Blogs

MIT professor Andrew McAfee is best known for being the guy who coined the term Enterprise 2.0, the idea of bringing social tools into the enterprise.

We just finished the first release of BioBIG, http://knoodl.com/ui/groups/BioBIG, and it is pretty impressive capability to analyze highly distributed collections of data of widely varying formats (relational, spreadsheets, files, RDF, ect) that pertain to pharmacological research. Just accomplishing this is somewhat paradigm shifting. It was actually surprising to me that it worked, and we build the software that makes it work.

In concert with one of our partners, Spry, Inc., we demonstrated BioBIG<

Knoodl.com has been updated, providing a complete RDF-based integration and analytical platform.

Recently I had the privilege of presenting some work Revelytix has been doing in the financial services space at a conference hosted by the Enterprise Data Management Council (EDMC) and the Object Management Group. What we presented focused on using the Financial Industry Business Ontology (FIBO) to drive integration and

In my last post (Semantic Analysis of R2RML Mappings, Part 1), I showed how to use SPARQL queries to analyze R2RML mapping files. Today, I'm going to show how to query a mapping file AND an ontology for alignment. In some ideal cases, of course, a mapping file will draw a perfect one-to-one line from columns in a database to OWL properties. But there are a handful of cases that mappers and modelers might want to know about:

There are three main approaches to ontology development.  A top-down modeling approach begins with abstract concepts; how those concepts map to physical data is addressed later.  A bottom-up modeling approach is essentially the opposite; one begins with the data necessary for a specific analytic use-case, and models the concepts necessary for performing such analysis on the physical data.  Finally, a middle-out approach combines the two in some fashion.

Do any of these situations apply to you?