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62027020
Building Knowledge Graphs: A Practitioner's Guide
86% of respondents would recommend this to a friend
Item #:
62027020
XCD 213
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What Stands Out
Comprehensive Insights
Provides thorough guidance on constructing knowledge graphs, covering both fundamental principles and advanced techniques, ideal for practitioners looking to enhance their data organization skills.
Practical Applications
Equips readers with real-world examples and case studies, demonstrating the application of knowledge graphs across various industries to solve complex data challenges effectively.
Expert Contributions
Features insights from leading experts in the field, ensuring that readers receive the most current and relevant information to successfully implement knowledge graph strategies.
Product Details
- Practical guide for data scientists and engineers to build knowledge graphs
- Addresses the process of creating and implementing knowledge graphs using hands-on examples
- Provides insights into common patterns for building knowledge graphs solving knowledge management problems
- Covers organizing principles, importing structured and unstructured data, integration and search, and pattern detection
- Explores the applications of knowledge graphs in natural language processing, chatbots, and machine learning
- Written for computing professionals, no prior experience with knowledge graphs required, some database and programming knowledge recommended
| Publisher | O'Reilly Media |
| Publication date | August 1, 2023 |
| Edition | 1st |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 1098127102 |
| ISBN-13 | 978-1098127107 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.75 x 9 inches (17.8 x 1.9 x 22.9 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists seeking to enhance their skills in knowledge graph creation and management.
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Software Developers
Useful for developers looking to implement knowledge graphs in applications for better data organization and retrieval.
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Researchers
Beneficial for researchers interested in exploring knowledge representation and semantic technologies in various fields.
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Beginners
Not suitable for beginners who lack foundational knowledge in data structures or graph theory.
Product Description
Building Knowledge Graphs: A Practitioner's Guide
About This Item
Product Description: The "Building Knowledge Graphs: A Practitioner's Guide" is the ultimate resource for anyone interested in understanding and implementing knowledge graphs. With its comprehensive coverage and practical advice, this 1st edition guide is a must-have for those looking to harness the power of knowledge graph technology. Whether you are a data scientist, software engineer, or business analyst, this book will take you through the entire process of building and deploying knowledge graphs. From the basics of knowledge graph modeling to the latest tools and techniques, you will gain the skills needed to successfully implement knowledge graphs in your own projects. Discover the best practices for creating effective knowledge graph structures and learn how to leverage knowledge graph tools to streamline the development process.
With insights on data integration, visualization, and implementation strategies, you will be equipped to confidently build knowledge graphs that improve information retrieval, enable semantic search, and enhance recommendation systems. With a focus on real-world applications, this guide provides numerous examples and use cases, showcasing the benefits of knowledge graphs in various industries, including e-commerce, content marketing, and data management. From improving customer recommendations to enhancing machine learning algorithms, knowledge graphs offer endless possibilities for extracting insights and gaining a competitive edge. Whether you are new to knowledge graphs or looking to enhance your existing knowledge, "Building Knowledge Graphs: A Practitioner's Guide" is your go-to resource. Start building your expertise today and unlock the full potential of knowledge graph technology.
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Pros
- Comprehensive coverage of knowledge graphs
- Practical examples and case studies
- Clear explanations for all levels
- Useful tools and frameworks provided
- High-quality illustrations and diagrams
Cons
- Some advanced topics might overwhelm beginners
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XCD 213
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Features & Benefits
- Learn the organizing principles necessary to build a knowledge graph
- Understand how to import structured and unstructured data into your graph
- Follow examples to build integration-and-search knowledge graphs
- Explore dependency knowledge graphs through examples
- Use examples of natural language knowledge graphs and chatbots
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