i.Know .:.

Linking defines the links between elements in the analysed data,immediately creating a context for the elements and establishing relationships between them and other documents or sets of documents within wider data sets. Unlike text mining and business intelligence, the relationships brought about during the linking process are explicitely named and don't need to be pre-defined.

1. Imagine a researcher in a pharmaceutical company who is interested in verifying whether aspirine could be of any use in cancer treatment.With the support of classical search tools,he will most probably conduct some searches using the keywords and for example cancer or a more specific varient.And then he will spent a lot of time reading through the very long result list that will most probably come out of his databases. Using i.Know's linking,he could simply type the keywords he thought of and the system will bring him back all the pathways containing the keywords he was interested in and expressing a meaningful relationship between these keywords.He can then quickly browse through these pathways and use the most meaningful to his opinion to jump to the right document or document set.

2. Imagine a lawyer working on a specific case.Once he has a short description of the case,he can use the system to present him the most similar cases available.

3.A support engineer in a software company receives a bug report by email.One of the most efficient ways to find a quick answer for the customer is using the content of the bug report with i.Know linking to bring up the most similar bug reports in the system.

The global economic recession in the late 2000s led to increased calls for automakers to abandon fuel-inefficient SUVs,which were seen as a symbol of the excess that caused the recession,in favor of small cars,hybrid cars,and electric cars.