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Resources for Graph Data and Knowledge [PDF]
Transactions on Graph Data and KnowledgeIn this Special Issue of Transactions on Graph Data and Knowledge - entitled "Resources for Graph Data and Knowledge" - we present eight articles that describe key resources in the area.
Hogan, Aidan +4 more
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Molecular cartooning with knowledge graphs
Frontiers in Bioinformatics, 2022 Molecular “cartoons,” such as pathway diagrams, provide a visual summary of biomedical research results and hypotheses. Their ubiquitous appearance within the literature indicates their universal application in mechanistic communication.
Brook E. Santangelo +3 more
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Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020 Knowledge Graphs can be considered as fulfilling an early vision in Computer Science of creating intelligent systems that integrate knowledge and data at large scale. Stemming from scientific advancements in research areas of Semantic Web, Databases, Knowledge representation, NLP, Machine Learning, among others, Knowledge Graphs have rapidly gained ...
Claudio Gutierrez 0001, Juan F. Sequeda
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Disease ontologies for knowledge graphs
BMC Bioinformatics, 2021 Background Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy.
Natalja Kurbatova, Rowan Swiers
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Towards a Knowledge Graph for Teaching Knowledge Graphs [PDF]
CoRRThis poster paper describes the ongoing research project for the creation of a use-case-driven Knowledge Graph resource tailored to the needs of teaching education in Knowledge Graphs (KGs). We gather resources related to KG courses from lectures offered by the Semantic Web community, with the help of the COST Action Distributed Knowledge Graphs and ...
Ilkou, E., Jiménez-Ruiz, E.
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Research on the Construction and Applicationof Vertical Knowledge Graphs
Zhishi guanli luntan, 2016 [Purpose/significance]In recent years, knowledge graphs have gained wide attention from academia and industry. Knowledge graphs of different domains are widely used in query understanding, automatic question answering and document representation. [Method/
Ruan Tong, WangMengjie, Wang Haofen, HuFanghuai
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Entity Profiling in Knowledge Graphs
IEEE Access, 2020 Knowledge Graphs (KGs) are graph-structured knowledge bases storing factual information about real-world entities. Understanding the uniqueness of each entity is crucial to the analyzing, sharing, and reusing of KGs.
Xiang Zhang +3 more
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Applications of knowledge graphs for food science and industry
Patterns, 2022 Summary: The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g., Instagram and Twitter) generates huge amounts of food data ...
Weiqing Min +3 more
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Survey of Research on Knowledge Graph Based on Pre-trained Language Models [PDF]
Jisuanji kexueIn the era of large language models(LLMs),knowledge graphs(KGs),as a structured representation of knowledge,play an irreplaceable role in enhancing the reliability,security,and interpretability of artificial intelligence.With its superior performance in ...
ZENG Zefan, HU Xingchen, CHENG Qing, SI Yuehang, LIU Zhong
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