Data Harmony (DH) 4.0 is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our core and extension modules focus on everything from taxonomy construction to automatic indexing, database records management, information retrieval, and more.

MAIstro combines cutting-edge vocabulary creation (Thesaurus Master™), with MAI® (Machine Aided Indexer) for fast and accurate document indexing of large volumes of content.

  • Thesaurus Master puts you in control of the entries, hierarchy, and conditions for use of your content.

  • MAI is a user-friendly, human-assisted indexing system that allows you to quickly and easily create complex rules that achieve superior indexing results.

XIS (XML Intranet System): XIS is a platform-independent system that stores tagged data in an easy-to-use, portable, and extensible format that gives you total control over the current and legacy data you need to capture. The interface employs user-defined search for accurate retrieval and enables customized data export for analysis and reporting.

Search Harmony provides better, faster search through enhanced data links, expanding on the way users search for information by opening doors to relevant and related information. Search Harmony includes a Recommender function that links concepts with the user’s query to return other articles indexed in a similar way. Content-based filtering from Recommender makes it possible to implement “Find More Like This” options to engage user interest in related information.

Smart Submit expands automatic indexing through author input to boost consistency and accuracy early in the publishing or content processing workflow. With Smart Submit, each author provides subject keywords from the publisher’s taxonomy to accompany the item for submission, supporting early categorization, selection of peer reviewers and trend analysis.

Semantic Fingerprinting clarifies data in the pipeline to improve author descriptions and connections. It suggests the most appropriate subject terms from a controlled vocabulary to describe a contributing author, their affiliated institutions and other relevant information.

Inline Tagging maximizes browser-driven discovery of data by providing automatic markups, including mouseover displays, data linkage, and clickable functions to enhance search and improve page navigation. It is especially useful for lengthy documents because it can take the user directly to the information they are seeking.

TopiCluster groups and visually displays clusters of data to identify emerging trends, topics, and information gaps. These clusters facilitate tracking, organization, and planning, while offering the ability to view your data in new and exciting ways.

Sentiscore analyzes data harvested from news feeds and social media to accurately assess sentiment. Users can cut through massive amounts of information to see the positive, negative, or in-between messages as well as identify trends about a particular subject, making it easier to act upon and understand the way an audience feels about a certain topic.

Discover ENT uses Natural Language Processing to identify and mine items from authority files. It is a major step forward in creating more robust, curatable, and agile authority files.