NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Yun Peng, Y Zou, X Luan, Nenad Ivezic, Albert T. Jones
Abstract
We describe a research project on resolving semantic differences for multi-agent systems (MAS) in electronic commerce. The approach can be characterized as follows: (1) agents in a MAS may have their own specific ontologies defined on top of a shared base ontology; (2) concepts in these ontologies are represented as frame-like structures based on DAML+OIL language; (3) the semantic differences between agents are resolved at runtime through inter-agent communication; and (4) the resolution is viewed as an abductive inference process, and thus necessarily involves approximation reasoning.
Proceedings Title
Proceedings of the NASA Workshop on Radical Agents
Peng, Y.
, Zou, Y.
, Luan, X.
, Ivezic, N.
and Jones, A.
(2003),
Semantic Resolution for E-Commerce, Proceedings of the NASA Workshop on Radical Agents, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822063
(Accessed October 16, 2025)