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Description
Athens is an innovative, open-source platform designed for tech enthusiasts. It allows users to dynamically create, link, and enhance their research and documentation through a collaborative knowledge graph. Engage with over 2,500 individuals who share a passion for learning, explore new research methodologies, and contribute to shaping the future of self-hosted knowledge graphs. In today's fast-paced world, we often find ourselves overwhelmed by information overload. While note-taking is essential to retain knowledge, the sheer volume of notes can become unmanageable. Traditional search functionalities often fall short, folder systems can be cumbersome, and tagging is frequently overlooked. Athens revolutionizes note-taking by eliminating the reliance on inefficient search methods, the frustration of navigating complex folders, and the hassle of manual tagging. Athens Research fosters a remote learning community dedicated to creating a powerful, transparent, and open-source knowledge repository; this endeavor culminates in Athens, a free knowledge graph tailored for research and note-taking. Built on principles of openness, privacy, extensibility, and community engagement, Athens provides users with a unique platform to enhance their knowledge-sharing experience. Ultimately, Athens empowers individuals to streamline their note-taking processes while fostering collaboration and innovation.
Description
At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system.
The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.
API Access
Has API
API Access
Has API
Integrations
Advantage
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
Athens
Website
www.athensresearch.org
Vendor Details
Company Name
Iris.ai
Founded
2015
Country
Norway
Website
iris.ai/
Product Features
Idea Management
Activity Dashboard
Brainstorming
Collaboration
Creator Tracking
Idea Ranking
Project Tracking
Status Tracking
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis