國立高雄大學圖資館 |

Language: English

Back

Reasoning webexplainable artificial ...

(1998 :)

Reasoning webexplainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reasoning webedited by Markus Krotzsch, Daria Stepanova.
Reminder of title:	explainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures /
other author:	Krotzsch, Markus.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 283 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Semantic WebCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-31423-1
ISBN:	9783030314231$q(electronic bk.)

Reasoning webexplainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures /
Reasoning webexplainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures /[electronic resource] :edited by Markus Krotzsch, Daria Stepanova. - Cham :Springer International Publishing :2019. - xi, 283 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118100302-9743 ;. - Lecture notes in computer science ;4891..

Classical Algorithms for Reasoning and Explanation in Description Logics -- Explanation-Friendly Query Answering Under Uncertainty -- Provenance in Databases: Principles and Applications -- Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases -- Explaining Data with Formal Concept Analysis -- Logic-based Learning of Answer Set Programs -- Constraint Learning: An Appetizer -- A Modest Markov Automata Tutorial -- Explainable AI Planning (XAIP): Overview and the Case of Contrastive.

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.

ISBN: 9783030314231$q(electronic bk.)

Standard No.: 10.1007/978-3-030-31423-1doiSubjects--Topical Terms:

384472
Semantic Web
--Congresses.

LC Class. No.: TK5105.88815 / .S85 2019

Dewey Class. No.: 025.0427

Reasoning webexplainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures /
LDR:02882nmm a2200361 a 4500 001 566312
003 DE-He213
005 20190918021104.0
006 m d
007 cr nn 008maaau
008 200429s2019 gw s 0 eng d
020 $a 9783030314231$q(electronic bk.)
020 $a 9783030314224$q(paper)
024 7 $a 10.1007/978-3-030-31423-1 $2 doi
035 $a 978-3-030-31423-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.88815 $b .S85 2019
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a UMT $2 thema
082 0 4 $a 025.0427 $2 23
090 $a TK5105.88815 $b .S955 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Reasoning web $h [electronic resource] : $b explainable artificial intelligence : 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019 : tutorial lectures / $c edited by Markus Krotzsch, Daria Stepanova.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 283 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11810
490 1 $a Information systems and applications, incl. internet/web, and HCI
505 0 $a Classical Algorithms for Reasoning and Explanation in Description Logics -- Explanation-Friendly Query Answering Under Uncertainty -- Provenance in Databases: Principles and Applications -- Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases -- Explaining Data with Formal Concept Analysis -- Logic-based Learning of Answer Set Programs -- Constraint Learning: An Appetizer -- A Modest Markov Automata Tutorial -- Explainable AI Planning (XAIP): Overview and the Case of Contrastive.
520 $a 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.
650 0 $a Semantic Web $v Congresses. $3 384472
650 0 $a Semantic computing $v Congresses. $3 384583
650 1 4 $a Database Management. $3 273994
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 275283
650 2 4 $a Mathematical Logic and Formal Languages. $3 275383
700 1 $a Krotzsch, Markus. $3 573062
700 1 $a Stepanova, Daria. $3 851926
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
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/10.1007/978-3-030-31423-1
950 $a Computer Science (Springer-11645)