Results 41 to 50 of about 1,050,353 (272)
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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Efficient Parallel Translating Embedding For Knowledge Graphs
, 2018 Knowledge graph embedding aims to embed entities and relations of knowledge graphs into low-dimensional vector spaces. Translating embedding methods regard relations as the translation from head entities to tail entities, which achieve the state-of-the ...
Abadi Martín +7 more
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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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The More You Know: Using Knowledge Graphs for Image Classification
, 2017 One characteristic that sets humans apart from modern learning-based computer vision algorithms is the ability to acquire knowledge about the world and use that knowledge to reason about the visual world.
Gupta, Abhinav +2 more
core +1 more source
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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Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
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
doaj +3 more sources
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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