1887

Abstract

Summary

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.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202332031
2023-03-20
2024-04-28
Loading full text...

Full text loading...

References

  1. Blumauer, A. and Nagy, H. [2020]. The Knowledge Graph cookbook. Recipes that work, 1st edition, Semantic Web Company, monochrome, Vienna, Austria, ISBN 978-3-902796-70-7
    [Google Scholar]
  2. Merriam Websterhttps://www.merriam-webster.com/ (accessed by Cassandra Warren on 21st December 2022)
    [Google Scholar]
  3. Warren, C., Wray, C., Castagnac, Eberhard, B. and Lipinski, B. [2021], Capturing live Knowledge and Insights; Breaking the silos, Proceedings AAPG Image 2021
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202332031
Loading
/content/papers/10.3997/2214-4609.202332031
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error