This is an update about the AgriSchemas project (mostly), which I gave today to the ELIXIR Plant Science community. Despite we are busy with many other tasks at KnetMiner, we have done quite a deal of work with representing knowledge graphs using what I call "lightweight schemas", that is BioSchemas, schema.org, Dublin Core and the […]
Making Data Deeply FAIR through Lightweight Standards, the KnetMiner and ELIXIR CasesRead More »
I’m writing this short post mostly as a quick note on a couple of things I’m working on, after a couple of times I was asked for this kind of background.
We’re living in a world of data more than ever, and that makes it even more important to publish data following good principles of data sharing, which ease the job of finding data, …
Some Intro Reads about Lightweight Data Schemas for Life SciencesRead More »
A few notes on the work behind the conversion of the EBI Biosamples Database data into Linked Data.
Adventures with Biological Samples and Linked DataRead More »
![[MannOnto, relatedAssertions]](/wp-content/uploads/2008/02/assertion_properties.gif)
Geeez! Eventually I have submitted the thesis and given the defense presentation! My PhD project is about representing the results coming from microarray data analysis. I represent concepts like: sets of differentially expressed genes, results from clustering algorithms, claims about the role of genes in a biological pathway. I use Semantic Web technologies and an OWL model (ontology) to provide a formal representation of such knowledge. All is focused on assertions (e.g.: "IL2 is expressed under LPS infection condition"), which may be supported by experimental evidence (e.g.: a data set) or other kinds of evaluations, including ranking and comments from the users. Moreover, users and their roles (e.g.: is an expert on Immunology) may be considedered, especially for ranking the assertions. I have also developed a demo, based on the Makna Semantic Wiki.
Managing Microarray Knowledge with the Semantic WebRead More »
