The Mint Mapping tool and the MoRe aggregator
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The MINT mapping tool, developed by experts from the National Technical University of Athens, facilitates the mapping of custom metadata schemas to reference domain models for enhanced cultural heritage content interoperability. Recent updates include a reconstructed backend for improved performance and an updated frontend with integrated workflows and enhanced browsing capabilities. The tool supports various digital curation services, such as harvesting, validation, transformation, and enriched publishing for multiple schemas while leveraging a scalable cloud architecture.
The Mint Mapping tool and the MoRe aggregator
- 1. The Mint Mapping tool The MoRe aggregator Vassilis Tzouvaras, Dimitris Gavrilis National Technical University of Athens Digital Curation Unit - IMIS, Athena Research Center LoCloud is funded by the European Commission's ICT Policy Support Programme
- 2. Cultural Heritage Content • Diversity of cultural heritage content – Numerous metadata schemas to annotate content (LIDO, CIDOC-CRM, EAD, METS ) • Massive digitization and annotation activities are in progress • Need for interoperability
- 3. MINT Mapping Tool • Provides users the ability to perform a mapping of their own metadata schemas to reference domain models • Follows a typical web based architecture • It was developed for ATHENA, but it is currently used for EUScreen, CARARE, Judaica, ECLAP, DCA and Linked Heritage
- 4. MINT 2 – What’s new? • The backend was reconstructed for better performance – File size for imports is extended • The frontend was updated – New interface – Workflow is integrated in UI – Facilitated browsing of input and target schema
- 12. MORe Overall Architecture Registry Apache Cassandra cluster Fedora-commons Temporary storage Vocabulary services Storage JMS logging Messaging Core services Enrichment service management Entity matching / NLP Geocoding / Historic Place names REST External enrichment services Publish service management OAI-PMH RDF Store Elastic Search Archive
- 13. Cloud architecture • De-centralized • Scalable • Four cloud environmets – Storage – Monitoring & logging – Core services deployment – Enrichment services deployment
- 14. Distributed • Enrichment services run on: – Austria – Spain – Greece – Lithuania – Slovenia – Norway • Scalability can be facilitated through a virtualization infrastructure
- 15. Workflow OAI-PMH LoCloud Collections Wikimedia MINT Harvest Ingest Transform Enrich Publish OAI-PMH Archive RDF Store SolR Validate Index Delete Reject Omeka
- 16. Intermediate Schemas Dublin Core LIDO CARARE EAD ESE EDM Dublin Core LIDO CARARE EAD ESE EDM OMEKA-XML OGD
- 17. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Harvests content from metadata sources OAI-PMH repository MINT LoCloud Collections Wikimedia Multiple schemas are supported OAI_DC CARARE CARARE 2.0 LIDO EAD EDM ESE
- 18. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Validates incoming information packages Executes validation schemes Validation micro-services Structure Schema Linking Schematron rules Flexible How it is used in MoRe: Pre-validation Post-validation
- 19. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Ingest content into storage Uses storage layer API Pluggable drivers for attaching different technologies / repositories Apache Cassandra Filesystem-based Fedora-commons Versioning support Complex digital object support
- 20. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Content Model Digital objects comprise data streams Each data stream can hold any kind of information • XML/RDF, Image, Video, Documents, etc. Each different representation of an information object is stored as a different data stream Each curation action generates a new version • Transformation, Enrichment
- 21. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Transforms entire information packages into the Europeana Data Model (EDM), or any other schema Multiple transformation routines Per schema Per project Per provider User can attach rights statement
- 22. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services The generic enrichment service facilitates the execution of the enrichment micro-services • Hides the complexity from the user by using enrichment plans • Provides seamless integration with the UI of MORE Virtual Enrichment driver • Allows developers/creative industries to create their own enrichment services and declare/use them within MoRe
- 23. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Preview the XML record information for all datastreams Preview the record in HTML (using the Europeana style sheet)
- 24. • Harvesting • Validation • Ingestion • Transformation • Enrichment • Previewing • Publishing Core services Publish transformed / enriched information • Internal OAI-PMH provider • XML export • Publish directly to RDF repositories • Sesame • Virtuoso • SolR index server
- 25. • Thematic – Thesauri collections – Vocabulary matching – Background links • Spatial – Geo normalization – Geo coding – Reverse geo-coding – Historic place names • Other – Language identification Enrichment micro-services SKOS Thesauri Geo-Names DBPedia Wikipedia
- 26. Enrichment Plan • Enrichment micro-services are used within enrichment workflows: – Enrichment plans • Each enrichment plan applies to a specific schema • Each enrichment plan executes enrichment micro-services in a specific order Enrichment plans Language identification Vocabulary matching Geo-normalization Geo-coding
- 27. Enrichment Plan • Each enrichment plan defines run-time parameters for specific services – Content based Enrichment plans Language identification Vocabulary matching Geo-normalization Geo-coding Add subject collection A only if term X or Y are matched
- 28. Dashboard
- 30. Package overview
- 32. Preview
- 33. Metadata completeness & statistics
- 35. Direct access to 27 thesauri Create & (re)use subject collections