Reasoning at scale (tutorial)

Jacopo Urbani

doi:10.1007/978-3-030-00338-8_9

Reasoning at scale (tutorial)

Jacopo Urbani^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

29 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Reasoning Web - Learning, Uncertainty, Streaming, and Scalability
Subtitle of host publication	14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures
Editors	Claudia d’Amato, Martin Theobald
Publisher	Springer/Verlag
Pages	227-235
Number of pages	9
ISBN (Electronic)	9783030003388
ISBN (Print)	9783030003371
DOIs	https://doi.org/10.1007/978-3-030-00338-8_9
Publication status	Published - 2018
Event	14th Reasoning Web Summer School, RW 2018 - Esch-sur-Alzette, Luxembourg Duration: 22 Sept 2018 → 26 Sept 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11078 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th Reasoning Web Summer School, RW 2018
Country/Territory	Luxembourg
City	Esch-sur-Alzette
Period	22/09/18 → 26/09/18

Access to Document

10.1007/978-3-030-00338-8_9

Reasoning at Scale (Tutorial)Final published version, 196 KBLicence: Article 25fa Dutch Copyright Act

Persistent URL (handle)

Copy link address

Cite this

Urbani, J. (2018). Reasoning at scale (tutorial). In C. d’Amato, & M. Theobald (Eds.), Reasoning Web - Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures (pp. 227-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11078 LNCS). Springer/Verlag. https://doi.org/10.1007/978-3-030-00338-8_9

Urbani, Jacopo. / Reasoning at scale (tutorial). Reasoning Web - Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures. editor / Claudia d’Amato ; Martin Theobald. Springer/Verlag, 2018. pp. 227-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0811c2bd7b0c4762b407f6a36a836b7a,

title = "Reasoning at scale (tutorial)",

abstract = "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.",

author = "Jacopo Urbani",

year = "2018",

doi = "10.1007/978-3-030-00338-8_9",

language = "English",

isbn = "9783030003371",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer/Verlag",

pages = "227--235",

editor = "Claudia d{\textquoteright}Amato and Martin Theobald",

booktitle = "Reasoning Web - Learning, Uncertainty, Streaming, and Scalability",

note = "14th Reasoning Web Summer School, RW 2018 ; Conference date: 22-09-2018 Through 26-09-2018",

}

Urbani, J 2018, Reasoning at scale (tutorial). in C d’Amato & M Theobald (eds), Reasoning Web - Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11078 LNCS, Springer/Verlag, pp. 227-235, 14th Reasoning Web Summer School, RW 2018, Esch-sur-Alzette, Luxembourg, 22/09/18. https://doi.org/10.1007/978-3-030-00338-8_9

Reasoning at scale (tutorial). / Urbani, Jacopo.
Reasoning Web - Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures. ed. / Claudia d’Amato; Martin Theobald. Springer/Verlag, 2018. p. 227-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11078 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Reasoning at scale (tutorial)

AU - Urbani, Jacopo

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85053916875&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053916875&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-00338-8_9

DO - 10.1007/978-3-030-00338-8_9

M3 - Conference contribution

AN - SCOPUS:85053916875

SN - 9783030003371

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 227

EP - 235

BT - Reasoning Web - Learning, Uncertainty, Streaming, and Scalability

A2 - d’Amato, Claudia

A2 - Theobald, Martin

PB - Springer/Verlag

T2 - 14th Reasoning Web Summer School, RW 2018

Y2 - 22 September 2018 through 26 September 2018

ER -

Urbani J. Reasoning at scale (tutorial). In d’Amato C, Theobald M, editors, Reasoning Web - Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures. Springer/Verlag. 2018. p. 227-235. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Aug 30. doi: 10.1007/978-3-030-00338-8_9

Reasoning at scale (tutorial)

Abstract

Publication series

Conference

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this