Ontotext Metadata Studio

Handle metadata effectively and control tagging!

Ontotext’s Metadata Studio makes it easy to:

Create & curate content metadata as the human benchmark for automatic tagging
Integrate different text mining services
Gain insights about your benchmark corpora and performance of automatic tagging against them so you can improve both

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Why Choose Ontotext’s Metadata Studio?

Transform Content Into Knowledge

Benchmark – establish expected quality thresholds
Measure – evaluate any third-party text mining service for your current use case
Build or Buy – quickly find out whether your use case could be automated or not

Generate High Quality Analytics Information

Gold Standard Corpora – produce foundational data to design and build a bespoke text mining algorithm fully under your control and supervision
Coverage – gain insights into the coverage and quality of your benchmark corpora
Compare – compare the performance of various text mining services

Operate Effectively Dealing With Ever Changing Reference Data

In sync with the knowledge – automatically synchronize concepts and instance data
Seamless control – inspect and improve the quality of content metadata in an easy to understand, straightforward manner
Lower cost – substantially reduce the cost and complexity of staying up to date with the data

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If you can’t measure it, you can’t improve it. Ontotext Metadata Studio and its report dashboards helps measuring the outcome of the investment into various natural language technologies. The product and its common annotation model becomes a central point to evaluate the organizational natural language strategy and improve the synergy between SMEs and text engineers.” Vassil Momtchev, CTO of Ontotext