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Reasoning web = logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Reasoning web/ edited by Jeff Z. Pan ... [et al.].
其他題名:
logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
其他作者:
Pan, Jeff Z.
團體作者:
Summer School on Reasoning Web
出版者:
Cham :Springer International Publishing : : 2017.,
面頁冊數:
xiv, 259 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer eBooks
標題:
Semantic Web - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-49493-7
ISBN:
9783319494937
Reasoning web = logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
Reasoning web
logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /[electronic resource] :edited by Jeff Z. Pan ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 259 p. :ill., digital ;24 cm. - Lecture notes in computer science,98850302-9743 ;. - Lecture notes in computer science ;9885..
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.
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.
ISBN: 9783319494937
Standard No.: 10.1007/978-3-319-49493-7doiSubjects--Topical Terms:
576331
Semantic Web
--Congresses.
LC Class. No.: TK5105.88815
Dewey Class. No.: 005.74
Reasoning web = logical foundation of knowledge graph construction and query : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, tutorial lectures /
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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.
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