Clustering cliques for graph-based summarization of the biomedical research literature

• Published in: BMC bioinformatics Vol. 14; no. 1; p. 182
• Main Authors: Zhang, Han, Fiszman, Marcelo, Shin, Dongwook, Wilkowski, Bartlomiej, Rindflesch, Thomas C
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07.06.2013; BioMed Central
• Subjects: Algorithms; Biomedical Research; Cluster Analysis; Computational biology; Computational linguistics; Data mining; Data Mining - methods; Electronic data processing; Evaluation; Language processing; Medical Subject Headings; Methods; Natural language interfaces; PubMed; Semantics; Denmark; United States; China

Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts). SemRep is used to extract semantic...