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Personal Knowledge Graphs (PKGs): Methodology, tools and applications by Sanju T

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9781839537011
Book Title
Personal Knowledge Graphs (PKGs)
ISBN
9781839537011
Publication Year
2023
Series
Computing and Networks Ser.
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Personal Knowledge Graphs (Pkgs) : Methodology, Tools and Applications
Author
François Scharffe
Item Length
9.2in
Publisher
Institution of Engineering & Technology
Item Width
6.1in
Number of Pages
350 Pages

About this product

Product Information

Since the development of the semantic web, knowledge graphs (KGs) have been used by search engines, knowledge-engines and question-answering services as well as social networks. A knowledge graph, also known as a semantic network, represents and illustrates a network of real-world entities such as objects, events, situations, or concepts and the relationships between them. This information is usually stored in a graph database and visualized as a graph structure, prompting the term "knowledge graph". Knowledge graphs structure the information of entities, their properties and the relation between them. Personal knowledge graphs (PKG) encode the same information at an individual level and therefore vary widely. PKGs require the processing of each person's individual information and is constructed in an automated fashion. Once a PKG is constructed, it will be integrated in broader purpose KGs. A PKG is a representation of all relevant common-sense knowledge and personal data for a user and can support the development of innovative applications such as a digitalized personalized coach. It empowers stakeholders to make more effective decisions. This book explores in a structured manner the global advanced research around PKGs to support the development of innovative digitalized personalized applications such as personal banking, personalized book-keeping, daily health-related activities monitoring and goal management tracking. The authors present methodologies, tools and applications including innovative topics tailored for PKGs such as named entity recognition and linking, construction approaches, modelling of personalization and context-awareness, evaluation approaches, relation extraction techniques, query answering in user specific knowledge graphs, knowledge representation and reasoning (KRR), visualization tools, integration tools and techniques, and fact summarization. The book provides systematic coverage of this complex topic for researchers, scientists and engineers in both industry and academia working in data science, ICTs, knowledge engineering, semantic web, reasoning, information retrieval, and machine and deep learning with a focus on knowledge graphs. Advanced students with an interest in the field will also find this to be a useful resource.

Product Identifiers

Publisher
Institution of Engineering & Technology
ISBN-10
1839537019
ISBN-13
9781839537011
eBay Product ID (ePID)
10061251030

Product Key Features

Author
François Scharffe
Publication Name
Personal Knowledge Graphs (Pkgs) : Methodology, Tools and Applications
Format
Hardcover
Language
English
Publication Year
2023
Series
Computing and Networks Ser.
Type
Textbook
Number of Pages
350 Pages

Dimensions

Item Length
9.2in
Item Width
6.1in

Additional Product Features

Lc Classification Number
Qa76.76
Table of Content
Part 1: Introduction and Overview Chapter 1: Personal Knowledge Graphs: An Introduction Chapter 2: Applications of Personal Knowledge Graphs Part 2: Knowledge Representation and Reasoning Chapter 3: Knowledge Representation and Reasoning in Personal Knowledge Graphs Chapter 4: From Knowledge to Reasoning, a Cognitive Perspective on Personal Knowledge Graphs Part 3: Data Management and Visualization Chapter 5: Named Entity Resolution in Personal Knowledge Graphs Chapter 6: Relation Extraction Techniques for Personal Knowledge Graphs Chapter 7: Visualization tools for personal knowledge graphs Part 4: Natural Language Processing Chapter 8: Query-answering with text and knowledge graph Chapter 9: Extracting Personal Information from Conversations Chapter 10: Fact Summarization for Personalized Knowledge Graphs Chapter 11: Personalized Recommender systems based on Knowledge Graphs Part 5: Evaluation and Other Applications Chapter 12: Evaluation Approaches of Personal Knowledge Graphs Chapter 13: Automated Personal Health Knowledge Graph Construction Using Internet of Medical Things Chapter 14: Integrating Personal Knowledge Graphs into the Enterprise Chapter 15: Conclusion
Copyright Date
2023
Target Audience
College Audience
Topic
Computer Science, Natural Language Processing, General
Dewey Decimal
005.57
Dewey Edition
23
Genre
Computers, Mathematics

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