Whois & Analysis for diffbot.com

In computer science and information science, an ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain of discourse.

It is thus a practical application of philosophical ontology, with a taxonomy.

Machine learning is the subfield of computer science that, according to Arthur Samuel in 1959, gives "computers the ability to learn without being explicitly programmed." Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.

Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or unfeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank and computer vision.

Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos.

From the perspective of engineering, it seeks to automate tasks that the human visual system can do.

Diffbot is a developer of machine learning and computer vision algorithms and public APIs for extracting data from web pages / web scraping.

The company was founded in 2008 at Stanford University and was the first company funded by StartX (then Stanford Student Enterprises), Stanford's on-campus venture capital fund.

Data scraping is a technique in which a computer program extracts data from human-readable output coming from another program.