Database Search

Information is the lifeblood of competitive companies. Processing the incoming information promptly and accurately is a cornerstone of the successful business.

eFLOW’s Database (DB) Search module provides high-performance approximate-search technologies for online and offline searches, as well as data quality solutions, for databases with millions of entries.

This high-performance approximate-searching and matching module provide your business with the highest accuracy levels in data recognition in minimal time. Based on complex algorithms, eFLOW’s Database (DB) Search module enables information processing of multi-field documents over large databases, while dramatically reducing time and increasing efficiency.   

By using the DB search module, results from the OCR engine, which were only partially recognized, can be quickly and accurately validated against information that already exists in the database, without halting the process. Thus, business critical information is transformed into business-ready digital content.

Even requests with spelling errors, with incomplete data or with bad scan results can still be automatically validated against the reference database. Thus cost-intensive manual correction is avoided.

In the same way, manual correction efficiency can be significantly improved by providing the correction assistant with a list of approximate matches from the database.

Proven technology

Since its release, at the end of 2004, TIS provided eFLOW’s Database (DB) Search module for:

• Applications that require validations with large, or incorrect databases (over 1 million entries), such as with address databases.
• Applications where speed and data accuracy are very important.

Unique Features:

• Gives quality results extremely fast (milliseconds)
• Queries very large databases (tens of millions of entries)
• Returns reasonable answers to queries, even when the query is only approximately equal to the keyword (due to spelling errors, bad scanning, incomplete scan, incorrect database entry).
• Language-independent
• Alias dictionaries allow the transformation of terms and names: for example München to Munich, Big Apple to New York
• No change to IT infrastructure
• Bad scan & OCR results can be automatically validated against the reference database, avoiding cost-intensive manual correction.
• The efficiency of manual correction (completion) can be significantly improved by providing the operator with a list of approximate matches from the database.

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