M.A.I.™ – Machine Aided Indexer
Data Harmony's Machine Aided Indexer provides fast and accurate content categorization, whether used as an automatic categorization system for large volumes of content or to speed human indexers' productivity while maintaining editor control and accuracy. M.A.I. facilitates selection of indexing terms from controlled vocabularies, authority files, or full thesauri. It presents a list of approved terms to the editor for selection, which saves time looking up terms manually and speeds processing time.
M.A.I. allows flexibility because the editor can add or reject terms as needed. All editorial actions are gathered by the Statistics Collector, which then submits "hit," "miss," and "noise" lists to the Rule Builder module for continued improvement of the rule base.
Customers have experienced up to a seven-fold increase in productivity using M.A.I. while measurably improving consistency and coverage of individual records. M.A.I. improves consistency by providing the same term in the same conditions every time, preventing editorial drift.
Indexing using M.A.I. mines the entire depth of the vocabulary applied, which improves document retrieval, relevance, and precision for the end user.
Additional Features:
- M.A.I. operates as an independent utility in managing how your structured vocabularies are applied for indexing
- M.A.I. can be used in conjunction with Thesaurus Master
- M.A.I. is written in Java with APIs for interfacing with other software
Machine aided indexing saves time and money and improves accuracy, and Data Harmony's Machine Aided Indexer simplifies the process!
What our clients say:
"We have found M.A.I. to be accurate and efficient, meeting and exceeding our expectations. The rule builder is flexible, powerful, and intuitively clear...its term suggestions are right where we want them to be. We are delighted with both the package itself and the technical support and training we have received from Data Harmony."
Scott Ryan, Development Specialist
Cambridge Scientific Abstracts
"Our staffing was going down, the work load was increasing, and we needed more efficient ways to store and move data without major staff intervention. I estimate that M.A.I. has improved our productivity by 50 percent.
Kurt Keeley, Database Manager
American Water Works Association (AWWA)
