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.).
2017
TK5105.88815
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
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.).
ISBN
9783319494937 (electronic book)
3319494937 (electronic book)
9783319494920
3319494929
3319494937 (electronic book)
9783319494920
3319494929
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.
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
All Resources
Table of Contents
Understanding Author Intentions: Test Driven Knowledge Graph Construction
Inseparability and Conservative Extensions of Description Logic Ontologies: A Survey
Navigational and Rule-Based Languages for Graph Databases
LOD Lab: Scalable Linked Data Processing
Inconsistency-Tolerant Querying of Description Logic Knowledge Bases
From Fuzzy to Annotated Semantic Web Languages
Applying Machine Reasoning and Learning in Real World Applications.
Inseparability and Conservative Extensions of Description Logic Ontologies: A Survey
Navigational and Rule-Based Languages for Graph Databases
LOD Lab: Scalable Linked Data Processing
Inconsistency-Tolerant Querying of Description Logic Knowledge Bases
From Fuzzy to Annotated Semantic Web Languages
Applying Machine Reasoning and Learning in Real World Applications.