國立高雄大學圖資館 |

Language: English

Back

Reasoning web. declarative artificial intelligence17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reasoning web. declarative artificial intelligenceedited by Mantas Simkus, Ivan Varzinczak.
Reminder of title:	17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures /
other author:	Simkus, Mantas.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	ix, 185 p. :ill. (some col.), digital ;24 cm.
Notes:	"As a result of the COVID-19 pandemic, Declarative AI 2021 was held as an online event"--Preface.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-030-95481-9
ISBN:	9783030954819$q(electronic bk.)

Reasoning web. declarative artificial intelligence17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures /
Reasoning web. declarative artificial intelligence17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures /[electronic resource] :edited by Mantas Simkus, Ivan Varzinczak. - Cham :Springer International Publishing :2022. - ix, 185 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,131000302-9743 ;. - Lecture notes in computer science ;4891..

"As a result of the COVID-19 pandemic, Declarative AI 2021 was held as an online event"--Preface.

Foundations of Graph Path Query Languages -- On Combining Ontologies and Rules -- Modelling Symbolic Knowledge using Neural Representations -- Mining the Semantic Web with Machine Learning: main issues that need to be known -- Temporal ASP: from logical foundations to practical use with telingo -- A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs -- Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis.

The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.

ISBN: 9783030954819$q(electronic bk.)

Standard No.: 10.1007/978-3-030-95481-9doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334 / .S86 2021

Dewey Class. No.: 006.3

Reasoning web. declarative artificial intelligence17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures /
LDR:03063nmm a2200361 a 4500 001 619038
003 DE-He213
005 20220131125151.0
006 m d
007 cr nn 008maaau
008 221103s2022 sz s 0 eng d
020 $a 9783030954819$q(electronic bk.)
020 $a 9783030954802$q(paper)
024 7 $a 10.1007/978-3-030-95481-9 $2 doi
035 $a 978-3-030-95481-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334 $b .S86 2021
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .S955 2021
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Reasoning web. declarative artificial intelligence $h [electronic resource] : $b 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures / $c edited by Mantas Simkus, Ivan Varzinczak.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a ix, 185 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13100
490 1 $a Information systems and applications, incl. internet/web, and HCI
500 $a "As a result of the COVID-19 pandemic, Declarative AI 2021 was held as an online event"--Preface.
505 0 $a Foundations of Graph Path Query Languages -- On Combining Ontologies and Rules -- Modelling Symbolic Knowledge using Neural Representations -- Mining the Semantic Web with Machine Learning: main issues that need to be known -- Temporal ASP: from logical foundations to practical use with telingo -- A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs -- Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis.
520 $a The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Knowledge Based Systems. $3 913337
650 2 4 $a Mathematical Logic and Foundations. $3 274479
700 1 $a Simkus, Mantas. $3 919095
700 1 $a Varzinczak, Ivan. $3 919096
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 822022
856 4 0 $u https://doi.org/10.1007/978-3-030-95481-9
950 $a Computer Science (SpringerNature-11645)