Fuzzy Ontology
AnsweredI want to develop a fuzzy Ontology in Protege 5.5.0. After including the FuzzyDL reasoner in Protege plugin folder I got the FuzzyOWL tab but it's not working properly. I have few questions:
1) How can I generate a fuzzy ontology in Protege?
2) How can I use "gurobipy" to develop a fuzzy model from an Ontology using Python?
3) Which version of Gurobi Optimizer will be useful for fuzzy ontology development?
Thanks in advance.
-
Official comment
This post is more than three years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum. Or why not try our AI Gurobot?. -
I am not overly familiar with Protege or fuzzy ontology. However, let's see if I can point you in the right direction:
1) How can I generate a fuzzy ontology in Protege?
It looks like Protege is used to build ontology-based applications. To learn more about using Protege, I recommend checking out their website. It also seems that they have a web-based version as well. Moreover, it may be useful to check out the discussion here: How to maintain protégé 5.0.0 beta 17, FUZZYOWL2 and gurobi ?
2) How can I use "gurobipy" to develop a fuzzy model from an Ontology using Python?
Gurobi (and gurobipy) is a mathematical optimization solver. To use Gurobi/gurobipy, you will need to write out the math model that solves the fuzzy ontology problem. This includes defining one or more objectives, constraints, and variables. To help you get started, it may be useful to check out our the Python I: Introduction to Modeling with Python webinar and the Example page.
3) Which version of Gurobi Optimizer will be useful for fuzzy ontology development?
I recommend using the latest version of Gurobi Optimizer. To download, please visit the Gurobi Download Center.
0
Post is closed for comments.
Comments
2 comments