This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016) held
in Aberdeen UK in September 2016.In 2016 the theme of the school was Logical Foundation of
Knowledge Graph Construction and Query Answering. The notion of knowledge graph has become
popular since Google started to use it to improve its search engine in 2012. Inspired by the
success of Google knowledge graphs are gaining momentum in the World Wide Web arena. Recent
years have witnessed increasing industrial take-ups by other Internet giants including
Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a
logical foundation for constructing and querying knowledge graphs. Our journey starts from the
introduction of Knowledge Graph as well as its history and the construction of knowledge
graphs by considering both explicit and implicit author intentions. The book will then cover
various topics including how to revise and reuseontologies (schema of knowledge graphs) in a
safe way how to combine navigational queries with basic pattern matching queries for knowledge
graph how to setup a environment to do experiments on knowledge graphs how to deal with
inconsistencies and fuzziness in ontologies and knowledge graphs and how to combine machine
learning and machine reasoning for knowledge graphs.
