Results 51 to 60 of about 7,514,301 (303)
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
doaj
An Embedding-based Approach to Rule Learning in Knowledge Graphs
, 2019 It is natural and effective to use rules for representing explicit knowledge in knowledge graphs. However, it is challenging to learn rules automatically from very large knowledge graphs such as Freebase and YAGO.
Wang, Z, Wang, K, Ghiasnezhad Omran, P
core +1 more source
Integration of OPC UA information models into Enterprise Knowledge Graphs [PDF]
, 2022 Building repositories of data relevant for enterprise operations requires harmonization of formats and semantics. OPC UA’s nodes-and-references data model shares basic elements with well-established semantic modeling technologies like RDF.
Arno Weiss +3 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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Measuring Accuracy of Triples in Knowledge Graphs [PDF]
, 2017 An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are often carried out by human experts and
Shuangyan Liu +6 more
core +1 more source
Towards a Knowledge Graph for Teaching Knowledge Graphs
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.
openaire +4 more sources
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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FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
Cybersecurity knowledge graphs
Knowledge and Information Systems, 2023 AbstractCybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist security analysts to obtain cyberthreat intelligence, achieve a high level of cyber-situational awareness, discover ...
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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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