Maori Ito presents Enhanced search for life science databases with proposed extension

This week we’ll hear from Maori Ito (National Institute of Biomedical Innovation, Osaka) on extensions for biomedical databases, with an opportunity to discuss these in depth.

Abstract: Lack of unified annotation makes it difficult to find specific information across a set of life science databases. Here, we discuss proposed extensions to to semantically annotate biological databases and their entries using the microdata format. We have applied this to Japanase biomedical data & resources to provide additional fields in our search results. We hope to finalize this proposal and encourage databases to adopt the extension, thereby improving the quality of search results.

W3C Wiki page :
Properties and example of markup are shown in this page.

BioHackathon2012 :
How and why, discussions and useful links are shown in this link.

BH12.12 (Japanese) : Concrete examples of markup and search results, discussions and comments are shown in this link.

Meeting URL

Toll / Intl #: +1 (646) 583-7415
Toll free #:
Attendee PIN #: 47479369

About Michel Dumontier

Dr. Michel Dumontier is a recognized expert in developing and applying semantic web technologies in the biomedical and life sciences. He is the current co-chair for the W3C Health Care and Life Sciences Interest Group (HCLSIG) and lead for the Translational Medicine task force. Dr. Dumontier is an Associate Professor of Bioinformatics at Carleton University in the Department of Biology, the Institute of Biochemistry and School of Computer Science. His research aims to improve our ability to represent and reason about biomedical knowledge, from experimental data to general textbook knowledge, towards building predictive systems for personalized medicine. With over 80 research publications in workshops, conferences, and journals, his innovative research is developing exciting opportunities towards pharmacogenomic based knowledge discovery.

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