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Bringing Federated Semantic Queries to the GIS-Based Scenario
ISPRS International Journal of Geo-Information, 2022 Geospatial data is increasingly being made available on the Web as knowledge graphs using Linked Data principles. This entails adopting the best practices for publishing, retrieving, and using data, providing relevant initiatives that play a prominent ...
Oswaldo Páez, Luis M. Vilches-Blázquez
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, 2022 A collection of open source tools, resources and conferences related to Wikibase knowledge graphs (https://github.com/shigapov/wikibase-knowledge ...
Renat Shigapov
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Hands on Explainable Recommender Systems with Knowledge Graphs
, 2022 The goal of this tutorial is to present the RecSys community with recent advances on explainable recommender systems with knowledge graphs. We will first introduce conceptual foundations, by surveying the state of the art and describing real-world ...
Fenu G. +3 more
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Embedding Uncertain Temporal Knowledge Graphs
Mathematics, 2023 Knowledge graph (KG) embedding for predicting missing relation facts in incomplete knowledge graphs (KGs) has been widely explored. In addition to the benchmark triple structural information such as head entities, tail entities, and the relations between
Tongxin Li +5 more
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Resources for Graph Data and Knowledge [PDF]
Transactions on Graph Data and KnowledgeIn this Special Issue of Transactions on Graph Data and Knowledge - entitled "Resources for Graph Data and Knowledge" - we present eight articles that describe key resources in the area.
Hogan, Aidan +4 more
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Knowledge Graphs of Kawasaki Disease
, 2021 Kawasaki Disease is a vasculitis syndrome that is extremely harmful to children. Kawasaki Disease can cause severe symptoms of ischemic heart disease or develop into ischemic heart disease, leading to death in children. Researchers and clinicians need to
Liao, Mingqun +5 more
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Research on the Construction and Applicationof Vertical Knowledge Graphs
Zhishi guanli luntan, 2016 [Purpose/significance]In recent years, knowledge graphs have gained wide attention from academia and industry. Knowledge graphs of different domains are widely used in query understanding, automatic question answering and document representation. [Method/
Ruan Tong, WangMengjie, Wang Haofen, HuFanghuai
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Disease ontologies for knowledge graphs
BMC Bioinformatics, 2021 Background Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy.
Natalja Kurbatova, Rowan Swiers
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Molecular cartooning with knowledge graphs
Frontiers in Bioinformatics, 2022 Molecular “cartoons,” such as pathway diagrams, provide a visual summary of biomedical research results and hypotheses. Their ubiquitous appearance within the literature indicates their universal application in mechanistic communication.
Brook E. Santangelo +3 more
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