Deep Web Technologies advances federated search through a scalable architecture, giving researchers access to a diversity of high-quality academic, technical, business and scientific databases. Our approach is to Divide and Conquer, combining multiple federated search applications with direct federation of sources, enabling thousands of sources to be searched in parallel.
Why Scale?
Building scalable applications yields compelling benefits:
- A much larger set of potentially relevant search results;
- Accelerated cross fertilization of ideas;
- One-stop research.
See scalable federated search in action at ScienceResearch.com where close to 400 information sources, some searched through portals such as Science.gov and WorldWideScience.org are searched in parallel and in real-time.
Please contact us for more information on how federated search can work for your organization. |
Explore Scalability
Journey to 10,000 Sources (Paper)
SLA 2009 Contributed Paper

Journey to 10,000 Sources (Presentation)

An Architecture for Scaling Federated Search (Poster PDF)
Presented at ASIS&T Annual Conference 2009

Scalable Federated Search Press Release
Deep Web Technologies Announces Poster Presentation at ASIS&T Annual Conference
November 9, 2009 |