Show simple item record

dc.contributor.authorPan JZ
dc.contributor.authorCalvanese D
dc.contributor.authorEiter T
dc.contributor.authorHorrocks I
dc.contributor.authorKifer M
dc.contributor.authorLin F
dc.contributor.authorZhao Y
dc.contributor.editorPan JZ
dc.contributor.editorCalvanese D
dc.contributor.editorEiter T
dc.contributor.editorHorrocks I
dc.contributor.editorKifer M
dc.contributor.editorLin F
dc.contributor.editorZhao Y
dc.date.accessioned2019-10-17T13:39:05Z
dc.date.available2019-10-17T13:39:05Z
dc.date.issued2017
dc.identifier.isbn978-3-319-49492-0
dc.identifier.issn0302-9743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-49493-7
dc.identifier.urihttps://link.springer.com/book/10.1007/978-3-319-49493-7
dc.identifier.urihttps://bia.unibz.it/handle/10863/11169
dc.description.abstractThis 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.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.relation
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.rights
dc.titleReasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School Tutorial Lecturesen_US
dc.typeBooken_US
dc.date.updated2019-09-29T03:26:51Z
dc.publication.title
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record