Information Extraction & Knowledge Access
Information extraction
Automatically extract important information from collection material and metadata, such as makers, creation dates, provenance locations, historical events and collection numbers.
Much valuable collection information is hidden in descriptions, documentation, transcripts and other source files. Manually finding, structuring and adding that information to a collection management system takes a great deal of time. With this application, we help automatically extract important information from text and collection data, making relevant data visible faster and creating a richer basis for description, research and access.
We help extract important information from collection material and documentation, such as makers, creation dates, provenance locations, historical events and collection numbers. By automatically analysing texts, descriptions and other sources, we make relevant data visible and usable faster for further collection enrichment. This saves time, improves metadata consistency and creates a stronger basis for research, management and digital access.
Control and quality
AI does the preparatory work. Results remain reviewable and are configured around your sources, fields, terminology and quality criteria. Where relevant, the source or passage remains traceable. Your organisation decides what is adjusted, approved and ultimately used.
A concrete first step
We prefer to start with a clearly defined test set. Together we agree the required output, quality criteria and review flow. This shows what works before you scale up.