Index

• Introduction
• What is ontology mapping?
• System Architecture
• Graphical User-Interface
• Supporting and Used technologies
• Software
• Links
• Authors
• Projects
• Acknowledgments

Introduction

Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.

What is ontology mapping?

Ontology mapping is the process whereby semantic relations are defined between two ontologies at conceptual level which in turn are applied at data level transforming source ontology instances into target ontology instances. Ontology mapping faces new challenges in the context of Semantic Web, especially concerning heterogeneity, dynamics, distribution and limitations on representation technology. The MAFRA – Mapping FRAmework is a conceptual description of the ontology mapping process, in which its phases are identified and described.

System Architecture

MAFRA Toolkit implements a specific architecture for MAFRA. The architecture of the system is based on the notion of Service which represents not only the system transformation capabilities, but also the expertise in the manipulation of specific semantic relations. In fact, the overall ontology mapping process depends on both the ontologies contents and the transformations available in the system.

Independent transformation modules called Services provide their specific know-how to the MAFRA Core Modules, through the MAFRA Service Interface API.

Services are responsible for many different tasks in the ontology mapping process: Similarity Measure, Automatic Bridging, Validation, Transformation, Negotiation and Evolution.

Graphical User-Interface

I think these instructions may be helpful to specify and customize mappings using the provided GUI.
Please give us feed back.

• Path is defined through the combination of mouse and CTRL key.
  • click in each entity of the path in the order it is in the path (e.g. concept1->property1->concept2->attribute1)
  • ensure only the first entity in the path is select when you select the second
  • using SHIFT key + drag&drop into the bridge (a line is drawn accordingly)
• Conditions, extensional specification, literals, file paths and boolean arguments are set in the tree-like (lower) view
  • open the tree-like view where you want to drop the path before start the path selection
  • paths are dragged from graphic view into the tree-like view
  • (do not select the last entity in the path. do it only when you start the drag&drop)
  • use CTRL key + drag&drop the path into the tree-like view

Supporting and Used Technologies

Software

CVS access

• Project members CVSROOT: ":ext:YOUR_USER_NAME@mafra-toolkit.cvs.sourceforge.net:/cvsroot/mafra-toolkit"
• Anonymous CVSROOT: ":pserver:anonymous@mafra-toolkit.cvs.sourceforge.net:/cvsroot/mafra-toolkit"

Releases

• MAFRA Toolkit 0.2

Links

• Browse CVS

• Documentation

  • Semantic Web Complex Ontology Mapping

• Project Administration Page

Authors

• Nuno Silva
  • SBO
  • Architecture
  • Manual Semantic Bridging
  • Transformation engine
  • GUI
• Zoltan Varady
  • Transformation engine
• Frank Westerhausen
  • GUI
• Oliver Fodor
  • Lift & Normalization package
• Pedro Vieira Silva
  • GUI
• Paulo Maio
  • Alignment algorithms
  • Automatic semantic bridging
  • Negotiation

Projects

Here are some projects where MAFRA Toolkit has been or is being applied.

• EDGAR - Exploiting Ontology Engineering Process Information for Semi-Automatic Knowledge Interoperability

• SANSKI - Semi-automatic Negotiation Service for Knowledge Interoperability

• ONTOMAPPER - Ontology Automatic Mapping

• Harmonise

• Artemis

• Satine

Acknowledgemnts

Knowledge Engineering and Decision Support Research Group Polytechnic Institute of Porto Porto - Portugal

Research Center for Information Technologies Karlsruhe - Germany

Last update: 02-01-2006 15:45:56 -0000