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Knowledge Graphs: Opportunities and Challenges

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Bibliographic Details
Main Authors: Ciyuan, Peng, Feng, Xia, Mehdi, Naseriparsa
Format: Book
Language:English
Published: Springer 2023
Subjects:
artificial intelligence
AI systems built upon knowledge graphs
Online Access:https://link.springer.com/article/10.1007/s10462-023-10465-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7714
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spelling oai:localhost:PNK-77142023-04-10T03:41:44Z Knowledge Graphs: Opportunities and Challenges Ciyuan, Peng Feng, Xia Mehdi, Naseriparsa artificial intelligence AI systems built upon knowledge graphs CC BY With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately. As graph data, knowledge graphs accumulate and convey knowledge of the real world. It has been well-recognized that knowledge graphs effectively represent complex information; hence, they rapidly gain the attention of academia and industry in recent years. Thus to develop a deeper understanding of knowledge graphs, this paper presents a systematic overview of this field. Specifically, we focus on the opportunities and challenges of knowledge graphs. We first review the opportunities of knowledge graphs in terms of two aspects: (1) AI systems built upon knowledge graphs; (2) potential application fields of knowledge graphs. 2023-04-10T03:41:44Z 2023-04-10T03:41:44Z 2023 Book https://link.springer.com/article/10.1007/s10462-023-10465-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7714 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic artificial intelligence
AI systems built upon knowledge graphs
spellingShingle artificial intelligence
AI systems built upon knowledge graphs
Ciyuan, Peng
Feng, Xia
Mehdi, Naseriparsa
Knowledge Graphs: Opportunities and Challenges
description CC BY
format Book
author Ciyuan, Peng
Feng, Xia
Mehdi, Naseriparsa
author_facet Ciyuan, Peng
Feng, Xia
Mehdi, Naseriparsa
author_sort Ciyuan, Peng
title Knowledge Graphs: Opportunities and Challenges
title_short Knowledge Graphs: Opportunities and Challenges
title_full Knowledge Graphs: Opportunities and Challenges
title_fullStr Knowledge Graphs: Opportunities and Challenges
title_full_unstemmed Knowledge Graphs: Opportunities and Challenges
title_sort knowledge graphs: opportunities and challenges
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10462-023-10465-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7714
_version_ 1762818480885727232
score 8.887836

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