Inline Tagging is a software product to automatically find and label text strings in a graphical user interface (GUI). It keeps the context in view when M.A.I.™ makes a subject-indexing match during analysis of input text, so readers don’t have to click away from the content they’re reading.
What the software does
This Data Harmony extension inserts an XML wrapper around matched words, finding and labeling concepts from your taxonomy in full-text documents. The inline wrapper can be configured so the interface presents functions that the user can activate at the exact spot where M.A.I. suggests a relevant subject term.
‘Why is that important? What happens next?’
Inline Tagging retrieves any element from the thesaurus term record to offer relevant information at the precise location of matching content on the fly. This makes it convenient for a developer to implement customized functions for the user – exactly where the terms match.
You can configure options for users to interact with words and phrases in the inline text while keeping the context of the full-text article in view.
Inline Tagging display possibilities
The interface where users access M.A.I. can have three kinds of Inline Tagging Web services:
- Inline displays: Matched words displaying in bold, italics or underline; or in different colors and font-styles
- Mouseovers: The matching term’s name and other information appears when mouse cursor hovers over the inline content
- Clickable functions: Web-based functions activated with a mouse-click, like opening a hyperlink in a new tab
Powered by your vocabulary and rule base – opening doors to related information
Text matches are based on an organization’s taxonomy or thesaurus in their Data Harmony installation. Driven by data in the vocabulary term records, Inline Tagging offers immediate access to supplemental information about the term. The more robust the term record structure, the greater the possibilities are for taking advantage of this powerful Data Harmony enhancement.
Inline Tagging is especially useful for lengthy documents. It can take someone directly to the information they searched for – in its original context. Instead of merely knowing that a retrieved document matched your search parameters somewhere… you can where it is.
Inline Tagging is a fast, effective and practical way to enrich metadata information associated with content.