2008 ConceptGraphbasedBiomedicalAuto

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Subject Headings: Automatic Summarization

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Abstract

One of the main problems in research on automatic summarization is the inaccurate semantic interpretation of the source. Using specific domain knowledge can considerably alleviate the problem. In this paper, we introduce an ontology-based extractive method for summarization. It is based on mapping the text to concepts and representing the document and its sentences as graphs. We have applied our approach to summarize biomedical literature, taking advantages of free resources as UMLS. Preliminary empirical results are presented and pending problems are identified.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 ConceptGraphbasedBiomedicalAutoPablo Gervás
Laura Plaza Morales
Alberto Díaz Esteban
Concept-graph based Biomedical Automatic Summarization Using Ontologies