From MIKE2.0 Methodology
| Author
|
| [[Image:{{{imagename}}}|150px]]
|
| Name:
| Michael Loke
|
| Organisation:
| BearingPoint
|
| Title:
| Senior Technology Analyst
|
| Contact:
| michael.loke at bearingpoint dot com
|
Note
This is WIP (Work in Progress).
Introduction
This article attempts at describing how organic Enterprise Search results from the Google Search Appliance can be fused with a Social Bookmarking system.
For the position article and benefits related to the same topic, please refer to Fusing Enterprise Search and Social Bookmarking written by Jeremy Thomas.
What are we trying to achieve
The aim of the fusion results is to enable the user to view the following results as part of the organic search results returned by the GSA.
1) Tagging - This allows user to see what tags the link has been associated with by other knowledge workers
2) Saved by - This allows the user to see how many times a organic search link has been saved by other knowledge workers
Normal Search Results
Below is a screenshot of the organic search results that is returned by the GSA after a query is made.
Fusion of Search Results and Social Bookmarking
After the fusion, the extra information is visible.
Systems/Softwares involved
1) Scuttle -> Social Bookmarking API
2) GSA -> Google Search Appliance
Technical Diagram
Overall technical architecture diagram
Sequence Diagram
Sequence diagram of a sample implementation
Extension of Scuttle API
What information needs to be returned by the API
<insert screenshot of sample XML returned by the BLOB>
<all done using REST design principles>
Integration via a OneBox Module
Describe what onebox module does
Jave code
Java code...
Modification to XSLT
Summary
Summary here....