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F
Federated Search

A process which combines search results from different sources of information. There are many software tools designed especially for this purpose. The working assumption is that there are many systems in the organization consisting of data and information, and each has a search engine searching optimally above it. The user wants to access the knowledge stored in the organization, benefiting from the specific functionality of each search engine. Nevertheless, the user will not bother to search each source separately each time. In many cases, the user is not even aware in which the source the information is stored. A federated search activates the other engines and combines their results.

The method consists of three stages:

  1. Activating the engines in order to receive documents/content items.
  2. Analyzing the results for a shared ranking.
  3. Combining presentation of the results.

This method is also referred to as 'Unified Search' and 'Integrated Search'.

Functional Analysis

Setting up a KM solution includes several phases. The second phase, following mapping needs, is characterizing the solution. Characterizing a KM solution somewhat resembles characterizing a regular information system, yet there are some substantial differences:

  1. It focuses mainly on knowledge gaps (referred to as needs) rather than on all information and knowledge on the subject.
  2. It includes, beside the computerized solution, a procedural, content and cultural solution as well.
  3. In terms of content, it includes regard to organizing the content. Critical for usage.
  4. Main content: 1) portals and content pages. 2) Permanent frame. 3) Navigation tree. 4) presentation.
  5. Gradual setup. The Functional Analysis always regards initial critical mass for upload. We must plan a solution that can be upgraded (thinking in advanced, partial actualization).
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