| Author(s): |
Boonserm Kulvatunyou; Nenad Ivezic; Albert W. Jones; Yun Peng; Zhongli Ding; Rong Pan; Yang Yu; Hyunbo Cho; |
| Title: |
A Probabilistic Framework for Semantic Similarity and Ontology Mapping |
| Published: |
April 01, 2007 |
| Abstract: |
We propose a probabilistic framework to address uncertainty in ontology-based semantic integration and interopera-tion. This framework consists of three main components: 1) BayesOWL that translates an OWL ontology to a Bayes-ian network, 2) SLBN (Semantically Linked Bayesian Networks) that support reasoning across translated BNs, and 3) a Learner that learns from the web the probabilities needed by the other modules. This framework expands the semantic web and can serve as a theoretical basis for solving real world semantic integration problems. |
| Proceedings: |
Proceedings of the 2007 Industrial Engineering Research Conference |
| Location: |
Orlando, FL |
| Dates: |
May 7-12, 2007 |
| Keywords: |
Bayesian networks;integration;ontology;Semantic web;uncertainty |
| Research Areas: |
Ontologies, Manufacturing |
| PDF version: |
 Click here to retrieve PDF version of paper (150KB) |
