Paper Info
Title
Semantically Enriched Literature Search Combining Text Mining, QSPR and Ontologies in Scientific Workflows
Abstract
This presentation describes a novel combination of text mining and quantitative structure-property relationships (QSPR) of small molecules, where text-mined ChEBI entries were retrieved by combining Europe PMC RESTful APIs in scientific workflows and matched with QSPR predictions from machine learning. Described applications include metabolomics data integration, experimental design, historical studies and business intelligence.
Year
DOI
Venue
2018
10.1109/eScience.2018.00057
2018 IEEE 14th International Conference on e-Science (e-Science)
Keywords
Field
DocType
text mining,bibliometrics,QSPR,ontologies,scientific workflows
Ontology (information science),Data integration,Quantitative structure–activity relationship,Data mining,Text mining,Information retrieval,Computer science,Bibliometrics,Business intelligence,Workflow
Conference
ISSN
ISBN
Citations 
2325-372X
978-1-5386-9157-1
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Magnus Palmblad1174.44