Results 31 to 40 of about 8,905,265 (199)
Complex Temporal Question Answering on Knowledge Graphs [PDF]
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much attention in research. This work presents EXAQT, the first end-to-end system for answering complex temporal questions that have multiple entities and predicates, and associated ...
Zhen Jia 0002 +3 more
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RubenVerborgh/Knowledge-Graph-Conference-2022: v1.0.0
Slides for my talk at the Knowledge Graph Conference ...
Ruben Verborgh
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Diachronic Embedding for Temporal Knowledge Graph Completion
Knowledge graphs (KGs) typically contain temporal facts indicating relationships among entities at different times. Due to their incompleteness, several approaches have been proposed to infer new facts for a KG based on the existing ones–a problem known as KG completion.
Rishab Goel +3 more
openaire +4 more sources
Temporal knowledge graph completion:methods and progress
Temporal knowledge graph (TKG) are obtained by adding the time information of real-world knowledge to classical knowledge graphs.Recently, TKG completion has drawn much attention and become a hot topic in research.Two main methodologies for TKG ...
Yuming SHEN, Jianfeng DU
doaj
Few-shot temporal knowledge graph completion based on meta-optimization
Knowledge Graphs (KGs) have become an increasingly important part of artificial intelligence, and KGs have been widely used in artificial intelligence fields such as intelligent answering questions and personalized recommendation.
Lin Zhu +3 more
doaj +1 more source
Towards the specification and verification of modal properties for structured systems [PDF]
System specification formalisms should come with suitable property specification languages and effective verification tools. We sketch a framework for the verification of quantified temporal properties of systems with dynamically evolving structure.
Andrea Vandin, Vandin, Andrea, Vandin A
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Temporal Knowledge Graph Completion Using Box Embeddings
Knowledge graph completion is the task of inferring missing facts based on existing data in a knowledge graph. Temporal knowledge graph completion (TKGC) is an extension of this task to temporal knowledge graphs, where each fact is additionally ...
Abboud, Ralph +2 more
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Unsupervised Entity Alignment for Temporal Knowledge Graphs
Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend traditional knowledge graphs by introducing timestamps, which have received increasing attention.
Xiaoze Liu +4 more
openaire +4 more sources
Extrapolation over temporal knowledge graph via hyperbolic embedding
Predicting potential facts in the future, Temporal Knowledge Graph (TKG) extrapolation remains challenging because of the deep dependence between the temporal association and semantic patterns of facts.
Yan Jia +7 more
doaj +1 more source
Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service.
Miao Tian +7 more
doaj +1 more source

