{"id":2697,"date":"2021-02-02T05:03:06","date_gmt":"2021-02-02T10:03:06","guid":{"rendered":"http:\/\/inova8.com\/bg_inova8.com\/?p=2697"},"modified":"2021-09-18T03:42:41","modified_gmt":"2021-09-18T08:42:41","slug":"intelligent-graph-knowledge-graph-embedded-analysis","status":"publish","type":"post","link":"https:\/\/inova8.com\/bg_inova8.com\/intelligent-graph-knowledge-graph-embedded-analysis\/","title":{"rendered":"Intelligent Graph = Knowledge Graph + Embedded Analysis"},"content":{"rendered":"
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IntelligentGraph embeds calculation and analysis capability within RDF knowledge graphs, rather than forcing analysis to be undertaken by exporting query results to external analysis applications such as Excel.<\/span><\/p>\n

IntelligentGraph achieves this by embedding scripts into the RDF knowledge graph which are evaluated when queried with SPARQL.<\/span><\/p>\n

Scripts, written in a variety of languages such as JavaScript, Java, and Python, access the underlying graph using simple pathPatternQL navigation.<\/p>\n

IntelligentGraph=KnowledgeGraph+Embedded Analysis.pdf<\/a><\/span><\/p><\/p>\n

Why IntelligentGraph?<\/h1>\n

At present calculations over stored data are either delivered by custom code or exporting the stored data to spreadsheets. The data behind these tools is inevitably tabular. In fact, so dominant are spreadsheets for analysis that the spreadsheet itself becomes the \u2018database\u2019 with the inherent difficulties of syncing that data with the source system of record.<\/span><\/p>\n

The real-world is better represented as a network or graph of interconnected things Therefore a knowledge graph is a far better storage organization than tables or objects. However, there is still the need to perform ad hoc numerical analysis over this data. <\/span><\/p>\n

RDF DataCube can help organize data for analysis, but still the analysis has to be performed externally. Confronted with this dilemma, knowledge graph data would typically be exported in tabular form to a datamart or directly into, yet again, a spreadsheet where the analysis could be performed.<\/span><\/p>\n

IntelligentGraph turns this approach on its head by embedding the calculations as scripts within the knowledge graph. These scripts are evaluated on query, and utilise the data in situ: no concurrency issues.. This allows the calculations to have knowledge of its neighbouring nodes and edges, just like Excel cells can access other cells in the spreadsheet. Access to other nodes within the graph uses pathPatternQL navigation.<\/span><\/p>\n

Example Data and Analysis<\/h1>\n

An Industrial Internet of Things (IIoT) application is connecting all the measurements about a process plant, such as an oil refinery, into a knowledge graph that relates the measurements to the material flows through the process equipment.<\/span><\/p>\n

Although there is an abundance of measurements and laboratory analyses available, the values required for operating and performance monitoring are not (and mostly cannot) be directly measured. <\/span><\/p>\n

For example:<\/span><\/p>\n