TY - GEN
T1 - Automating the biological data collection process with agents
AU - Lacroix, Zoé
AU - Parekh, Kaushal
AU - Davulcu, Hasan
AU - Ramakrishnan, I. V.
AU - Julasana, Nikeeta
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Scientists spend significant amount of time accessing Web resources, extracting information of interest, filtering, and integrating relevant data from multiple heterogeneous Web sites to support their data collection needs. This tedious collection process is typically performed manually as available technology does not allow scientists to explore and control their data collection process step by step. However, most of the process can be automated. While scripts (e.g., Perl) may be written to retrieve, parse and extract data of interest, many scientists are not programmers and do not have IT support. In contrast we propose an approach based on Personal Information Agents (PIA) that provide scientists a user-friendly mechanism to automate their data collection processes without the need of any programming. This approach is currently being evaluated at the Brain Tumor Cancer Unit of the Translational Genomics Research Institute (TGen), Phoenix, Arizona.
AB - Scientists spend significant amount of time accessing Web resources, extracting information of interest, filtering, and integrating relevant data from multiple heterogeneous Web sites to support their data collection needs. This tedious collection process is typically performed manually as available technology does not allow scientists to explore and control their data collection process step by step. However, most of the process can be automated. While scripts (e.g., Perl) may be written to retrieve, parse and extract data of interest, many scientists are not programmers and do not have IT support. In contrast we propose an approach based on Personal Information Agents (PIA) that provide scientists a user-friendly mechanism to automate their data collection processes without the need of any programming. This approach is currently being evaluated at the Brain Tumor Cancer Unit of the Translational Genomics Research Institute (TGen), Phoenix, Arizona.
UR - http://www.scopus.com/inward/record.url?scp=14044279886&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=14044279886&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:14044279886
SN - 0769521940
SN - 9780769521947
T3 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
SP - 489
EP - 490
BT - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
T2 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Y2 - 16 August 2004 through 19 August 2004
ER -