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...

• Type: Conference
• Year: 2010
• Where: SIGIR
• Authors: Lei Li, Dingding Wang, Chao Shen, Tao Li
• Keywords: Information Technology, Ontology, Query Node, SIGIR 2010, Ulti-document Summarization