Best Practices: A Document Processing Methodology for Search (DPMS)

Search Technologies' Document Processing Methodology for Search (DPMS) is a collection of tools, techniques, and processes which prepare data for use in search-based applications.

The majority of business-critical search applications can be significantly enhanced, or even transformed by better document processing prior to indexing.  DPMS reduces complexity and makes search applications more maintainable and flexible.  DPMS also helps search to deliver user-experience excellence in a controllable, cost-effective way.

Search Technologies' Document Processing Methodology for Search has been developed during the delivery of more than 25,000 consultant-days of search implementation services.

This comprehensive white paper:

• Provides a detailed description of best practices in document processing for search, including system architecture, data model design, implementation planning, quality control and exception handling
• Suggests useful tools and utilities to use in document processing projects, some of which are open source
• Illustrates best practices through examples.

Written by Search Technologies' staff, this white paper is product agnostic and based on real-world implementation experience.  It will be particularly useful for implementations, such as enterprise search systems, where it is necessary to deal with multiple, disparate data sets.

Please provide a valid email address to access this free PDF format white paper, which is instantly downloadable.