%0 Journal Article %1 vivisimo.taylor.2007 %A Taylor, DP. %D 2007 %J Methods Mol Biol. %K CAT CAT-IR CAT-VIZ Vivisimo clustering visualization %N 356 %P 293-300 %T An integrated biomedical knowledge extraction and analysis platform: using federated search and document clustering technology %X High content screening (HCS) requires time-consuming and often complex iterative information retrieval and assessment approaches to optimally conduct drug discovery programs and biomedical research. Pre- and post-HCS experimentation both require the retrieval of information from public as well as proprietary literature in addition to structured information assets such as compound libraries and projects databases. Unfortunately, this information is typically scattered across a plethora of proprietary bioinformatics tools and databases and public domain sources. Consequently, single search requests must be presented to each information repository, forcing the results to be manually integrated for a meaningful result set. Furthermore, these bioinformatics tools and data repositories are becoming increasingly complex to use; typically they fail to allow for more natural query interfaces. Vivisimo has developed an enterprise software platform to bridge disparate silos of information. The platform automatically categorizes search results into descriptive folders without the use of taxonomies to drive the categorization. A new approach to information retrieval for HCS experimentation is proposed.

@article{vivisimo.taylor.2007, abstract = {High content screening (HCS) requires time-consuming and often complex iterative information retrieval and assessment approaches to optimally conduct drug discovery programs and biomedical research. Pre- and post-HCS experimentation both require the retrieval of information from public as well as proprietary literature in addition to structured information assets such as compound libraries and projects databases. Unfortunately, this information is typically scattered across a plethora of proprietary bioinformatics tools and databases and public domain sources. Consequently, single search requests must be presented to each information repository, forcing the results to be manually integrated for a meaningful result set. Furthermore, these bioinformatics tools and data repositories are becoming increasingly complex to use; typically they fail to allow for more natural query interfaces. Vivisimo has developed an enterprise software platform to bridge disparate silos of information. The platform automatically categorizes search results into descriptive folders without the use of taxonomies to drive the categorization. A new approach to information retrieval for HCS experimentation is proposed.}, added-at = {2010-08-29T00:41:36.000+0200}, author = {Taylor, DP.}, biburl = {https://www.bibsonomy.org/bibtex/2540c8facd3d358a93f63d150f707f368/huiyangsfsu}, interhash = {595eca0b895e8828a8aafb9bbe4d2a83}, intrahash = {540c8facd3d358a93f63d150f707f368}, journal = {Methods Mol Biol.}, keywords = {CAT CAT-IR CAT-VIZ Vivisimo clustering visualization}, number = 356, pages = {293-300}, timestamp = {2010-11-12T04:17:07.000+0100}, title = {An integrated biomedical knowledge extraction and analysis platform: using federated search and document clustering technology}, year = 2007 }