1. BY
K.RAJASEKHAR REDDY
(08Q61A0528)

2. Contents:
 Introduction
 Wrappers
 Clustering
 System Description
 Working
 Types
 Advantages and Disadvantages
 Conclusion

3. Introduction:
STAVIES is a system for
Information Extraction through
Automatic Web Wrapper Using
clustering Techniques.

4. STAVIES is used in:
 Automatic Information Discovery.
 Extraction of structured web data.

5. WRAPPERS
 Piece of software to extract the
useful information from web data
sources.
 Data extracted is referred as Structural
Tokens.

6. Categories of Wrappers:
 Site Specific:
Extracts information from a web
pages
or family of web pages.
 Generic wrappers:
Can be applied to almost any page
regardless of the structures.

7. CLUSTERING
Process of recognizing input data
set in such a way that data points in
same cluster are similar other than
in different clusters.

8. Quality Evaluation Measures:
 Cluster Compactness:
Evaluates how the subsets of input are redistributed
by clustering system, compared with whole input set.
 Cluster Separation:
Indicates overall dissimilarity among the output
clusters.

9. System Description
 Two modules
1.Transformation module
2.Extraction module

10. Phases:
 Preparation Phase:
1.Validation correction and XHTML
generation.
2.Tree transformation and Terminal
node selecton

11. • Segmentation Phase:
1. Nodes Comparison.
2. Hierarchical clustering.
3. Cluster Evaluation and Target area
Discover.
4. Boundary selection.

12. • Information Retrieval Phase:
1. Information Extraction component.

13. Working:

14. Experimental Results:

15. Types:
 OMINI
 MDR

16. Advantages:
 Executes in less than 0.4 sec.
 No human assistance is required.
 High performance.

17. Disadvantage:
 Hard to implement in free texts and
non-template pages.

18. Conclusion
 STAVIES saves precious time and effort.
 Tested successfully in more than 63,000
HTML pages from 50 different web
data sources.

19. THANK YOU.

20. Queries????