17972138. DATA OBJECT MANAGEMENT USING DATA OBJECT CLUSTERS simplified abstract (SAP SE)
Contents
DATA OBJECT MANAGEMENT USING DATA OBJECT CLUSTERS
Organization Name
Inventor(s)
Daniel Buchmann of Karlsruhe (DE)
DATA OBJECT MANAGEMENT USING DATA OBJECT CLUSTERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17972138 titled 'DATA OBJECT MANAGEMENT USING DATA OBJECT CLUSTERS
The abstract of this patent application describes techniques and solutions for defining clusters of data objects. An anchor data object is determined for the cluster, which is associated with a semantic concept. Other data objects in the cluster are also linked to the same semantic concept. Additional data objects related to the anchor data object or other objects in the cluster are added to further define the cluster. The cluster is given a name for identification purposes and can be used for various tasks such as replication, creating an application program interface, or defining a deployment task.
- Anchor data object is determined for the cluster
- Data objects in the cluster are associated with a semantic concept
- Additional data objects related to the anchor or other objects are added
- Cluster is given a name for identification
- Cluster can be used for replication, API creation, or deployment tasks
Potential Applications: - Data clustering and organization - Semantic concept association - Replication tasks - API creation - Deployment tasks
Problems Solved: - Efficient data clustering - Semantic organization of data objects - Simplifying replication and deployment tasks
Benefits: - Improved data organization - Enhanced semantic understanding - Streamlined replication and deployment processes
Commercial Applications: Title: Data Clustering and Semantic Association Technology This technology can be utilized in various industries such as data management, software development, and cloud computing. Companies can benefit from more efficient data organization, streamlined replication tasks, and simplified deployment processes.
Questions about Data Clustering and Semantic Association Technology: 1. How does this technology improve data organization and management? 2. What are the potential applications of this technology in software development?
Original Abstract Submitted
Techniques and solutions for defining clusters of data objects are provided. An anchor data object for the cluster is determined. The anchor data object is associated with a semantic concept. Other data objects included in the cluster are also associated with the semantic concept. One or more data objects that are related to the anchor data object are added to the cluster. Additional data objects, related to the one or more other data objects, or to other data objects of the additional data objects, are added to the cluster. The cluster is associated with a name, which can be used to identify data objects that are part of the cluster. The cluster can be used for a variety of purposes, including defining a replication task, for the creation of an application program interface, or for defining a deployment task that deploys at least a portion of cluster data objects.