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, 1st ed. 2017)

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 reuse ontologies (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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 9885
Release date:	March 2017
First published:	2017
Editors:	Jeff Z. Pan • Diego Calvanese • Thomas Eiter • Ian Horrocks • Michael Kifer • Fangzhen Lin • Yuting Zhao
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	259
Edition:	1st ed. 2017
ISBN-13:	978-3-319-49492-0
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Language & Literature > Literature: texts > Essays, journals, letters & other prose works > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-319-49492-9
Barcode:	9783319494920

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