International Business Machines Corporation

Matthias Biniok

Frederik Frank Flöther

Erik Rueger

Stefan Ravizza

Stefan A G Van Der Stockt

Saurabh Yadav

Patrick Lustenberger

David Ocheltree

Maximilian Ott

In an approach, a processor creates a multi-layered knowledge graph (KG), wherein a first layer is a core KG, a second layer has application-specific structured facts, and a third layer has individualized facts. A processor adapts weights in each layer of the multi-layered KG based on the individualized facts. A processor uses, as input data to the multi-layered KG, individual environmental data. A processor maps the input data to the multi-layered KG in a sequence of the first layer, the second layer, and the third layer. A processor selects, as relevant nodes in the first layer and the second layer, the relevant nodes lying on a selected path from the input data via the first layer, the second layer, and the third layer having the highest average weight value along the selected path. A processor outputs facts of the relevant nodes from the first layer and the second layer.

Environment augmentation based on individualized knowledge graphs

A computer-implemented method for managing updates to a knowledge graph with incoming change requests is disclosed. The method comprises creating a snapshot of the knowledge graph, building sub-regions of the knowledge graph, classifying each incoming change to the knowledge graph so that it relates to one of the sub-regions, creating at least one change layer, wherein each of the at least one change layer relates to one of the sub-regions, wherein each of the at least one change layer comprises a portion of the incoming change requests, closing the at least one change layer upon reaching a predetermined threshold value for the at least one change layer, and integrating the at least one change layer into the knowledge graph, thereby generating a updated knowledge graph.

Knowledge graph update using change layers

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Marburg, Germany

Matthias Biniok