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Welcome to the RIALTO technology wiki!
This is a space for confirmed technical documentation and specifications for building out the RIALTO system.
It is a scholarship & research output and impact data aggregator and dashboard for the campus to use. At core, RIALTO is a Stanford researcher social graph.
RIALTO is a multi-phase project. This first phase and related development work cycle (started in 2018 April) focuses on data aggregation, normalization, enhancements, and publication (either for programmatic use or a web UI). Later phases may look into more web UI reports and visualizations, faculty or entity profiles, a data aggregation pipeline administrative interface, and adding new or enhanced data sources.
Technically, RIALTO is a data aggregation system leveraging a data ETL pipeline, a canonical datastore system based on a triplestore with a subset of the VIVO-ISF ontology as RDF, and a simple web application serving up basic search and view functionalities of that data.
- At least in the short-term, a SDR researcher / depositor analytics dashboard.
- An SDR Authorities management space. This will be a different system influenced by this work.
- At least in the short to mid-term, a faculty research profiles web application.
- RIALTO Wiki Homepage
- RIALTO Use Cases
- RIALTO Architecture
- RIALTO Data Models
- RIALTO Acceptance Criteria
- RIALTO Data Sources
- Demo Videos
- Neptune/λ Integration
- Core/Combine Integration
- SPARQL Proxy λ
- Derivatives λ
- Entity Resolver Service
- Rebuild Trigger Task
- Solr Setup
- Ingest Service
- Combine Data Sources
- Data Mappings
- Load Procedure
- Starting & Monitoring ETL
- Counting # of Publications
- Jena/TDB vs Blazegraph
- Vitro Ingest Options
- VIVO/Vitro Assessment
- VIVO Community Convo Notes
- Vitro vs Stand-Alone Datastore
- Provisioning a VM
- Deployment Process
- Toggle inferencing
- Check Inferencing is On
- Recompute inferences
- Toggle indexing
- Working with Vitro Solr
- Vitro Solr Samples
- Ingest via Fuseki SPARQL-over-HTTP
- Ingest via Jena ARQ
- Ingest via Jena tdbloader
- Ingest via Vitro SPARQL-over-HTTP
- Ingest via TDB Java API
- Vitro Logging
- Detecting TDB Changes