Introduction into meta data model 2010-07-02
Upcoming SlideShare
Loading in...5
×
 

Introduction into meta data model 2010-07-02

on

  • 391 views

 

Statistics

Views

Total Views
391
Views on SlideShare
391
Embed Views
0

Actions

Likes
0
Downloads
0
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Introduction into meta data model 2010-07-02 Introduction into meta data model 2010-07-02 Presentation Transcript

  • Introduction
    • Meta-Data Model for Ontology Mapping Management
  • 1. Character Phase (1/2)
    • Target and the source ontology are identified:
    • Ontology Name: a label for the ontology Ontology on Animals
    • Ontology Source: Where can I find the ontology file? www.wikipedia.org/animal.owl
    • Ontology PSI: Unique identifier
    • www.ontologies.org/animal
    • Ontology creation date: 2010-05-04
    • Ontology author: name:Hendrik, email: [email_address]
  • 1. Character Phase (2/2)
    • Target and the source ontology are characterizes:
    • Ontology language: Format of the ontology OWL DL, RDF
    • Ontology size: How big is the ontology 5 classes, 10 individuals
    • Ontology style: What does the ontology look like deep hierarchy , flat hierarchy, network
  • 2. Matching Phase (1/2)
    • Describes the method used to identify the candidates:
    • Method: How were the candidates found? manual selection or automated algorithm
    • Date of selection: When was selection performed 2010-05-06
    • Describes the manual selection :
    • Selectors: Who did the selections? Hendrik, Andre, Declan (contact details)
    • Selectors background: relevant details about selectors Selectors had experience in Semantic Web
    • Selection process: details about the selection process Selectors analyzed all ontology elements Selectors group equal elements based on name similarity
  • 2. Matching Phase(2/2)
    • Describes the automated matching:
    • Algorithm name: human-readable label String comparison
    • Algorithm implementation: org.jena.stringComparsion
    • Selection process: details of selection process Matching based on string similarity
  • 3. Mapping Phase (2/2)
    • Describes the mapping context:
    • Mapping objective: What is the purpose/aim of the mappings? Enable knowledge exchange between ontologies
    • Mapping requirements: What rules have to be followed? Do not map product ids
    • Mapping context: What is the context? Mapping is created for Wikipedia.de
    • Mapping is used for a demonstrator
    • Describes the mapping process :
    • Mapping process: details about the mapping process Confirm mapping with similarity rating of > 0.5 %
    • Date of mapping: When was selection performed 2010-05-06
  • 4. Execution Phase
    • Describes the application of the mapping:
    • Mapping format: INRIA RDF
    • Mapping users: Known users of the mappings Hendrik Thomas
    • Application using mapping: Known application which used the mappings Wikipedia.de/mapMe
  • 5. Management Phase
    • Describes the sharing of the mapping:
    • Source of the mapping file: www.mapme.org/m.rdf
    • Hashkey: unique key of mappings 23434534646456456
    • LastChange: 2010-06-03
    • Change notification: www.mapme.org/changes.rss