We are delighted to inform you that DISQOVER, our linked open data platform, is now freely available for everybody. All you need is to do is create an account on DISQOVER.com and you too can begin finding more open data. DISQOVER contains 110+ public data sources that are converted into 5 star, semantic data formats by ONTOFORCE and its partners.
Human beings, and to a greater extent scientists, try to order items for a purpose. In biomedical sciences, probably no other subject is more diversely ordered or classified as human conditions or diseases – hereinafter abbreviated as ‘diseases’. None of these classifications claims to be the one and only truth or is able to serve all purposes. Instead, many classifications co-exist and are widely accepted – or enforced – by the various stakeholders in life sciences: lab scientists, clinicians, pharmaceutical and biotech firms, regulatory bodies, governments, etc. With different classifications come different definitions of terms even if they are highly similar or have exactly the same meaning.
But what about searching, comparing and analyzing similar data where different diseases classifications are applied? Or what about compiling data about diseases that are produced and maintained for a specific purpose?
This is a question I get quite often: what is semantic search? I’ll give you the short and not-so-short answer. As well as some possible applications which we’ve included our own semantic search platform.
How well is data and information management handled at your company? Are you using Big Data? Have you heard of semantic search? These were some of the questions we asked people at the Knowledge For Growth 2015 convention (May 2015). As a semantic search company, we learned that there’s still some education to be done around it. But, looking at it positively, semantic search is considered to be a highly relevant asset for many people within the life sciences industry. Here are the results of our survey.
Overall challenges addressed by international initiatives for large scale production of collections of iPSC lines include the establishment of reference lines, standards for quality control and the logistic and legal challenges faced in distributing iPSCs across borders.
Around 40 participants joined us for our ‘Big Data Workshop: Getting knowledge out of (Big) data’. Hans Constandt, CEO, and Filip Pattyn, Product Manager and Bioinformatician at ONTOFORCE, introduced and demonstrated DISQOVER – our platform to quickly discover insights out of vast amounts of data.