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Knowledge Graphs: Opportunities and Challenges

A systematic overview of knowledge graphs, focusing on opportunities and challenges.

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Knowledge Graphs: Opportunities and Challenges

By Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco OsborneArtificial Intelligence Review
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This paper presents a comprehensive review of knowledge graphs, discussing their applications in AI systems and potential fields. It also explores technical challenges such as knowledge graph embeddings, acquisition, completion, fusion, and reasoning.

The authors aim to provide insights for future research and development in the field.

Abstract

This paper presents a comprehensive review of knowledge graphs, discussing their applications in AI systems and potential fields. It also explores technical challenges such as knowledge graph embeddings, acquisition, completion, fusion, and reasoning. The authors aim to provide insights for future research and development in the field.

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knowledge graphsartificial intelligencegraph datacomplex information representationopportunities and challengesKnowledge GraphsStructured ContentContent EngineeringAI Agents
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