Content Processing Tools for Unstructured Data
Search Technologies is the largest independent provider of search engine implementation consulting and managed services.
Our Aspire Content Processing system is a sophisticated, stand-alone indexing pipeline in use with a range of search engines including Elasticsearch, Solr, the Google Search Appliance, and Microsoft FAST. It is also used to enhance and enrich unstructured content for other applications such as Web Content Management and Business intelligence systems.
The processing of unstructured content prior to indexing requires a different approach. Techniques typically used with structured content can't cope with the variability and unpredictability
Aspire is a search engine independent content processing framework which enables both structured and unstructured information to be optimally prepared for indexing into search engines, or for use in other applications
Contents include the complexity challenge, Aspire technical overview, and Aspire use cases
Aspire comprises a content processing framework, plus a growing number of plug-in modules
Search Technologies provides a low risk, low-cost approach to implementing Enterprise Content Integration for unstructured information
This collection of search engine white papers is search product neutral, and written by our staff, based on the experience of more than 250 search engine implementation engagements
The preparation of documents prior to indexing is one of the most important factors affecting the success of search applications. It is also one of the most neglected
Data Model Design (DMD) is a foundation for the building and maintenance of high quality search applications. Data Model Design also provides benefits in the wider field of unstructured data management
Aspire is used to support a wide range of search applications which face challenges of scale, performance or complexity