Semantic Fusion with Deep Learning and Formal Ontologies for Evaluation of Policies and Initiatives in the Smart City Domain
Decision makers and policy analysts at different administrative levels often lack a holistic view of the problem as there are semantic variations in policy documents due to domain-specific content. For example, smart city initiatives are derived from national and international initiatives which may...
Saved in:
Main Authors: | Nil Kilicay-Ergin, Adrian S. Barb |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/108e596e3d4b41b189613419b941c4d6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Formal Ontologies, Linked Data, and TEI Semantics
by: Fabio Ciotti, et al.
Published: (2016) -
Automatic Ontology-Based Model Evolution for Learning Changes in Dynamic Environments
by: Roua Jabla, et al.
Published: (2021) -
A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
by: Kwang-Jin Kwak, et al.
Published: (2021) -
Adding Semantics to Electronic Business Documents Exchanged in Collaborative Commerce Relations
by: Rico,Mariela, et al.
Published: (2009) -
Hierarchical Concept Learning by Fuzzy Semantic Cells
by: Linna Zhu, et al.
Published: (2021)