Personal Knowledge Graphs (PKGs)

Sanju Tiwari is a senior researcher at UAT Mexico. She is an experienced researcher and academician with 15 years of experience in computer science field. She is DAAD Post-Doc-Net AI fellow for 2021 and visited different German Universities under the DAAD fellowship. She is a mentor of Google Summer of Code (GSoC 2022-23) at DBpedia and a member of InfAI, Leipzig University, Germany. She is also working as a curator of ORKG Grant Program, at TIB Hannover, Germany.François Scharffe is an associate professor at the University of Montpellier, France. He is a knowledge scientist with a track record of improving data management in organizations through innovative research. He is also the founder and program chair of the Knowledge Graph Conference. His research interests include knowledge graphs, ontology engineering, data integration and AI. He holds a PhD degree in "Correspondence Patterns for Ontology Alignment" from the University of Innsbruck, Austria.Fernando Ortiz-Rodríguez is a full professor and director of the Research Institute at Tamaulipas Autonomous University, Mexico. He is a full professor and the artificial intelligence and innovation lab director, and research advisor for INDEX Mexico. He is a member of the Information Technology research group and part of the knowledge graph and semantic web community. His research interests include semantic web, information systems, e-government and artificial intelligence.Manas Gaur is an assistant professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County, USA. His research focuses on knowledge graphs (KGs), natural language processing, artificial intelligence (AI), and conversational systems for social good applications. With his PhD advisor, he co-created Knowledge-infused Learning, a new paradigm within NeuroSymbolic AI focusing on making KGs and knowledge workflows intrinsic components of AI.

• Section 1: Introduction and overviewChapter 1: Personal knowledge graphs: an introductionChapter 2: Applications of personal knowledge graphs Section 2: Knowledge representation and reasoningChapter 3: Knowledge representation and reasoning in personal knowledge graphsChapter 4: From knowledge to reasoning, a cognitive perspective on personal knowledge graphs Section 3: Data management and visualizationChapter 5: Named entity resolution in personal knowledge graphsChapter 6: Relation extraction techniques for personal knowledge graphsChapter 7: Visualization tools for personal knowledge graphs Section 4: Natural language processingChapter 8: Query-answering with text and knowledge graphChapter 9: Extracting personal information from conversationsChapter 10: Fact summarization for personalized knowledge graphsChapter 11: Personalized recommender systems based on knowledge graphs Section 5: Evaluation and other applicationsChapter 12: Evaluation approaches of personal knowledge graphsChapter 13: Personal health knowledge graph construction using Internet of Medical ThingsChapter 14: Integrating personal knowledge graphs into the enterpriseChapter 15: Conclusion