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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 enabled by default, disable via the runtime.properties
- 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 default, but can be disabled 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 start to see the new visualizations. If you do not want to 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.AltMetric badges then add the following to your runtime.properties: resource.altmetric=disabledIf you do not want to have the D3 visualisations, and wish to have the Flash based Co-Authorship and Co-Investigator visualisations instead, add the following to your runtime.properties. visualization.d3 = disabledFor more information on the new settings, please see the example.runtime.properties file. |
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- Reduce overhead on reinferencing - up to 30% faster on individuals with no changes (depending on configuration)
- Reasoning on a large dataset has more consistent performance (used to slow down / crash with memory used by the search indexer)
- Faux property resolution rewritten to greatly reduce work being repeated in the presence of multiple instances of the same property
- RDFService has additional methods
- CONSTRUCT that takes a Model to write into
- SELECT that takes a ResultSetConsumer - implemented by the user - which processes each QuerySolution as it is retrieved from the ResultSet
- Reduce latency and memory overhead of reading into a Jena model; serialising; and then re-reading into a Jena model in the calling method.
(NB: Responsible for 20 seconds of improvement to Map of Science / Temporal Graph)
- Replace certain uses of RDFServiceDatasetGraph with RDFService (repeated calls to find() in RDFServiceDatasetGraph responsible for some overhead)
- RDFServiceSDB always constructs queries against the graph, and not the union model (simple optional queries much faster against the graph than the dataset)
- Clean up of many list view SPARQL queries, removing a few redundant patterns.
- NOTE: Some methods have changed their signatures to support the above. If you have custom Java code in your installation, you may need to make minor adjustments - typically, this will be exchanging a Dataset parameter for an RDFService.
- NOTE: Some listview-*.xml files have changed, if you have customised your list views, you will need to resolve the conflicts.
- NOTE List views that return publications (e.g. authorInAuthorship) now only resolve the editor person for publications that are either bibo:Book or bibo:BookSection (includes Chapter, etc.). This is necessary for reasonable performance when you have large publication lists that involve articles with many co-authors.
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