Evaluation paths to express scientific queries

Scientific data collection needed in various stages of scientific discovery is typically performed manually. For each scientific object of interest (e.g., a gene, a sequence), scientists query a succession of Web resources following links between retrieved entries, each of the steps providing part of the intended characterization of the scientific object. This process is often partially supported by hard-scripts implemented to collect data for a given data collection protocol, or by queries against a mediation systems, that express complex joins on integrated resources. These approaches fail in guiding the scientists in the collection process, informing the scientists on the alternative resources available, the data provenance, or the cost associated with the data collection. The BioNavigation system presented in This work addresses the issue of exploring evaluation paths of scientific queries and offers a complement to a traditional mediation approach.

[1]  Ivan Herman,et al.  An object‐oriented design for graph visualization , 2001, Softw. Pract. Exp..

[2]  Ivan Herman,et al.  GraphXML - An XML-Based Graph Description Format , 2000, GD.

[3]  Maria-Esther Vidal,et al.  Exploiting multiple paths to express scientific queries , 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..

[4]  Sue Povey,et al.  Genew: the Human Gene Nomenclature Database , 2002, Nucleic Acids Res..

[5]  Louiqa Raschid,et al.  A query language to support scientific discovery , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

[6]  Andreas D. Baxevanis,et al.  The Molecular Biology Database Collection: 2003 update , 2003, Nucleic Acids Res..

[7]  Laura M. Haas,et al.  CHAPTER 11 – DiscoveryLink , 2003 .

[8]  Norman W. Paton,et al.  Complex Query Formulation Over Diverse Information Sources in TAMBIS , 2003, Bioinformatics.

[9]  Maria-Esther Vidal,et al.  Efficient Techniques to Explore and Rank Paths in Life Science Data Sources , 2004, DILS.

[10]  Thure Etzold,et al.  SRS: An Integration Platform for Databanks and Analysis Tools in Bioinformatics , 2003, Bioinformatics.