{
"item_title" : "Knowledge Graph Completion and Its Applications",
"item_author" : [" Yu Zhao "],
"item_description" : "Knowledge Graphs (KGs) attract increasing interest in research in various KG-driven AI-related fields, such as question answering, information recommendation, dialogue, etc. KGs are effective well-structural relational databases for knowledge acquisition. This book presents our research and developments on knowledge graph learning and its applications. Specifically, we mainly focus on: 1) knowledge graph completion, including entity and relation prediction, and entity typing, and 2) the KG applications, including its utilization in fine-grained entity typing, and stock movement prediction.",
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Overview
Knowledge Graphs (KGs) attract increasing interest in research in various KG-driven AI-related fields, such as question answering, information recommendation, dialogue, etc. KGs are effective well-structural relational databases for knowledge acquisition. This book presents our research and developments on knowledge graph learning and its applications. Specifically, we mainly focus on: 1) knowledge graph completion, including entity and relation prediction, and entity typing, and 2) the KG applications, including its utilization in fine-grained entity typing, and stock movement prediction.
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Details
- ISBN-13: 9786206142300
- ISBN-10: 6206142302
- Publisher: LAP Lambert Academic Publishing
- Publish Date: February 2023
- Dimensions: 9 x 6 x 0.32 inches
- Shipping Weight: 0.46 pounds
- Page Count: 136
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