Displaying articles related to "Semantic search"

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Written on August 30th, 2017 by Filip Pattyn

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Bringing down the virtual walls around hospital data

Integrating an organization’s internal data is challenging. It requires strategic vision by the organization’s leadership and an open mindset on different levels. In our experience, establishing such a solution has a greater chance of success if stakeholders quickly and easily notice the benefits. Small pragmatic initiatives with few data sources that solve a limited number of use-cases, can demonstrate how things can improve for the whole organization.

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Typed Links_THUMB

Written on February 8th, 2017 by Kenny Knecht

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DISQOVER version 3.0 is launched

We are very excited to announce the release of version 3.0 of our DISQOVER platform. After introducing federation in versions 2.x, we succeeded in unlocking a whole new dimension of semantic data in this 3.0 version with the typed links. But wait, there is more! We have also greatly increased usability and flexibility in areas such as discovery management, exporting and dashboards. Can't wait to learn more? Read on!

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Picture 'CONNECTING LINES' by Lauren Manning Follow via Flickr _ THUMB

Written on January 24th, 2017 by Filip Pattyn

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Bring epidemiology data and disease genes in closer contact

In my previous blog, I tried to explain that the usage of different disease classifications or encodings in data sources like the US and EU clinical trial registries, doesn’t hamper the integration and linking of this kind of data.

Disease classifications are also used to precisely define diseases in other contexts like epidemiology, pharmacovigilance, toxicology, pharmacology, genetics, etc. This data is scattered across a plethora of data sources, maintained by different governmental and other non-profit organizations like research consortia and institutes or individual research groups. If they are keen on providing meaningful and useful data, data providers try to avoid using disease terms that aren’t defined precisely in an ontology.

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Written on December 12th, 2016 by Kenny Knecht

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Up to 3 times faster indexing

Companies that host their own setup of DISQOVER know that a crucial step in the process of making data available is the indexing. In the past few months, we have optimized this process. Indexing now runs up to 3 times faster while the logging has been more readable and more informative.

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Written on October 11th, 2016 by Hans Constandt

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Getting semantic search to work efficiently – the white paper

Semantic search has been on the radar for quite some time now. And truth be told, many have talked the talk but few have been seen to walk to walk. The challenge? Semantic search has been used mainly by academics and experts, but there simply weren’t enough workable solutions accessible to common users. But that’s all changing now with our semantic search platform DISQOVER.

How we do this, can be discovered in our latest white paper, co-authored with Dr. Bhanu Bahl (Director at Harvard Catalyst | The Harvard Clinical and Translational Science Center), Dr. Filip Pattyn (Scientific Lead at ONTOFORCE) and myself.

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Written on October 4th, 2016 by Hans Constandt

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DISQOVER is now freely available for everybody

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.

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Written on April 5th, 2016 by Filip Pattyn

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The gap shouldn’t be that wide between US and EU clinical trials

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?

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Written on August 26th, 2015 by Hans Constandt

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Getting smarter with semantic search

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.

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