Results 11 to 20 of about 318,242 (266)
A Survey on Multimodal Knowledge Graphs: Construction, Completion and Applications
Mathematics, 2023 As an essential part of artificial intelligence, a knowledge graph describes the real-world entities, concepts and their various semantic relationships in a structured way and has been gradually popularized in a variety practical scenarios.
Yong Chen +5 more
doaj +1 more source
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.
Alexandros Vassiliades +5 more
openaire +2 more sources
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.
Alexandros Vassiliades +6 more
openaire +1 more source
Scientific Reports, 2021 This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19.
Feng Pan +10 more
doaj +1 more source
A type-augmented knowledge graph embedding framework for knowledge graph completion
Scientific Reports, 2023 Knowledge graphs (KGs) are of great importance to many artificial intelligence applications, but they usually suffer from the incomplete problem.
Peng He +4 more
doaj +1 more source
IEEE Access, 2022 In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query problem in natural language knowledge graph. Since the basic
Qifeng Zou, Chaoze Lu
doaj +1 more source
Text-Graph Enhanced Knowledge Graph Representation Learning
Frontiers in Artificial Intelligence, 2021 Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space.
Linmei Hu +6 more
doaj +1 more source
Survey on Visualization Query Technology of Knowledge Graph [PDF]
Jisuanji gongcheng, 2020 Knowledge graph,as the development product of symbolism,is considered to be an important part of artificial intelligence technologies and systems,and widely used in encyclopedia knowledge,biological information,social network,network security and so on ...
WANG Xin, FU Qiang, WANG Lin, XU Dawei, WANG Haofen
doaj +1 more source
A Knowledge Graph Perspective on Knowledge Engineering
SN Computer Science, 2022 AbstractFor over 50 years researchers and practitioners have searched for ways to elicit and formalize expert knowledge to support AI applications. Expert systems and knowledge bases were all results of these efforts. The initial efforts on knowledge bases were focused on defining a domain and task intensionally with rather complex ontologies.
Simsek, Umutcan +7 more
openaire +1 more source
Analysis of Knowledge Graph Path Reasoning Based on Variational Reasoning
Applied Sciences, 2022 Knowledge graph (KG) reasoning improves the perception ability of graph structure features, improving model accuracy and enhancing model learning and reasoning capabilities.
Hongmei Tang +5 more
doaj +1 more source