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020 _a9783030612443
_9978-3-030-61244-3
024 7 _a10.1007/978-3-030-61244-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aKnowledge Engineering and Knowledge Management
_h[electronic resource] :
_b22nd International Conference, EKAW 2020, Bolzano, Italy, September 16-20, 2020, Proceedings /
_cedited by C. Maria Keet, Michel Dumontier.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXII, 287 p. 87 illus., 53 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12387
505 0 _aKnowledge Engineering and Acquisition -- Ontology Engineering -- Semantic Web -- Web of Data -- Knowledge Management -- Knowledge representation -- Knowledge ecosystems -- Knowledge discovery -- Natural Language Processing -- Knowledge Graphs.
520 _aThis book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The 12 full papers presented together with 7 were carefully reviewed and selected from 104 submissions. The special theme of EKAW 2020 is "Ethical and Trustworthy Knowledge Engineering". The papers cover all aspects of eliciting, acquiring, discovering, modeling, and managing knowledge and construction of knowledge-intensive systems.
650 0 _aArtificial intelligence.
_93407
650 1 4 _aArtificial Intelligence.
_93407
700 1 _aKeet, C. Maria.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_988314
700 1 _aDumontier, Michel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_988315
710 2 _aSpringerLink (Online service)
_988318
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030612436
776 0 8 _iPrinted edition:
_z9783030612450
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12387
_988319
856 4 0 _uhttps://doi.org/10.1007/978-3-030-61244-3
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