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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures, Paperback / softback Book

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures Paperback / softback

Edited by Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin, Yuting Zhao

Part of the Information Systems and Applications, incl. Internet/Web, and HCI series

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

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.

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Available to Order - This title is available to order, with delivery expected within 2 weeks
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