Knowledge Engineering and Knowledge Management [electronic resource] : 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 12387Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XII, 287 p. 87 illus., 53 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030612443

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Knowledge Engineering and Acquisition -- Ontology Engineering -- Semantic Web -- Web of Data -- Knowledge Management -- Knowledge representation -- Knowledge ecosystems -- Knowledge discovery -- Natural Language Processing -- Knowledge Graphs.

In: Springer Nature eBookSummary: This 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.

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This 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.

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