Terms index
§ 05 · Term Glossary

Metadata discovery

185Simple

Gematria values

§ 01
Standard systems6 methods
Standard68red. 5
Simple185red. 5
English1110red. 3
Hebrew1583red. 8
Satanic6660red. 9
ALW Kabbalah2023red. 7
Reverse systems6 methods
Standard103red. 4
Simple274red. 4
English1644red. 6
Hebrew3358red. 1
Satanic9864red. 9
ALW Kabbalah5408red. 8

About Metadata discovery

§ 02

Data harvesting, also known as data scraping or web scraping, is the automated process of collecting large volumes of data from various sources, such as websites, databases, or social media platforms. In Hebrew, this concept is translated as איסוף נתונים. In Spanish, it is known as extracción de datos, and in German, it is referred to as Datenernte or Datenabgrabe. This practice often involves the use of bots or web crawlers to systematically gather information, which can then be analyzed for various purposes, including market research, business intelligence, and academic studies. Data harvesting can be both legal and illegal, depending on the methods used and the terms of service of the data source. Ethical concerns arise when data is collected without consent or in violation of privacy laws, such as the General Data Protection Regulation (GDPR) in the European Union. The practice has become increasingly prevalent with the rise of big data and the internet, leading to debates about privacy, security, and the responsible use of technology.

Wikipedia Information

Metadata discovery

Process of discovering semantics of data elements

In metadata, metadata discovery is the process of using automated tools to discover the semantics of a data element in data sets. This process usually ends with a set of mappings between the data source elements and a centralized metadata registry. Metadata discovery is also known as metadata scanning.

Last modified 2025-10-05T00:36:52ZView full article