Think the Impossible...

With the advent of high-throughput technologies and the Internet, the life sciences have changed dramatically, producing ever-increasing amounts of data. Public databases currently host thousands of 3D protein structures, millions of sequences, and millions of scientific literature abstracts. Current technologies do not support the user in finding the right information for a task. We help you solve these problems!

Mission

Develop Intelligent Search Technologies for the Life Sciences and Beyond.

In contrast to classical searching, Transinsight uses novel algorithms, state-of-the art natural language processing, and ontologies to provide better and faster search capabilities for complex queries in the life sciences.

The ultimative goal of this line of research and product development is the establishment of a semantic web for the life sciences. GoPubMed, the ontology-based literature search engine, is a first example of a knowledge-based semantic search engine to improve literature searching. GoPubMed paves the way for a migration from web to semantic web.

Vision

Towards Finding Answers

Beyond today’s knowledge-based search, our vision is to contribute to the ultimative goal of finding answers. This does not mean that we are aiming to create a traditional question answering system. The ultimative goal is to ease the process of finding the right information for any given question. Providing the right pieces of textual material and data and summarizing them to suit a certain context will be the next step on our road map.

Our Philosophy

The Transinsight Principle - Gain Insight Through Transparency

The name Transinsight stands for gaining insight through transparency. Our philosophy is therefore to allow selected customers as much insight into our procedures as possible. We faithfully follow this philosophy with our products as well. In the search technology used in GoPubMed.org, for example, we don't rank results using an opaque algorithm. Instead, we put users in the driver’s seat by allowing them to rank or filter results according to their needs. The use of a knowledge base makes this possible. Sorting search results into categories is the key to fostering transparency. In accordance with our vision "Towards Finding Answers," transparency plays the central role. Our users should be able to understand why certain search results are presented and how the software has applied reasoning techniques in order to arrive at the presented conclusions. Our promise is to continually operate around this principle.