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The normalized Google distance (NGD) is a semantic similarity measure derived from the number of hits returned by the Google search engine for a given set of keywords. [1] Keywords with the same or similar meanings in a natural language sense tend to be "close" in units of normalized Google distance, while words with dissimilar meanings tend to ...
Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [ 1 ] and is "one of the important basic" [ 2 ] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.
We need outside information about what the name means. Using a data base (such as the internet) and a means to search the database (such as a search engine like Google) provides this information. Every search engine on a data base that provides aggregate page counts can be used in the normalized Google distance (NGD). A python package for ...
Google Workspace (formerly G Suite until October 2020 [201]) is a monthly subscription offering for organizations and businesses to get access to a collection of Google's services, including Gmail, Google Drive and Google Docs, Google Sheets and Google Slides, with additional administrative tools, unique domain names, and 24/7 support.
10.7.6: 2024-10-15 [39] Proprietary, Standard and Enterprise Editions are commercial, Free Edition is freeware: Java: Highly efficient and robust semantic graph database with RDF and SPARQL support, also available as a high-availability cluster. Integrates OpenRefine for ingestion and reconciliation of tabular data and ontop for Ontology-Based ...
Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS). [ 1 ]
The normalized compression distance has been used to fully automatically reconstruct language and phylogenetic trees. [2] [3] It can also be used for new applications of general clustering and classification of natural data in arbitrary domains, [3] for clustering of heterogeneous data, [3] and for anomaly detection across domains. [5]
A single persistent disk can be attached to multiple instances in read-only mode. Each persistent disk can be up to 10 TB in size. Google Compute Engine encrypts the persistent disks with AES-128-CB, and this encryption is applied before the data leaves the virtual machine monitor and hits the disk. Encryption is always enabled and is ...