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- Map of Science and Temporal Graphs significantly faster
- Under 3 seconds for a 1.2 million Quad dataset (previously 1 minute 20 seconds)
- Approx 2 minutes for a 24.6 million Quad dataset. Contains 145,000 people, 155,000 publications and 14,000 journals
- Person level Map of Science return in under 2 seconds, using direct queries of the triple store
- Person level Map of Science will use the system-level cache once queries take longer than 2 seconds, if the system-cache has been populated
- Background refresh of Map of Science / Temporal Graph data - once populated, all requests are served from the cache whilst refreshes occur
- CoAuthor and CoInvestigator visualisations use short-lived caches to prevent multiple executions of the same query in rendering a single visualisation
- Minor tweak to CoAuthor query to improve performance
- Sparklines use some of the under the hood improvements
- New Added AltMetric embed code to display badges on the article pages - enable via the runtime.properties (see
- New D3 based versions of Co-Authorship and Co-Investigator available - switch between D3 and Flash via the runtime.properties
| Note | ||
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Both the AltMetric badges and D3 visualisations are only enabled by the presence of the appropriate settings in the runtime.properties. If you are upgrading an existing installation, and do not adjust your runtime.properties, then you will not have any badges, and will continue to see the traditional Flash based network visualizations. The included example.runtime.properties has both of these options enabled by default, so new installations using the example settings will see the new visualizations. For more information on the new settings, please see the example.runtime.properties |
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Memory Usage
- New data structures for Map of Science / Temporal Graphs use lightweight Java objects instead of Jena models (should use much less memory)
- Search Indexer does not queue statements to index if paused and a full rebuild has been requested (much lower memory usage during reasoning)
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