Results 31 to 40 of about 238,723 (304)
Frontiers in Big Data, 2021 Knowledge graphs are a modern way to store information. However, the knowledge they contain is not static. Instances of various classes may be added or deleted and the semantic relationship between elements might evolve as well.
Jon Haël Brenas, Arash Shaban-Nejad
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Restricting the Spurious Growth of Knowledge Graphs by Using Ontology Graphs
IEEE AccessKnowledge Graphs have demonstrated a real advantage in knowledge representation, leveraging graphs NoSQL structures and schema-less technology, which offers superior comprehension, knowledge representation, interpretation, and reasoning.
Kina Tatchukova, Yanzhen Qu
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Enhancing Biomedical Knowledge Representation Through Knowledge Graphs
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThere is a plethora of information related to the biomedical domain on the internet. Unfortunately, retrieving this information online is challenging because of insufficient semantic metadata embedded within the web documents that help search engines ...
Sebastian Chalarca +4 more
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Keyphrase Extraction Using Knowledge Graphs
Data Science and Engineering, 2017 Extracting keyphrases from documents automatically is an important and interesting task since keyphrases provide a quick summarization for documents. Although lots of efforts have been made on keyphrase extraction, most of the existing methods (the co ...
Wei Shi +4 more
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Knowledge Graphs and Explainable AI in Healthcare
Information, 2022 Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals.
Enayat Rajabi, Somayeh Kafaie
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K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain
IEEE Access, 2022 The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks.
Vivek Kumar +3 more
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Collective knowledge graph: meta knowledge transfer and federated graph reasoning
智能科学与技术学报, 2022 Collective knowledge graphs refer to knowledge graphs that are managed and maintained in a decentralized or distributed manner through group collaboration.Compared with the existing centrally managed knowledge graph, the collective knowledge graph has ...
Mingyang CHEN +4 more
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FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
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Training and hackathon on building biodiversity knowledge graphs [PDF]
Research Ideas and Outcomes, 2019 Knowledge graphs have the potential to unite disconnected digitized biodiversity data, and there are a number of efforts underway to build biodiversity knowledge graphs.
Joel Sachs +6 more
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A Knowledge Graph Recommendation Approach Incorporating Contrastive and Relationship Learning
IEEE Access, 2023 Knowledge graphs, encompassing abundant structured and semantic information, exhibit remarkable potential within personalized recommendation fields.
Xintao Shen, Yulai Zhang
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