壁画
发表于 2025-3-30 12:05:04
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CRATE
发表于 2025-3-30 15:32:40
A Semantic Use Case Simulation Framework for Training Machine Learning Algorithmsng SHACL/RDF(S) and SPARQL CONSTRUCT queries. The main benefits of this approach are (1) portability to other domains, (2) applicability to various ML algorithms, and (3) mitigation of the cold-start problem or sparse data.
使成整体
发表于 2025-3-30 17:07:54
An Empirical Evaluation of RDF Graph Partitioning Techniqueses. We evaluate the selected RDF graph partitioning techniques in terms of their partitioning time, partitioning imbalance (in sizes), and query run time performances achieved, based on real-world data sets and queries selected using the . benchmark generation framework.
拥挤前
发表于 2025-3-30 21:27:19
Fuzzy Semantic Labeling of Semi-structured Numerical Datasetsng beforehand, and it avoids tedious and costly manual training to match values with .. We evaluate our approach against manually annotated datasets. The results show that the proposed approach classifies most of the types correctly for our test sets.
optic-nerve
发表于 2025-3-31 01:00:00
https://doi.org/10.1007/978-3-030-03667-6artificial intelligence; data mining; data security; data stream; databases; description logic; Human-Comp
新字
发表于 2025-3-31 06:03:49
978-3-030-03666-9Springer Nature Switzerland AG 2018
的染料
发表于 2025-3-31 10:34:11
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影响深远
发表于 2025-3-31 15:55:19
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/543897.jpg
人充满活力
发表于 2025-3-31 20:46:16
10楼
MURKY
发表于 2025-3-31 21:56:44
10楼