1. Ontology Mapper: A Muti-Agent System for Knowledge Sharing
Suryakant Sansare , Urvi Shah
Department of Computer Science
UMBC.

2. Overview Introduction System Design Implementation Scenario
Related Work
Future Work

3. Introduction
Ontology is the semantic representation of concepts in a machine understandable form.
Need for mapping.
Use of Multi-Agent System for mapping.
Providing Services
Autonomous
Communication
Mapping of ontologies for “Branches of Science”

4. System Design Department agents in the University Domain.
Contain representative ontology
Provide Mapping Service
Communicate with peers
User-Agent interaction.
Forms of User Requests
Text-Ontology map
Ontology-Ontology map
Text map.
Agent-Agent interaction.

5. Implementation JADE (JAVA Agent Development Environment) Agents
GUIEvent driven
CyclicBehaviour for Receivers
REQUEST , INFORM ACL messages
Rainbow Classifier
Perl interface for classifier
DAML ontologies

6. Mapper Service Agent Platform (AP) ACL*REQUEST ACL*INFORM
BI agent
CS agent
* For Case 2 and Case 3 REQUEST and INFORM messages are repeated till complete results are obtained.
ACL*REQUEST
ACL*INFORM
search DF for other
agents
Ontology
Agent Platform (AP)
<daml>
</daml>
Directory Facilitator(DF)
Mapper Service

7. Related Work CAIMAN Takeda, Matsuzuka, & Taniguchi 2000
Exchanging relevant documents between geographically dispersed people in Communities of Interest.
Takeda, Matsuzuka, & Taniguchi 2000
performs collaborative document recommendations by finding related folders in users bookmarks.
Mitra, Wiederhold, & Kersten 2000
graph-based model for expressing ontology interdependencies is presented.
The mapping is performed manually

8. Future Work Integration with the ITTalks project at UMBC
Framework can be expanded to span across various universities and also business organizations
The agents can cache results and inferences can be drawn for future queries.