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Constructing knowledge graphs and their biomedical applications
Computational and Structural Biotechnology Journal, 2020 Knowledge graphs can support many biomedical applications. These graphs represent biomedical concepts and relationships in the form of nodes and edges. In this review, we discuss how these graphs are constructed and applied with a particular focus on how
David N. Nicholson, Casey S. Greene
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XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023 In the previous two decades, knowledge graphs have evolved, inspiring developers to build even more context related Knowledge Graphs. Because of this development, artificial intelligence applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible.
Vassiliades, Alexandros +5 more
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XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management
2023 IEEE 17th International Conference on Semantic Computing (ICSC), 2023 The evolution of Knowledge Graphs (KGs), during the last two decades, has encouraged developers to create more and more context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access open domain specific information in a semantically rich, machine understandable format.
Vassiliades, Alexandros +6 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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Constructing Knowledge Graphs for Online Collaborative Programming
IEEE Access, 2021 This study aimed to automatically construct knowledge graphs for online collaborative programming. We proposed several models and developed a system to construct knowledge graphs based on online discussion texts and the target knowledge graph for the C ...
Yuanyi Zhen, Lanqin Zheng, Penghe Chen
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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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Research of Personalized Recommendation Technology Based on Knowledge Graphs
Applied Sciences, 2021 Nowadays, personalized recommendation based on knowledge graphs has become a hot spot for researchers due to its good recommendation effect. In this paper, we researched personalized recommendation based on knowledge graphs.
Xu Yang +3 more
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Knowledge Graph Embeddings [PDF]
, 2012 With the growing popularity of multi-relational data on the Web, knowledge graphs (KGs) have become a key data source in various application domains, such as Web search, question answering, and natural language understanding. In a typical KG such as Freebase (Bollacker et al.
Rosso, Paolo +2 more
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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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, 2020 This paper presents the Knowledge Graph Usage framework, which allows the introduction of Knowledge Graph features to support Trust, Privacy, Transparency and Accountability concerns regarding the use of its contents by applications. A real-world example is presented and used to illustrate how the framework can be used.
Umutcan Serles, Dieter Fensel
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