Reasoning web : logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures / Jeff Z. Pan... [et al.] (eds.).
Summer School on Reasoning Web (12th : 2016 : Aberdeen, Scotland)
2017
TK5105.88815
Available Online

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Title Reasoning web : logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures / Jeff Z. Pan... [et al.] (eds.).
Meeting Name Summer School on Reasoning Web (12th : 2016 : Aberdeen, Scotland)
ISBN 9783319494937 (electronic book)
3319494937 (electronic book)
9783319494920
3319494929
DOI https://doi.org/10.1007/978-3-319-49493-7
Published Cham : Springer International Publishing : Imprint: Springer, 2017.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-49493-7 doi
Call Number TK5105.88815
Dewey Decimal Classification 005.74
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Lecture notes in computer science ; 9885.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Available in Other Form Print version: 9783319494920
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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Inconsistency-Tolerant Querying of Description Logic Knowledge Bases
From Fuzzy to Annotated Semantic Web Languages
Applying Machine Reasoning and Learning in Real World Applications.

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