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Reuse and Recycle Knowledge, Not Only Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Third EAGE Digitalization Conference and Exhibition, Mar 2023, Volume 2023, p.1 - 5
Abstract
Exploration, development, and investment decisions in any energy project requires consistent, trusted, and auditable technical and economic support material, that often takes too long to create and delivers results that are not comparable. In particular, valuable time is wasted while trying to find adequate knowledge and data or by duplicating work. If the users could easily access, consume, and recycle corporate knowledge digitally, which contains the direct link back to the raw data, considerable time and cost would be saved and results would be more consistent helping to support corporate decisions.
One technology to efficiently search corporate digital knowledge is the knowledge graph using defined ontologies enabling deep and efficient utilization of corporate knowledge. The knowledge graph accommodates the relationships inherent to the knowledge and associated data. By using a graph database, information can be accessed that enables users to find the knowledge and data they require, thus saving valuable time and cost.