Bioinformatics software provider IO Informatics recently released its free Knowledge Explorer Personal Edition. Version 3.6 of the Personal Edition can handle most of what Knowledge Explorer Professional 3.6, launched in October, can, but it does all its work in memory without direct connectivity to a back-end database.

“In particular, a lot of the strengths of Knowledge Explorer have to do with modeling data as RDF and then testing queries, visualizing and browsing the data to see that you have the ontologies and data mappings you need for your integration and application requirements.” says Robert Stanley, IO Informatics president and CEO. The Personal version is aimed at academic experts focused on data integration and semantic data modeling, as well as personal power users in life sciences and other data-intensive industries, or anyone who wants to learn the tool in anticipation of leveraging their enterprise data sets for collaboration and integration projects.

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SemTechBiz is Less Than 2 Weeks Away

The Semantic Tech & Business Conference (SemTechBiz) is coming to San Francisco on June 3-7! Join us for case studies, innovative panels, tutorials, and keynotes that will provide you with practical advice, hands-on guidance, and breakthrough approaches to solving business problems with semantic technology. Passes go up $200 at the door. Sign up now and save !

— DR. JANS AASMAN, ROBERT STANLEY

Semantic Universe editor Tony Shaw recently spoke with Jans Aasman, CEO of Franz Inc., and Robert Stanley, President & CEO of IO Informatics, about the announcement of their new strategic partnership to deliver 'fit for purpose' applications created by an innovative Semantic application framework. Their partnership has already seen success with the Pfizer IDEA pilot, which serves as a real-world example of using a semantic application in the pharma industry. This pilot was used to integrate data for compound purity verification and drug product stability analysis. The IDEA project was originally expected to take four to six months to produce results, but by using the AllegroGraph-Sentient framework, it was completed in only six weeks.

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