An ontology approach to represent and extract process synthesis knowledge in high-throughput optimization

Antonis Kokossis, Franjo Cecelja, Claudia Labrador-Darder, Patrick Linke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
Original languageEnglish
Title of host publicationAIChE100 - 2008 AIChE Annual Meeting, Conference Proceedings
Publication statusPublished - 1 Dec 2008
Event2008 AIChE Annual Meeting, AIChE 100 - Philadelphia, PA, United States
Duration: 16 Nov 200821 Nov 2008

Publication series

NameAIChE Annual Meeting, Conference Proceedings

Other

Other2008 AIChE Annual Meeting, AIChE 100
CountryUnited States
CityPhiladelphia, PA
Period16/11/0821/11/08

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Cite this

Kokossis, A., Cecelja, F., Labrador-Darder, C., & Linke, P. (2008). An ontology approach to represent and extract process synthesis knowledge in high-throughput optimization. In AIChE100 - 2008 AIChE Annual Meeting, Conference Proceedings (AIChE Annual Meeting, Conference Proceedings).