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What is Wikimedia Enterprise?

Collect data from Wikimedia projects in multiple languages, employ metadata tailored for Wikimedia Enterprise, and detect instances of vandalism or notable alterations at the article level. By harnessing Wikimedia Enterprise, your organization can unlock a multitude of opportunities, such as constructing knowledge graphs, creating voice assistants or bots, training advanced models, and producing rich datasets, among various other uses. With access to one of the largest public data collections available, you can enjoy a unified framework and guaranteed accessibility. This valuable resource is perfect for boosting the capabilities of voice assistants, enhancing the quality of search engine results, training machine learning models, and enriching proprietary datasets. Moreover, equip your organization to establish a knowledge graph that fosters collaboration among different teams, ultimately driving increased efficiency and innovation across all departments. This interconnected approach not only streamlines processes but also cultivates a culture of shared knowledge and continuous improvement.

What is TopBraid?

Graphs serve as one of the most versatile formal data structures, enabling the clear mapping of different data formats while effectively depicting the explicit connections between items, thereby promoting the integration of new data points and the examination of their relationships. The semantics of the data are well-articulated, utilizing formal techniques for both inference and validation. Acting as a self-descriptive data model, knowledge graphs not only facilitate data validation but also yield valuable insights concerning necessary modifications to meet data model standards. The importance of the data is inherently captured within the graph, often illustrated through ontologies or semantic structures, enhancing their self-descriptive quality. Knowledge graphs are specifically equipped to manage a diverse array of data and metadata, evolving and adapting over time similar to living entities. This characteristic makes them particularly effective for navigating and interpreting complex datasets in ever-changing environments. Ultimately, the dynamic nature of knowledge graphs underscores their critical role in modern data management strategies.

Media

Media

Integrations Supported

Openverse

Integrations Supported

Openverse

API Availability

Has API

API Availability

Has API

Pricing Information

$.01 per request
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Wikimedia Enterprise

Company Website

enterprise.wikimedia.com

Company Facts

Organization Name

TopQuadrant

Company Location

United States

Company Website

www.topquadrant.com

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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