DocumentCode
1758312
Title
An Empirical Study of Ontology-Based Multi-Document Summarization in Disaster Management
Author
Lei Li ; Tao Li
Author_Institution
Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
Volume
44
Issue
2
fYear
2014
fDate
Feb. 2014
Firstpage
162
Lastpage
171
Abstract
Domain ontology, as a conceptual model, provides a meaningful framework for semantic representation of textual information. In this paper, we explore the feasibility of using the ontology in solving multi-document summarization problems in the domain of disaster management. We provide an empirical study of different approaches in which the ontology has been used for summarization tasks. Extensive experiments on a collection of press releases relevant to Hurricane Wilma in 2005 demonstrate that ontology-based multi-document summarization methods outperform other baselines in terms of the summary quality.
Keywords
document handling; emergency management; ontologies (artificial intelligence); Hurricane Wilma; disaster management; domain ontology; ontology-based multidocument summarization; summarization tasks; summary quality; Disaster management; Educational institutions; Hurricanes; Ontologies; Power supplies; Semantics; Vectors; Disaster management; multi-document summarization; ontology; query expansion;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2216
Type
jour
DOI
10.1109/TSMCC.2013.2258335
Filename
6663703
Link To Document