Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures

AvClaudia d’Amato,Martin Theobald

Häftad, Engelska, 2018

Del 11078 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-08-30
Mått:155 x 235 x 14 mm
Vikt:388 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:237
Förlag:Springer Nature Switzerland AG
ISBN:9783030003371

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.