Name
Title | ||
|---|---|---|
A framework of NLP based information tracking and related knowledge organizing with topic maps |
Abstract | ||
|---|---|---|
This paper presents a computational framework for information extraction and aggregation which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We introduce a simple statistical information extraction technique for summarizing the document into a predefined structure. We apply the topic maps approach as a semantic layer in aggregating and organizing the extracted information for smart access. In addition, this paper also carries out a case study on disease dispersion domain using the proposed framework. |
Year | Venue | Keywords |
|---|---|---|
2007 | NLDB | information resource,computational framework,disease dispersion domain,related knowledge,case study,information tracking,natural disaster,proposed framework,simple statistical information extraction,predefined structure,disease dispersion,topic map,information extraction,topic maps |
Field | DocType | Volume |
Data mining,Spatial Visualization,Information retrieval,Computer science,Natural disaster,Information extraction,Artificial intelligence,Natural language processing,Relationship extraction,Topic Maps,The Internet | Conference | 4592 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-73350-7 | 4 |
PageRank | References | Authors |
0.41 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| asanee kawtrakul | 1 | 161 | 25.90 |
| chaiyakorn yingsaeree | 2 | 14 | 2.44 |
| Frederic Andres | 3 | 51 | 12.80 |