Products

• Answer Questions
• Edit the background knowledge
• Folksonomy becomes folkology
• Write together
• Search corporate Intranets and local desktops
• System requirements

In a Nutshell

Just watch a short movie and get started quickly

Here we provide a movie to get started. If you want to contribute with translations or spoken text please contact us at gopubmed@transinsight.com.

Select your desired language and enjoy!

english | german | japanese | spanish

GoPubMed – Knowledge-Based Semantic Search

Searching is now sorted – Save up to 90% of your time

With sorted search results the user is finally in the driver’s seat. We don’t rank results – the user does! Consider the search for Aspirin, for example. Other search engines yield more than 40,000 results for this term; by using GoPubMed’s subtle mechanism for refining searches these 40,000 can be reduced to the 9 relevant to, say, coronary thrombosis. Finding these 9 articles with traditional technology takes several hours and the searcher has to have enormous knowledge in the field of coronary thrombosis. With GoPubMed even untrained students find these relevant articles within 3 seconds. If you don’t believe it, try it online at www.gopubmed.org. It’s free!

Answer Questions

GoPubMed can help answer questions significantly faster, with more relevant results and much more elegantly. Consider the following examples:

• Which molecular pathways are inhibited by aspirin?
• What is Richard Axel from Columbia University working on?
• Which cellular component is the protein Rab5 associated with?

A search for "aspirin inhibits", "Axel Richards Columbia" or "rab5" on a classical search engine will return large numbers of unstructured results which do not answer the user's original question. A classical search engine has no background knowledge on molecular processes, functions, and cellular components.

GoPubMed uses such background knowledge on biological pathways, molecular functions, and cellular components, to name a few. The machine indexes search results using background knowledge and thus allow users to explore a large body of results in a structured manner.

With such background knowledge, the machines can actually answer questions!

• GoPubMed discovers that the most frequently mentioned pathway for "aspirin inhibits" is the cyclooxygenase pathway.
• GoPubMed discovers that the most frequently mentioned topic for "Axel Richards Columbia" is olfactory receptor activity (for this work he obtained a Nobel Prize in 2004).
• GoPubMed discovers that the most frequently mentioned cellular component for "rab5" is the endosome.

Edit the Background Knowledge

GoPubMed PRO allows you to change its background knowledge according to your own needs. Adapt or even create your personal or corporate knowledge base and you will be able to search with your own controlled vocabulary.

Folksonomy Becomes Folkology

GoPubMed PRO allows users to give elaborate feedback to the system. By using its curator features, it is very easy for regular users to curate articles to a very fine grain. By just clicking + or - in a provided term list, an administrator is informed of alterations and can immediately act and update the whole system online.

Write Together

Ever dreamed of writing a document together online with no hassle of document versions? GoPubMed PRO is more than just a search machine! It is also a semantic Wiki system of the next generation. It allows knowledge-based collaborative writing in a new semantic way. Being able to jointly create complex documents online in a normal web browser lets you save enormous amounts of time normally spent exchanging documents by email.

Search Corporate Intranets and Local Desktops

With GoPubMed PRO we have achieved one stop information acquisition encompassing PubMed, the Internet, your local intranet and local desktops. Under one roof you have knowledge-based access to the knowledge you need to make decisions.

System Requirements

• Database Server:
  • 2 CPU cores at 2ghz
  • 16 GB RAM
  • access to 300GB of fast storage for the database
  • MySql 5.x database
• Application Server:
  • 4 CPU cores 2,5ghz
  • 16gb Ram
  • 1gb storage for the application
  • Tomcat 5.5.x Webserver, Java Runtime 1.5.