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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, UK, September ... Applications, incl. Internet/Web, and HCI) - Tapa blanda
Sinopsis
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 reuseontologies (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.
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Acerca del autor
Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and the Chief Editor of the book of ‘Exploiting Linked Data and Knowledge Graphs in Large Organisations’. He is known for his work on knowledge construction, reasoning and exploitation.
Diego Calvanese is a Full Professor at Free University of Bozen-Bolzano. He is one of the editors of the Description Logic Handbook and a member of the Editorial Board of JAIR and Big Data Research. He has been nominated EurAI Fellow in 2015.
Thomas Eiter is a Full Professor at TU Wien. He is an expert on Knowledge Representation and Non-monotonic Logic Programming. He is a EurAI Fellow, a Corresponding Member of the Austrian Academy of Sciences (ÖAW) and a Member of the Academia Europea.
Ian Horrocks is a Full Professor at Oxford. He chaired the W3C OWL WG and is an Editor-in-Chief of the Journal of Web Semantics. He won the BCS Roger Needham award and is a Fellow of the Royal Society, a Fellow of EurAI and a Fellow of the Academia Europea. He is the Scientific Coordinator of SIRIUS.
Michael Kifer is a Full Professor at Stony Brook University. He won the ACM SIGMOD Test of Time Award twice for the work on object-oriented query languages and the work on F-Logic. He won 20-year Test of Time Award from the Association for Logic Programming for the work on Transaction Logic.
Fangzhen Lin is a Full Professor at Hong Kong University of Science and Technology . He was awarded the Croucher Senior Research Fellowship (2006) and won many best papers awards in top Knowledge Representation and Artificial Intelligence conferences including KR06, KR08, IJCAI97 and AIPS2000. He was an Associate Editor of AI Journal and JAIR. He is an AAAI Fellow (2017).
Yuting Zhao is a Senior Researcher at the Center for Advanced Studies at IBM Italy. Before that, he was a Research Fellow in Prof Jeff Z. Pan’s group at University of Aberdeen. He co-edited two books with Prof Pan on Semantic Web and Software Engineering, including ‘Ontology Driven Software Development’.
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
Publicado por
Springer International Publishing Feb 2017, 2017
ISBN 10: 3319494929
ISBN 13: 9783319494920
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch. Nº de ref. del artículo: 9783319494920
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319494929
ISBN 13: 9783319494920
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 reuseontologies (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. Nº de ref. del artículo: 9783319494920
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319494929
ISBN 13: 9783319494920
Nuevo
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Made for students, researchers and practitioners interested in Knowledge Graphs, Question Answering, and Semantic WebThoroughly revised tutorials cover logical foundations for constructing and querying knowledge graphs, l. Nº de ref. del artículo: 132285064
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, UK, September ... Applications, incl. Internet/Web, and HCI)
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Reasoning Web : Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, Uk, September 5-9, 2016, Tutorial Lectures
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering : 12th International Summer School 2016, Aberdeen, UK, September
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Reasoning Web : Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, Uk, September 5-9, 2016, Tutorial Lectures
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Reasoning Web : Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, Uk, September 5-9, 2016, Tutorial Lectures
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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
Publicado por
Springer International Publishing, Springer International Publishing Feb 2017, 2017
ISBN 10: 3319494929
ISBN 13: 9783319494920
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -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 reuseontologies (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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. Nº de ref. del artículo: 9783319494920
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