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检索条件"主题词=Knowledge Graph Validation"
5 条 记 录,以下是1-10 订阅
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knowledge graph validation by integrating LLMs and human-in-the-loop
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INFORMATION PROCESSING & MANAGEMENT 2025年 第5期62卷
作者: Tsaneva, Stefani Dessi, Danilo Osborne, Francesco Sabou, Marta Vienna Univ Business & Econ Inst Data Proc & Knowledge Management Welthandelspl 1 A-1020 Vienna Austria Univ Sharjah Coll Comp & Informat Comp Sci Dept Sharjah U Arab Emirates Open Univ Knowledge Media Inst Walton Hall Milton Keynes MK7 6AA England Univ Milano Bicocca Dept Business & Law Via Bicocca Arcimboldi 8 I-20126 Milan Italy
Ensuring the quality of knowledge graphs (KGs) is crucial for the success of the intelligent applications they support. Recent advances in large language models (LLMs) have demonstrated human-level performance across ... 详细信息
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Efficient knowledge graph validation via Cross-graph Representation Learning  20
Efficient Knowledge Graph Validation via Cross-Graph Represe...
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29th ACM International Conference on Information and knowledge Management (CIKM)
作者: Wang, Yaqing Ma, Fenglong Gao, Jing SUNY Buffalo Buffalo NY 14260 USA Penn State Univ University Pk PA 16802 USA
Recent advances in information extraction have motivated the automatic construction of huge knowledge graphs (KGs) by mining from large-scale text corpus. However, noisy facts are unavoidably introduced into KGs that ... 详细信息
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SCOOP All the Constraints' Flavours for Your knowledge graph  21st
SCOOP All the Constraints' Flavours for Your Knowledge Graph
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21st International Conference on The Semantic Web (ESWC)
作者: Duan, Xuemin Chaves-Fraga, David Derom, Olivier Dimou, Anastasia Katholieke Univ Leuven Flanders Make KULeuven Leuven AI Leuven Belgium Univ Santiago Compostela Grp Sistemas Intelixentes Santiago De Compostela Spain
Creating SHACL shapes for the validation of RDF graphs is a non-trivial endeavor. Automated shape extraction systems typically derive SHACL shapes from RDF graphs, and thus, their effectiveness is inherently influence... 详细信息
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Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
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INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES 2024年 第2期25卷 273-285页
作者: Oelen, Allard Stocker, Markus Auer, Soren TIB Leibniz Informat Ctr Sci & Technol Hannover Germany
Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publicat... 详细信息
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TinyGenius: Intertwining Natural Language Processing with Microtask Crowdsourcing for Scholarly knowledge graph Creation  22
TinyGenius: Intertwining Natural Language Processing with Mi...
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22nd ACM/IEEE Joint Conference on Digital Libraries (JCDL)
作者: Oelen, Allard Stocker, Markus Auer, Soeren TIB Leibniz Informat Ctr Sci & Technol Hannover Germany
As the number of published scholarly articles grows steadily each year, new methods are needed to organize scholarly knowledge so that it can be more efficiently discovered and used. Natural Language Processing (NLP) ... 详细信息
来源: 评论