Knowledge Graphs: Opportunities and Challenges
- URL: http://arxiv.org/abs/2303.13948v1
- Date: Fri, 24 Mar 2023 12:10:42 GMT
- Title: Knowledge Graphs: Opportunities and Challenges
- Authors: Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne
- Abstract summary: 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.
This paper focuses on the opportunities and challenges of knowledge graphs.
- Score: 3.868053839556011
- License: http://creativecommons.org/publicdomain/zero/1.0/
- Abstract: 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. Then, we thoroughly discuss severe
technical challenges in this field, such as knowledge graph embeddings,
knowledge acquisition, knowledge graph completion, knowledge fusion, and
knowledge reasoning. We expect that this survey will shed new light on future
research and the development of knowledge graphs.
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