User-centered visual analysis using a hybrid reasoning architecture for intensive care units [PDF]
, 2012 One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data ...
Mehdaoui, Hossein +9 more
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ChronoR: Rotation Based Temporal Knowledge Graph Embedding [PDF]
, 2021 Despite the importance and abundance of temporal knowledge graphs, most of the current research has been focused on reasoning on static graphs. In this paper, we study the challenging problem of inference over temporal knowledge graphs.
Armandpour, Mohammadreza +3 more
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GC-GAT: An integrated approach combining grid calculation and graph attention network for geographic knowledge graph reasoning [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesGeographic knowledge graph (KG) reasoning enables the inference of missing entities and relations, a fundamental step toward constructing comprehensive geospatial knowledge systems. However, prevailing approaches often struggle with the accurate modeling
Y. Liu, L. Gao, Y. Zhang, H. Yin
doaj +1 more source
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Temporal knowledge graph, serving as an effective way to store and model dynamic relations, shows promising prospects in event forecasting. However, most temporal knowledge graph reasoning methods are highly dependent on the recurrence or periodicity of events, which brings challenges to inferring future events related to entities that lack historical ...
Yi Xu 0004 +3 more
openaire +2 more sources
Survey on Construction Method of Temporal Knowledge Graph [PDF]
Jisuanji kexue yu tansuoAs a bridge connecting data, knowledge, and intelligence, knowledge graph has been widely applied in fields such as search assistance, intelligent recommendation, question-answering systems, and natural language processing. However, with the expansion of
LU Jiamin, ZHANG Jing, FENG Jun, AN Qi
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Time-aware Path Reasoning on Knowledge Graph for Recommendation [PDF]
, 2022 Reasoning on knowledge graph (KG) has been studied for explainable recommendation due to it's ability of providing explicit explanations. However, current KG-based explainable recommendation methods unfortunately ignore the temporal information (such as ...
Xie, Haiyong +6 more
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ChatKG: Visualizing Temporal Patterns as Knowledge Graph [PDF]
, 2023 Line-chart visualizations of temporal data enable users to identify interesting patterns for the user to inquire about. Using oracles, such as chat AIs, Visual Analytic tools can automatically uncover explicit knowledge related information to said ...
Christino, Leonardo +1 more
core +1 more source
Temporal reasoning in knowledge graphs : artificial intelligence systems for reasoning with time in Vadalog [PDF]
, 2023 The rise of knowledge graphs has sparked great interest in providing scalable and efficient reasoning capabiliies for a variety of problems. A particularly prominent language supporting scalable reasoning techniques is Vadalog, which supports advanced ...
Nissl, Markus; orcid:
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Dynamic Evolution and Relation Perception for Temporal Knowledge Graph Reasoning
Future InternetTemporal knowledge graphs (TKGs) incorporate temporal information into traditional triplets, enhancing the dynamic representation of real-world events.
Yuan Huang +3 more
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Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data
Remote Sensing, 2022 Forest fires have frequently occurred and caused great harm to people’s lives. Many researchers use machine learning techniques to predict forest fires by considering spatio-temporal data features.
Xingtong Ge +6 more
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