In an increasingly data-driven world, the need for structured, interconnected, and intelligent data representation is paramount. Knowledge Graphs have emerged as a transformative solution, offering a comprehensive and relational view of complex datasets. This chapter delves into the core principles and applications of Knowledge Graphs, exploring their representation, reasoning capabilities, and the advanced techniques employed for data induction. Through a narrative that begins with an innovative scenario, readers are introduced to the multifaceted landscape of Knowledge Graphs and their pivotal role in modern data analytics and decision-making processes. Whether you’re an innovator, researcher, or data enthusiast, this chapter provides an understanding of the power and potential of Knowledge Graphs in today’s digital age.

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Knowledge Graphs: Representation and Reasoning

  • Bikram Pratim Bhuyan,
  • Amar Ramdane-Cherif,
  • Thipendra P. Singh,
  • Ravi Tomar

摘要

In an increasingly data-driven world, the need for structured, interconnected, and intelligent data representation is paramount. Knowledge Graphs have emerged as a transformative solution, offering a comprehensive and relational view of complex datasets. This chapter delves into the core principles and applications of Knowledge Graphs, exploring their representation, reasoning capabilities, and the advanced techniques employed for data induction. Through a narrative that begins with an innovative scenario, readers are introduced to the multifaceted landscape of Knowledge Graphs and their pivotal role in modern data analytics and decision-making processes. Whether you’re an innovator, researcher, or data enthusiast, this chapter provides an understanding of the power and potential of Knowledge Graphs in today’s digital age.