Web search engines leverage information from structured databases to answer queries. For example, many product related queries on search engines (Amazon, Google, Yahoo, Live Search) are answered by searching underlying product databases containing names, descriptions, specifications, and reviews of products.
However, these vertical search engines are “silo-ed” in that their results are independent of those from web search. This often leads to empty or incomplete results, as query terms are matched against the information in the underlying database only. In order to overcome this problem, we propose an approach that first identifies relationships between web documents and items in structured databases.
The FreePint Family is a family of resources to help information workers be more effective, raise the value of information in their organisations and contribute to success.
'FreePint... provides most of my professional development because it won't come through work and [other resources] just don't cut it.'
FUMSI Forum: Do you have a research question? Post it to the FUMSI Forum, where professionals share Q&A and useful tips on how to Find, Use, Manage and Share Information. It's free.
FreePint Shop:
VIP LiveWire:
