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Description
Establish clear standards within class libraries to ensure an efficient transfer of information from the outset of the project, while also aligning data needs with external systems. Implement recognized best practices for handling various taxonomies within a class library. Utilize industry, corporate, or regional layers and constructs to effectively model information in classes, both functional and physical, along with attributes at various tiers. Leverage the facility or project standards layer to inherit the aforementioned layers of information, enabling the easy development of project-specific standards. Additionally, present your class library in multiple languages to cater to a diverse multilingual workforce or clientele. Set foundational quality assurance criteria focused on compliance, consistency, and completeness, which should be clearly outlined in the established standards. With quality rules in place, you can develop a digital asset solution framework that will serve as the basis for constructing your dashboard or reports, providing timely status updates. Such a comprehensive approach will not only streamline processes but also enhance communication and understanding among all stakeholders involved in the project.
Description
The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AVEVA
Country
United Kingdom
Website
www.aveva.com/en/products/information-standards-manager/
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
lucene.apache.org
Product Features
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery