Knowledge Engineering and Knowledge Management 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16-20, 2020, Proceedings / [electronic resource] :
edited by C. Maria Keet, Michel Dumontier.
- 1st ed. 2020.
- XII, 287 p. 87 illus., 53 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 12387 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 12387 .
Knowledge Engineering and Acquisition -- Ontology Engineering -- Semantic Web -- Web of Data -- Knowledge Management -- Knowledge representation -- Knowledge ecosystems -- Knowledge discovery -- Natural Language Processing -- Knowledge Graphs.
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.
9783030612443
10.1007/978-3-030-61244-3 doi
Artificial intelligence.
Artificial Intelligence.
Q334-342 TA347.A78
006.3
Knowledge Engineering and Acquisition -- Ontology Engineering -- Semantic Web -- Web of Data -- Knowledge Management -- Knowledge representation -- Knowledge ecosystems -- Knowledge discovery -- Natural Language Processing -- Knowledge Graphs.
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.
9783030612443
10.1007/978-3-030-61244-3 doi
Artificial intelligence.
Artificial Intelligence.
Q334-342 TA347.A78
006.3