loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
10th IEEE International Symposium on Software Metrics (METRICS'04)
Measuring XML Document Similarity: A Case Study for Evaluating Information Extraction Systems
Chicago, Illinois
September 11-September 17
ISBN: 0-7695-2129-0
ASCII Text
x 
 
Gerardo Canfora, Luigi Cerulo, Rita Scognamiglio, "Measuring XML Document Similarity: A Case Study for Evaluating Information Extraction Systems," Software Metrics, IEEE International Symposium on, pp. 36-45, 10th IEEE International Symposium on Software Metrics (METRICS'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/METRIC.2004.1357889,
author = {Gerardo Canfora and Luigi Cerulo and Rita Scognamiglio},
title = {Measuring XML Document Similarity: A Case Study for Evaluating Information Extraction Systems},
journal ={Software Metrics, IEEE International Symposium on},
volume = {0},
year = {2004},
issn = {1530-1435},
pages = {36-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/METRIC.2004.1357889},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Metrics, IEEE International Symposium on
TI - Measuring XML Document Similarity: A Case Study for Evaluating Information Extraction Systems
SN - 1530-1435
SP36
EP45
A1 - Gerardo Canfora,
A1 - Luigi Cerulo,
A1 - Rita Scognamiglio,
PY - 2004
KW - null
VL - 0
JA - Software Metrics, IEEE International Symposium on
ER -
 
Gerardo Canfora, University of Sannio, Italy
Luigi Cerulo, University of Sannio, Italy
Rita Scognamiglio, University of Sannio, Italy
Measuring similarity between trees, such as XML structured information, has an important role in many applications, and in particular in the evaluation of the effectiveness of Information Extraction Systems (IES). In this paper we present an experience in evaluating the effectiveness of IES in terms of extraction and adaptation effectiveness. In the first part of the paper a similarity measure between XML trees based on a common sub tree detection algorithm is introduced; then, a case study aimed at the evaluation of the effectiveness of a group of IES is presented as an example of application.
Citation:
Gerardo Canfora, Luigi Cerulo, Rita Scognamiglio, "Measuring XML Document Similarity: A Case Study for Evaluating Information Extraction Systems," metrics, pp.36-45, 10th IEEE International Symposium on Software Metrics (METRICS'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.