Paper Info
Title
Linking and querying genomic datasets using natural language
Abstract
The association of experimental data with domain knowledge expressed in ontologies facilitates information aggregation, meaningful querying and knowledge discovery to aid in the process of analyzing the extensive amount of interconnected data available for genome projects. TcruziKB is an ontology-driven problem solving system to describe and provide access to the data available for a traditional genome database for the parasite Trypanosoma Cruzi. The problem solving environment enables many advanced search and information presentation features that enable complex queries that would be difficult, if not impossible, to execute without semantic enhancements. However the problem solving features do not only improve the quality of the information retrieved but also reduces the strain on the user by improving usability over the standard system.
Year
DOI
Venue
2012
10.1109/BIBM.2012.6392724
BIBM
Keywords
DocType
Citations 
querying genomic,genome project,information presentation feature,advanced search,knowledge discovery,ontologies facilitates information aggregation,standard system,domain knowledge,ontology-driven problem,natural language,experimental data,traditional genome database
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
I. Budak Arpinar155634.01
Bobby McKnight2111.30