Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System
Author:
Affiliation:
1. ISTI, Consiglio Nazionale delle Ricerche, Pisa, Italy
2. SySMA Unit, IMT School for Advanced Studies, Lucca, Italy
Funder
MASTER - Multiple ASpects TrajEctoRy management and analysis
MOBIDATALAB
SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10227262.pdf?arnumber=10227262
Reference26 articles.
1. CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects
2. SeMiTri
3. Enriching Mobility Data with Linked Open Data
4. The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data
5. Supporting Semantic Data Enrichment at Scale
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1. Unveiling Urban and Human Mobility Dynamics through Semantic Trajectory Summarization;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24
2. Location-Based Service Insights: A Comprehensive Review of Data Mining Objects;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21
3. An Ontological Behavioral Modeling Approach With SHACL, SPARQL, and RDF Applied to Smart Grids;IEEE Access;2024
4. Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement;International Journal of Geographical Information Science;2023-11-29
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