Key findings include:
- An approach to adding supplementary, semantic, metadata that builds on the work practices of archivists rather than imposing a new layer of work
- Semantic analysis can supplement existing indexing, making its creation faster, more accurate and more consistent
- Existing natural language processing services such as Open Calais still lack archival-LMA related vocabularies, so have some way to go before they 'learn' the language of libraries, museums, archives, galleries and the research environment
- Opportunities for enhancing discoverability with roll-over features and drop downs to make Linked Data of mainstream value to users and not the preserve of a minority of technical experts
- Further refinement of the editing interface to make mark-up clearer and with features such as bulk analysis of ISAD(G) records
- Further testing of sample data across key natural language processing services to ask certain questions - what are they missing? - how accurate are they? - how could they be improved and what role would JISC have in this?
- More testing of front end delivery pages in AIM25 using external data, particularly geographical and name authority data via projects such as Linking Lives
- Moving beyond AIM25 to link archive descriptions with other services via an API. Linked Data is only useful if users can connect and aggregate, mix and mash
- Using services to mix archival, bibliographic and museums content information, and to cross-walk with broader content used by wider audiences (such as genealogical data, metadata for digitised collections - eg newspapers, mapping or crowdsourced data)
- Surveying which services need to be created with existing database records, that can then be linked together. This should be user and service-driven with input from major national institutions such as the TNA and BL, as well as JISC
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