What are Knowledge Graphs?

Knowledge Graphs are structured representations of knowledge that capture relationships between entities in a graph format. They enable better data integration and serve as a backbone for semantic search, enhancing the ability to extract meaningful information. For instance, they are widely used in search engines to improve query understanding and deliver more relevant results.

What are the key techniques used in constructing Knowledge Graphs?

Key techniques in constructing Knowledge Graphs include entity extraction, relation extraction, and semantic linking. By identifying relevant entities and their relationships, these techniques help create a cohesive structure which can be queried and analyzed efficiently. In practice, this is essential for applications such as chatbots that need to understand user queries contextually.

What are the applications of Knowledge Graphs?

Knowledge Graphs have various applications, including enhancing search engine results, improving recommendation systems, and powering customer support solutions. They are particularly beneficial in industries such as e-commerce, where understanding product relationships can significantly improve user experience, enabling customers to find complementary products quickly.

How do Knowledge Graphs improve search results?

Knowledge Graphs enhance search results by providing context and relationships around search queries. This enables platforms to deliver richer, more relevant content rather than simple keyword matches. For example, when a user searches for a book, a Knowledge Graph helps surface similar titles or related authors, enriching the user experience.

What roles do machine learning play in developing Knowledge Graphs?

Machine Learning is crucial in automating the processes involved in Knowledge Graph development, such as entity recognition and relationship extraction. By training models on large datasets, these algorithms can improve accuracy and adapt to new data, enabling organizations to keep their Knowledge Graphs up to date. This means that applications like AI-driven analytics will benefit from more accurate insights derived from the graph.

Can Knowledge Graphs be integrated with existing databases?

Yes, Knowledge Graphs can be integrated with existing databases by mapping traditional data structures to graph structures. This allows organizations to leverage current datasets while gaining the advantages of graph-based relationships, making it ideal for business intelligence platforms that require advanced querying capabilities.

What challenges exist when building Knowledge Graphs?

Building Knowledge Graphs can present challenges such as data quality, consistency, and scalability. While the integration of diverse data sources can enrich the graph, inconsistencies must be addressed to maintain accuracy. Organizations must also ensure that the graph can scale with growing data volumes, making robust architecture essential for success.

How do Knowledge Graphs affect customer personalization?

Knowledge Graphs significantly enhance customer personalization by allowing businesses to understand user preferences and behaviors better. By analyzing relationships between products and user interactions, businesses can tailor recommendations and marketing efforts, resulting in a more engaging customer experience. For instance, an online bookstore could suggest titles based on previous purchases.

What is the significance of semantic web technologies in Knowledge Graphs?

Semantic web technologies play a critical role in structuring Knowledge Graphs, as they provide standards and protocols for data exchange, enabling interoperability between different systems. This enhances the ability of Knowledge Graphs to integrate with diverse datasets, facilitating more robust analytics and richer insights, especially useful for applications in big data and analytics.

Как да пазарувате Knowledge Graphs: Fundamentals, Techniques, and онлайн от Ubuy?

Лесно е да пазарувате Knowledge Graphs: Fundamentals, Techniques, and онлайн от Ubuy.. Просто трябва да потърсите продукта, да изберете метода си за доставка, докато плащате, и да го достави до вашето местоположение.

Knowledge Graphs: Fundamentals, Techniques, and предлага ли се за пазаруване онлайн в Bulgaria?

Да, в Ubuy Bulgaria този продукт е наличен, за да пазарувате на разумна цена.. Knowledge Graphs: Fundamentals, Techniques, and не се предлага на местно ниво, но можете да ни се доверите с нашите услуги за експресна доставка.

Колко време отнема получаването на продукта след извършване на поръчката?

Времето за доставка на поръчания от вас продукт варира в зависимост от това, което сте поръчали, и избрания от вас метод на доставка.. Очакваното време за доставка се споменава по време на процеса на плащане, така че бъдете безгрижни, докато пазарувате.

Вижте оригинала

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs

№ на артикул: 35193321

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

Q: Where can I buy Knowledge Graphs: Fundamentals, Techniques, and Applications in Bulgaria?

You can purchase 'Knowledge Graphs: Fundamentals, Techniques, and Applications' from Ubuy in Bulgaria. Ubuy provides a reliable platform to find this title along with other educational resources, ensuring you can easily access the information you need for mastering Knowledge Graphs.

88% of respondents would recommend this to a friend

№ на артикул: 35193321

€ 67

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

^{*All items will import from САЩ}

Наличност : В наличност

Импортирани от магазин USA

QTY:

Само 12 артикули са останали на склад.

Поръчайте сега и я вземете Monday, Октомври 19

Secured transaction

Our Top Logistics Partners

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs

Hardcover

Гаранция на U-Care:

Нито един

Изберете план

Fast
Shipping

Free
Return^*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of САЩ store (110-120). Recommended power converters Купи сега.

What Stands Out

Comprehensive Overview

This book offers a thorough introduction to knowledge graphs, covering foundational concepts, techniques, and practical applications for learners and professionals alike.

Adaptive Learning

Leveraging adaptive computation techniques, the content is designed to enhance understanding, making complex topics accessible and engaging for diverse audiences in machine learning.

Practical Applications

Real-world case studies and examples demonstrate the application of knowledge graphs, providing readers with valuable insights into industry practices and solutions.

Информация за продукта

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Publisher	The MIT Press
Publication date	March 30, 2021
Language	English
Print length	568 pages
ISBN-10	0262045095
ISBN-13	978-0262045094
Item Weight	2.31 pounds (1.05 kg)
Dimensions	7.32 x 1.18 x 9.29 inches (18.6 x 3 x 23.6 cm)

Who Should Buy?

Data Scientists
Ideal for data scientists seeking to understand the principles and techniques of knowledge graphs for effective data management.
Researchers
Beneficial for researchers in AI and machine learning who wish to explore advanced knowledge graph applications and methodologies.
Students
Great for graduate and postgraduate students studying machine learning who need a comprehensive understanding of knowledge graphs.

Casual Readers
Not suitable for casual readers who lack a foundational understanding of machine learning and knowledge representation.

ОПИСАНИЕ НА ПРОДУКТА

Имате запитване? Чат с нас

Въпроси и отговори на клиенти

въпрос: Как да пазарувате Knowledge Graphs: Fundamentals, Techniques, and онлайн от Ubuy?

отговор: Лесно е да пазарувате Knowledge Graphs: Fundamentals, Techniques, and онлайн от Ubuy.. Просто трябва да потърсите продукта, да изберете метода си за доставка, докато плащате, и да го достави до вашето местоположение.
въпрос: Knowledge Graphs: Fundamentals, Techniques, and предлага ли се за пазаруване онлайн в Bulgaria?

отговор: Да, в Ubuy Bulgaria този продукт е наличен, за да пазарувате на разумна цена.. Knowledge Graphs: Fundamentals, Techniques, and не се предлага на местно ниво, но можете да ни се доверите с нашите услуги за експресна доставка.
въпрос: Колко време отнема получаването на продукта след извършване на поръчката?

отговор: Времето за доставка на поръчания от вас продукт варира в зависимост от това, което сте поръчали, и избрания от вас метод на доставка.. Очакваното време за доставка се споменава по време на процеса на плащане, така че бъдете безгрижни, докато пазарувате.

Intelligence & Semantics Editorial Review

Knowledge Graphs: Fundamentals, Techniques, and Applications is a comprehensive exploration of knowledge graphs within the Adaptive Computation and Machine Learning series published by The MIT Press. Released on March 30, 2021, this 568-page book in English delves into various aspects, providing readers with essential techniques and applications of knowledge graphs. The well-structured content and clarity make it a valuable resource for both academics and practitioners. With its extensive coverage, readers appreciate its depth and practical insights, which enhance their understanding and application of knowledge graphs in real-world scenarios.

Customer Reviews & Ratings

4.3

66 оценки от клиенти

5 звезда

64%
4 звезда

17%
3 звезда

11%
2 звезда

3%
1 звезда

5%

Дайте отзив за този продукт

Споделете вашите мисли с други клиенти

Професионалисти

Comprehensive coverage of knowledge graph techniques
Well-structured content for easy understanding
Valuable resource for academics and practitioners
Practical insights into real-world applications
Extensive publication from a reputable publisher

минуси

Might be too dense for beginners in the field

Product Price History

Важна информация

Ограничения: За продукти, доставени в международен план, имайте предвид, че е възможно не всяка гаранция на производителя да е валидна; опциите за обслужване на производителя може да не са налични; ръководствата на продукта, инструкциите и предупрежденията за безопасност може да не са на езиците на държавата на местоназначение; продуктите (и придружаващите ги материали) може да не са проектирани в съответствие със стандартите, спецификациите и изискванията за етикетиране на страната по местоназначение; също така продуктите може да не отговарят на напрежението в държавата по местоназначение и на други електрически стандарти (изискващи използване на адаптер или преобразувател, ако е необходимо). Получателят е длъжен да гарантира, че продуктът може да бъде внесен законно в страната по местоназначение. Когато поръчвате от Ubuy или неговите партньори, получателят е вносител и трябва да спазва всички закони и разпоредби на страната по местоназначение.
Не всички продукти, изброени в Ubuy, се продават, тъй като Ubuy е глобална търсачка. Продуктите са предмет на разпоредбите за износ/търговия.

€ 67

Поръчайте сега и я вземете Monday, Октомври 19

QTY:

Само 12 артикули са останали на склад.

Secured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners

Fastest cross-border delivery

Характеристики и предимства

Covers major approaches to knowledge graphs
Rigorous and comprehensive
Active and interdisciplinary area within artificial intelligence
Allows modeling, processing, and deriving insights from complex real-world data
Involves predicting cyberattacks, recommending products, and gleaning insights from papers on COVID-19
Includes both established and latest deep learning methods

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns ^*, and secure packaging on every order.

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)