Semantic and standard user interface (UI) interoperability in dynamically generated cross-platform applications
US-11157259-B1 · Oct 26, 2021 · US
US11416477B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11416477-B2 |
| Application number | US-201916682622-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 13, 2019 |
| Priority date | Nov 14, 2018 |
| Publication date | Aug 16, 2022 |
| Grant date | Aug 16, 2022 |
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Improved systems and methods for database analysis are described herein. A method includes generating a graph-based ontological data structure including nodes connected by edges in a low-latency database analysis system, wherein each node represents a respective analytical-object in the low-latency database analysis system, maintaining versions for each of the nodes in the graph-based ontological data structure, maintaining versions for each of the edges in the graph-based ontological data structure, maintaining a transaction log for each transaction with respect to the graph-based ontological data structure, reverting to an earlier version of at least a portion of the graph-based ontological data structure using the transaction log, versioned nodes, and versioned edges in response to an event, and outputting a version of the graph-based ontological data structure in a defined form for presentation to a user or for use by a client.
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What is claimed is: 1. A method comprising: generating, by a distributed in-memory ontology unit of a low-latency database analysis system, a graph-based ontological data structure including nodes connected by edges in the low-latency database analysis system, wherein each node represents a respective object in the low-latency database analysis system; maintaining versions for each of the nodes in the graph-based ontological data structure; maintaining versions for each of the edges in the graph-based ontological data structure; maintaining a transaction log for each transaction with respect to the graph-based ontological data structure; reverting to an earlier version of at least a portion of the graph-based ontological data structure using the transaction log, versioned nodes, and versioned edges in response to an event; obtaining data expressing a usage intent with respect to the low-latency database analysis system, wherein the data expressing the usage intent indicates a request for data from a database, wherein the database is a distributed in-memory database of the low-latency database analysis system or an external database accessed by the low-latency database analysis system; identifying an object represented in the low-latency database analysis system based on the data expressing the usage intent; obtaining, by a semantic interface unit of the low-latency database analysis system, object data for the object from a reverted version of the graph-based ontological data structure; generating, using the object data, a data-query representing the request for data and expressed in accordance with a defined structured query language associated with the database; and outputting results data based on the object data for presentation to a user and obtained by executing the data-query by the database. 2. The method of claim 1 , wherein the edge represents a relationship between the respective objects in the low-latency database analysis system. 3. The method of claim 1 , wherein when the event is a failure, the reverting comprising: reverting to an earlier version of the graph-based ontological data structure. 4. The method of claim 1 , wherein when the event is a request, the reverting comprising: reverting to earlier versions of the nodes and edges identified in the request. 5. The method of claim 1 , wherein the transaction log identifies nodes and edges added or modified in a write transaction. 6. The method of claim 1 , wherein the graph-based ontological data structure is maintained as a linked chain of transactions, wherein each transaction includes added or modified nodes and edges.
Query translation · CPC title
Graphs; Linked lists (G06F16/9027 takes precedence) · CPC title
Query formulation · CPC title
Updates performed during online database operations; commit processing · CPC title
Locking methods, e.g. distributed locking or locking implementation details · CPC title
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