Paper Info
Title
Literature mining of blood flow regulatory mechanisms for finding cross context relations
Abstract
In this paper we present an approach for finding relations between two concepts in existing literature. Relations can be manifested as simple causal relations, when one concept influences the other, or as more complex mutual relations that involve identifying common factors between the concepts. The presented approach is based on literature mining methods like document similarity clustering, keyword extraction and concept visualization. Using these methods, relations between literature dealing with thermoregulation and literature dealing with endothelium were found and papers that can be used for better understanding of temperature control mechanisms within the human blood flow control were identified.
Year
DOI
Venue
2011
10.1145/2023607.2023667
CompSysTech
Keywords
Field
DocType
document similarity clustering,human blood flow control,better understanding,literature mining method,complex mutual relation,keyword extraction,common factor,concept visualization,simple causal relation,temperature control mechanism,cross context relation,blood flow regulatory mechanism,blood flow,concept description,information,temperature control
Data mining,Information retrieval,Keyword extraction,Visualization,Causal relations,Computer science,Artificial intelligence,Natural language processing,Document similarity,Cluster analysis
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Maja Bračič Lotrič100.68
Bojan Cestnik2716262.57