Reasoning at scale (tutorial)

Jacopo Urbani*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


This tutorial gives an overview of current methods for performing reasoning on very large knowledge bases. The first part of the lectures is dedicated to an introduction of the problem and of related technologies. Then, the tutorial continues discussing the state-of-the-art for reasoning on very large inputs with particular emphasis on the strengths and weaknesses of current approaches. Finally, the tutorial concludes with an outline of some of the most important research directions in this field.

Original languageEnglish
Title of host publicationReasoning Web - Learning, Uncertainty, Streaming, and Scalability
Subtitle of host publication14th International Summer School 2018, Tutorial Lectures
EditorsClaudia d’Amato, Martin Theobald
Number of pages9
ISBN (Electronic)9783030003388
ISBN (Print)9783030003371
Publication statusPublished - 2018
Event14th Reasoning Web Summer School, RW 2018 - Esch-sur-Alzette, Luxembourg
Duration: 22 Sep 201826 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11078 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th Reasoning Web Summer School, RW 2018


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