Linked data for flood disaster
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Ralph Vincent Regalado
Defense Panel Member
Nathalie Rose Lim-Cheng
Danny Cheng
Abstract/Summary
In todays world, disasters have been increasing and improvements in the field of disaster management are needed to cope up with these changes. Many typhoons occur within the Philippines annually, thus its susceptible to major floods. Information about these typhoons are documented by news outlets and recorded in unstructured textual formats. To alleviate this kind of problem, this study proposes the utilization of information extraction to retrieve useful data contained within news articles and the creation of linked data to organize them into structures data that can be shared with other web resource. Finally, this program creates links with GeoNames and web portals of news outlets that would allow user to gain more information from those web portals. The proponents performed two testing one for the article classifier and another for information extraction. For article classification, the system was able to achieve an F-measure score of 80% and Accuracy of 83.33%. For information extraction, the system was able to achieve an F-measure score of 100% for typhoon name, 83.20% for affected area and 83.33% for typhoon properties.
Abstract Format
html
Language
English
Format
Accession Number
TU18529
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1v. various foliations : illustrations (some colored) ; 28 cm.
Keywords
Flood control--Philippines; Flood damage prevention; Disaster relief
Recommended Citation
Cortes, H. B., Manila, A. F., & Valdez, R. (2012). Linked data for flood disaster. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11050