EconPapers    
Economics at your fingertips  
 

Automated Freight Brokerage Based on Multi-Agent Semantic Web Service Composition

Arūnas Miliauskas ()
Additional contact information
Arūnas Miliauskas: Vilnius Gediminas Technical University

Chapter Chapter 7 in Development of Smart Context-Aware Services for Cargo Transportation, 2022, pp 141-155 from Springer

Abstract: Abstract Semantic web technologies and multi-agent system are expected to affect brokers’ role in freight transportation. Services provided by freight brokers can be seen as automated service composition problems. This problem is popular, and many research results published. Major elements of this problem are described and presented. The service composition in the freight domain resulted in multiple papers with a strong focus on optimization. By focusing on interoperability the ontology-based approach is taken and based on this baseline extensible solution architecture is presented.

Keywords: Web service composition; Ontology; Freight forwarding; Freight brokerage; Multi-agent system; Software architecture (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-07199-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031071997

DOI: 10.1007/978-3-031-07199-7_7

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-031-07199-7_7