Samsung SDS had three patents in big data during Q2 2024. Samsung SDS Co Ltd filed a patent for a method of embedding a knowledge graph, involving obtaining basic and qualifier instances with mask elements, generating embeddings for these instances, and predicting the mask element using a predictor. GlobalData’s report on Samsung SDS gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Samsung SDS had no grants in big data as a theme in Q2 2024.

Recent Patents

Application: Method for knowledge graph embedding using numeric data and hyper-relational information and system thereof (Patent ID: US20240119313A1)

The patent filed by Samsung SDS Co Ltd. describes a method for embedding a knowledge graph by obtaining basic knowledge instances and qualifier instances, generating embeddings for these instances, and predicting mask elements using a predictor. The method involves updating the embedder and predictor based on prediction results, utilizing a context encoder for analyzing associations between embeddings, and reflecting type information in the embeddings to distinguish between different instances.

Furthermore, the method includes aggregating element embeddings, analyzing associations among different instances, and predicting mask elements by inputting element embeddings to the predictor. The predictor consists of a context reflector and a prediction layer, with the ability to output predicted probability distributions for different types of entities or relations. Additionally, the method involves distinguishing between different prediction tasks based on the type and format of the mask element, sharing weight parameters between predictors, and generating complete knowledge instances based on prediction results for insertion into the knowledge graph.

To know more about GlobalData’s detailed insights on Samsung SDS, buy the report here.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.