Let's assume that a company needs to use a database to manage data for its personal computer products catalog. The company's personal computer products catalog may contain document data on desktop machines, notebook computers, CPUs, and memory devices, as well as image data on personal computers. When these documents and image data are stored in a HiRDB database, and the HiRDB Text Search Plug-in and HiRDB Image Search Plug-in are registered into HiRDB, it becomes possible to use keywords to retrieve at high speed both document data and image data. When a large volume of image data must be handled, HiRDB File Link can be used to store the image data at any server (file server) and link this data to columns in a table of the HiRDB database. Figure 10-1 shows the application of plug-ins to a job.

Figure 10-1 Application of plug-ins to a job

Explanation

• This example uses the HiRDB Text Search Plug-in (SGML plug-in and n-gram index plug-in) and the HiRDB Image Search Plug-in (features search plug-in and features search index creation plug-in), which are plug-in package products.
• The product catalog database is built by registering into HiRDB the HiRDB Text Search Plug-in (SGML plug-in and n-gram index plug-in) and the HiRDB Image Search Plug-in (HiRDB Image Search Plug-in and a plug-in for creating an image search index).
• It is possible to retrieve documents using the keyword "notebook personal computer A" and retrieve personal computer image data using "WHITE" as the key.

For details about the function and operation of each plug-in, see the manual for the respective plug-in.