UMBC ebiquity

UMBC OntoMapper: A Tool For Mapping Between Two Ontologies

Status: Past project

Project Description:

Forcing all communicating agents to share a common ontology is infeasible. A group of people with similar interests usually has its own organizational schemes for documents. This organization may be in the form of an ontology. Different agents may define very different ontologies, and the semantics for the same terms may be very different in their ontologies. A mapping from one agent's ontology to another agent's ontology is required to facilitate communication between agents.

This project develops a tool for automatic mapping between concepts of two ontologies. We use a probabilistic approach for ontology mapping by using explicit information in the form of documents assigned to individual concepts. This approach combines DAML+OIL (for ontology specification), IR text classification techniques (for raw similarity scores between concepts from each ontology) and Bayesian reasoning (for mapping generation). User specified landmarks are used to improve accuracy and efficiency.

Start Date: September 2001

End Date: August 2002

Faculty:
Yun Peng

Students:
Zhongli Ding
Sushama Prasad

Sponsors:
DARPA

 

There is 1 associated publication:  Hide the list...

1 Refereed Publication

2002

1. Sushama Prasad et al., "Using Explicit Information To Map Between Two Ontologies", InProceedings, AAMAS 2002 Workshop on Ontologies and Agent Systems, July 2002, 2426 downloads.

 

There are 0 associated resources:  Hide the list...

 

Research Areas:
 Knowledge Representation and Reasoning
 Semantic Web