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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

  • Kartonierter Einband
  • 252 Seiten
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This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in Sep... Weiterlesen
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Beschreibung

This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018.

The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.




Made for students, researchers and practitioners interested in Knowledge Graphs, Question Answering, and Semantic Web

Thoroughly revised tutorials cover logical foundations for constructing and querying knowledge graphs, linked data, semantics, fuzzy RDF and OWL knowledge bases

Original, readable and useful lecture notes



Autorentext
Since December 2016, Claudia d'Amato is in tenure track for associate professorship in Computer Science at the University of Bari. She obtained the Italian Habilitation for the functions of Associate Professor for the Scientific Sector 01/B1 Informatics on January 29th, 2014, (Application: round 2012). Before she has been appointed as assistant professor at the University of Bari on January 2016 and I have been research fellow at the University of Bari since May 2007 to December 2015. 

Martin Theobald (born 1976) has been appointed as a Professor of Computer Science with a focus on Big Data by the Faculty of Science, Technology and Communication (FSTC) at the University of Luxembourg in February 2017. 

Klappentext

The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently  received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.




Inhalt
Practical Normative Reasoning with Defeasible Deontic Logic.- Efficient SPARQL Queries on Very Large Knowledge Graphs.- A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases.- Cold-start Knowledge Base Population using Ontology-based Information Extraction with Conditional Random Fields.- Machine Learning with and for Knowledge Graphs.- Rule Induction and Reasoning over Knowledge Graphs.- Storing and Querying Semantic Data in the Cloud.- Engineering of Web Stream Processing Applications.- Reasoning at Scale.

Produktinformationen

Titel: Reasoning Web. Learning, Uncertainty, Streaming, and Scalability
Untertitel: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22-26, 2018, Tutorial Lectures
Editor:
EAN: 9783030003371
ISBN: 303000337X
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Informatik
Anzahl Seiten: 252
Gewicht: 388g
Größe: H235mm x B155mm x T13mm
Jahr: 2018
Untertitel: Englisch
Auflage: 1st ed. 2018

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