Falcon-AO: Aligning Ontologies with Falcon
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Falcon-AO: Aligning Ontologies with Falcon

on

  • 2,237 views

Presentation given at K-CAP'05 Workshop on Integrating Ontologies. It describes Falcon-AO, an automatic ontology matching tool, which participates OAEI'2005.

Presentation given at K-CAP'05 Workshop on Integrating Ontologies. It describes Falcon-AO, an automatic ontology matching tool, which participates OAEI'2005.

Statistics

Views

Total Views
2,237
Views on SlideShare
2,235
Embed Views
2

Actions

Likes
1
Downloads
18
Comments
0

2 Embeds 2

http://www.slideshare.net 1
http://www.linkedin.com 1

Accessibility

Categories

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

Falcon-AO: Aligning Ontologies with Falcon Presentation Transcript

  • 1. Falcon-AO: Aligning Ontologies with Falcon
    • NingSheng Jian, Wei Hu, Gong Cheng, Yuzhong Qu
    • Department of Computer Science and Engineering
    • Southeast University, P. R. China
  • 2. Outline
    • What is Falcon-AO
    • How does Falcon-AO work
    • Results
    • Conclusion
    • Outlook
  • 3. What is Falcon
    • F inding, A ligning , L earning ontologies, and ultimately for C apturing knowledge by an ON tology-driven approach.
    A suit of methods and tools for the Semantic Web applications
  • 4. What is Falcon-AO
    • A ligning O ntologies with Falcon
    • An integration of two matchers
      • LMO – L inguistic M atching for O ntologies
      • GMO – G raph M atching for O ntologies
  • 5. LMO – L inguistic M atching for O ntologies
      • Entity Virtual Document (VD)
      • TermWeighting = TF * IDF
      • C osine S imilarity in VSM (Vector Space Model)
    • String Similarity (SS)
      • Edit Distance of Local Names
    • Document Similarity (DS)
    • LinguisticSimilarity = 0.2 * SS + 0.8 * DS
    Local Name Label Comment Neighbors’VD … Bag of terms Weighted
  • 6. GMO – G raph M atching for O ntologies
    • B ipartite G raph Model
    • Similarity Accumulation
  • 7. Architecture of Falcon-AO Linguistic Comparability & Structural Comparability
  • 8. Results Low High Linguistic Comparability 5s 1.00 1.00 1.00 #101 - #104 0.86 0.63 0.99 0.95 Average F-Measure 20s 60s 4s 63s Average Run Time 0.81 0.93 #301 - #304 0.60 0.71 #248 - #266 1.00 0.99 #221 - #247 0.95 0.96 #201 - #210 Average Recall Average Precision Test Cases
  • 9. Conclusion
    • Both linguistic and structural
    • Quickly with high linguistic comparability
    • External mapping as input
    • No lexical database
  • 10. Outlook
    • Very large ontologies
    • Lexical database
    • Many-to-many mapping
    • Measurement of comparability
  • 11.
    • Thank you.