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SIGIR
2010
ACM

Ontology-enriched multi-document summarization in disaster management

11 years 2 days ago
Ontology-enriched multi-document summarization in disaster management
In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summarization results. OMS first maps the sentences of input documents onto an ontology, then links the given query to a specific node in the ontology, and finally extracts the summary from the sentences in the subtree rooted at the query node. By using the domain-related ontology, OMS can better capture the semantic relevance between the query and the sentences, and thus lead to better summarization results. As a byproduct, the final summary generated by OMS can be represented as a tree showing the hierarchical relationships of the extracted sentences. Evaluation results on the collection of press releases by Miami-Dade County Department of Emergency Management during Hurricane Wilma in 2005 demonstrate the efficacy of OMS. Categories and Subject Descriptors: H.3.3[Information Storage and Retrieval]: Information Se...
Lei Li, Dingding Wang, Chao Shen, Tao Li
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where SIGIR
Authors Lei Li, Dingding Wang, Chao Shen, Tao Li
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