05458nam 22007815 450 99646573610331620240327172821.03-319-49493-710.1007/978-3-319-49493-7(CKB)3710000001079929(DE-He213)978-3-319-49493-7(MiAaPQ)EBC5595750(PPN)19886843X(EXLCZ)99371000000107992920170225d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierReasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering[electronic resource] 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures /edited by Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin, Yuting Zhao1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XIV, 259 p. 37 illus.)Information Systems and Applications, incl. Internet/Web, and HCI ;98853-319-49492-9 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.Information Systems and Applications, incl. Internet/Web, and HCI ;9885Database managementArtificial intelligenceMathematical logicInformation storage and retrievalApplication softwareData miningDatabase Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Computer Appl. in Administrative Data Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/I2301XData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Database management.Artificial intelligence.Mathematical logic.Information storage and retrieval.Application software.Data mining.Database Management.Artificial Intelligence.Mathematical Logic and Formal Languages.Information Storage and Retrieval.Computer Appl. in Administrative Data Processing.Data Mining and Knowledge Discovery.025.04Pan Jeff Zedthttp://id.loc.gov/vocabulary/relators/edtCalvanese Diegoedthttp://id.loc.gov/vocabulary/relators/edtEiter Thomas1966-edthttp://id.loc.gov/vocabulary/relators/edtHorrocks Ianedthttp://id.loc.gov/vocabulary/relators/edtKifer Michaeledthttp://id.loc.gov/vocabulary/relators/edtLin Fangzhenedthttp://id.loc.gov/vocabulary/relators/edtZhao Yutingedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465736103316Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering2830573UNISA