Documill Visual Search Integration
Oracle Secure Enterprise Search
Applicable products
- Oracle Secure Enterprise Search 10g
- Oracle Secure Enterprise Search 11g
Fig 1. Default user interface of Oracle Secure Enterprise Search
Integration pre-requirements
- There is virtual/dedicated system available for deploying Documill solution. Recommended OSes are Windows Server 2008 R2 (64bit) and 64bit Linux (Fedora, Centos, Redhat) with 8 GB of RAM.
- Indexed files are behind supported security scheme: Basic authentication (also over SSL), NTLM or Kerberos.
Fig 2. Oracle Secure Enterprise Search 11g default UI enhanced with Documill Resultset Previewer
Integration project
- Typically 1-2 day deployment effort, done either on-site or remotely.
- Complexity, and effort required, varies depending on the authentication model/s used, as well as on the variety of document repositories indexed.
- While Documill Visual Search experience is often integrated into default SES result list view, it is possible to integrate it into some custom-made UI using SES provided search API.
Fig 3. Oracle Secure Enterprise Search indexed document viewed using Documill Online Viewer
Documill Visual Search Offering for Oracle Secure Enterprise Search (SES)
- Result set previewing: Documill Resultset Previewer ("The Ribbon") or Documill Floating Previewer
- Document online viewing: Documill Online Document Viewer or Documill Floating Viewer
- Document re-use: Documill Page Collections ("Visual Bookmarking")
Related documents
- Documill Visual Search with Oracle Secure Enterprise Search -- Presentation about Documill's integration with Oracle Secure Enterprise Search (SES) - [pdf, 2532 kB]
Related online demos
- Oracle Secure Enterprise Search 11g -- Documill Ribbon Previewer, Online Viewer and Visual Bookmarking integrated into default Oracle SES 11g search UI.
Documill Visual Search is a natural partner to Oracle's enterprise search offering. It operates intuitively, transparently and efficiently; generating high quality page renditions that radically enhance a user’s ability to positively identify documents of interest - documents that they may well overlook in the absence of vital visual clues.