Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 |
| Pages | 489-490 |
| Number of pages | 2 |
| State | Published - 2004 |
| Event | Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 - Stanford, CA, United States Duration: Aug 16 2004 → Aug 19 2004 |
Other
| Other | Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 |
|---|---|
| Country | United States |
| City | Stanford, CA |
| Period | 8/16/04 → 8/19/04 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Automating the biological data collection process with agents. / Lacroix, Zoé; Parekh, Kaushal; Davulcu, Hasan; Ramakrishnan, I. V.; Julasana, Nikeeta.
Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004. 2004. p. 489-490.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
Y1 - 2004
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
SP - 489
EP - 490
BT - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
ER -