Tiwari S., Scharffe F., Ortiz-Rodríguez F., Gaur M. (eds.) Personal Knowledge Graphs (PKGs): Methodology, tools and applications

IET, 2023. — 360 p. — ISBN 978-1839537019.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.Section 1: Introduction and Overview
Personal knowledge graphs: an introduction
Applications of personal knowledge graphs
Section 2: Knowledge representation and reasoning
Knowledge representation and reasoning in personal knowledge graphs
From knowledge to reasoning, a cognitive perspective on personal knowledge graphs
Section 3: Data management and visualization
Named entity resolution in personal knowledge graphs
Relation extraction techniques for personal knowledge graphs
Visualization tools for personal knowledge graphs
Section 4: Natural language processing
Query-answering with text and knowledge graph 1
Extracting personal information from conversations
Fact summarization for personalized knowledge graphs
Personalized recommender systems based on knowledge graphs
Section 5: Evaluation and other applications
Evaluation approaches of personal knowledge graphs
Personal health knowledge graph construction using Internet of Medical Things
Integrating personal knowledge graphs into the enterprise
Conclusion