
2022 IEEE International Conference on Data Mining (ICDM).