Recent combinations of Semantic Technology and Artificial Intelligence presents new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning.
Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore Semantic AI and Knowledge Graphs. A range of topics are covered, from: neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning.
A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.
About the Author: Sanju Tiwari is a Senior Researcher at Universidad Autonoma de Tamaulipas, Mexico. She is DAAD Post-Doc-Net AI Fellow for 2021. She previously worked as a Post-Doctoral Researcher in the Ontology Engineering Group, Universidad Polytecnica de Madrid, Spain. Her research focuses on Semantic Web, Knowledge Graphs, Artificial Intelligence and Ontology Engineering. She has edited four Books. She has worked as a Guest Editor for IGI-Global and Inderscience, Multimedia Tools and Applications Journal (MTAP) Journals and is currently working as Guest Editor for the the Journal of Cyber Security and Mobility, and IJWIS, Emerald. Sanju is General Chair (KGSWC 2020-21) and Program Chair for different International Conferences and Workshops (FTSE-2021, AMLDA-2021, RTIP2R-2021-22).
Fernando Ortiz-Rodríguez is Full Professor, member of the National Research Council level C and Director of the Research Institute UAT at Tamaulipas Autonomous University, Reynosa, Tamaulipas, 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. He has been the main Chair and Organizer of the KGSWC multi-series conference. He isa member of National Systems Researchers (SNI) of the National Council of Science and Technology (CONACYT), Mexico's entity promoting scientific and technological activities and high-quality scientific research. He is also a member of the Association for Computing Machinery (ACM). He holds a PhD degree on "Computer science and Artificial Intelligence and Information Systems" from the Technical University of Madrid, Spain.
Sarra BEN ABBES, PhD - R&D Expert, Artificial Intelligence
Patience Usip is a Senior Lecturer of Computer Science, University of Uyo, Uyo, Nigeria. She holds a Ph.D and M.Sc in Computer Science from University of Ibadan, Ibadan, Nigeria and B.Sc in Computer Science from University of Calabar, Calabar, Nigeria. She is a Post-doc fellow, Massachusetts Institute of Technology (MIT), USA and also an All Africa House Fellow, University of Cape Town, South Africa. Her research interests include Knowledge Representation and Reasoning- a sub-sub-field of Artificial Intelligence, Formal Representations, Computer Logic, Ontology Development, Knowledge Graphs, Multilingual Sematic Web, Intelligent Systems in several domains including Health, etc. She has published locally and internationally in books, book chapters, journals and conference proceedings. She has served as reviewer to several Journals locally and internationally to include MTAP, ASTEJ, etc. She has served as External Examiner for M.Sc. Dissertation, University of Cape Town, South Africa and for Ph.D. Thesis, India, etc. She has served as Speaker, program committee member and General Chair in winter schools, workshops and conferences. She has several awards to her credit and is a member of many professional bodies.
Rim Hantach is a Research Scientist at ENGIE France.