Paper Info
Title
BioSemantic System: Applications of Structured Natural Language to Biological and Biochemical Research
Abstract
Recent advances and new technologies in biological and medical research have resulted in a rapid accumulation of enormous amounts and types of data and data analysis tools. Although most of these databases and tools are available through the internet and are easily accessible for users, they are highly heterogeneous making it difficult to integrate into efficient workflows. In this paper, we present a natural-language, object-based computing system, BioSemantic System (BSS), for seamlessly integrating these diverse bioinformatics databases and tools into efficient workflows that will increase the productivity of end-user researchers. Below, we present vocabulary, including nouns, verbs and adjectives as well as several examples of applications to biological and biomedical research problems.
Year
DOI
Venue
2008
10.1109/SUTC.2008.34
SUTC
Keywords
Field
DocType
efficient workflows,diverse bioinformatics databases,new technology,end-user researcher,data analysis tool,biomedical research problem,biochemical research,present vocabulary,structured natural language,enormous amount,medical research,biosemantic system,bioinformatics,database management systems,internet,biomedical research,biosensors,object oriented programming,computer science,productivity,natural language processing,usability,biochemistry,natural languages,semantic computing,noun,natural language,data analysis,relational databases
Data science,Object-oriented programming,Computer science,Natural language,Data type,Emerging technologies,Vocabulary,Workflow,Semantic computing,The Internet
Conference
ISBN
Citations 
PageRank 
978-0-7695-3158-8
2
0.47
References 
Authors
4
10
Name
Order
Citations
PageRank
David A. Hecht192.52
Rouh-mei Hu2123.92
Rong-ming Chen3256.28
Jong-Waye Ou420.47
Chao-Yen Hsu520.47
Haitao Gong6192.36
kalok ng72910.11
Han C. W. Hsiao818021.84
jeffrey j p tsai9989156.23
Phillip C. -Y. Sheu1093.98