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Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...
A question and answer system (or Q&A system) is an online software system that attempts to answer questions asked by users.Q&A software is frequently integrated by large and specialist corporations and tends to be implemented as a community that allows users in similar fields to discuss questions and provide answers to common and specialist questions.
Knowledge-based authentication, commonly referred to as KBA, is a method of authentication which seeks to prove the identity of someone accessing a service such as a financial institution or website. As the name suggests, KBA requires the knowledge of private information from the individual to prove that the person providing the identity ...
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
Socratic questioning (or Socratic maieutics) [1] is an educational method named after Socrates that focuses on discovering answers by asking questions of students. According to Plato, Socrates believed that "the disciplined practice of thoughtful questioning enables the scholar/student to examine ideas and be able to determine the validity of those ideas". [2]
Any existing knowledge base or knowledge material can be integrated provided it meets the minimum requirements: Reachable via a URL; The granularity conforms with the assessed questions in the way that the knowledge required to answer a question can be gathered from one to two web pages, i.e. the knowledge is not spread over too may pages
An increasing number of QA systems use the World Wide Web as their corpus of text and knowledge; however, many of these tools do not produce a human-like answer, but rather employ "shallow" methods (keyword-based techniques, templates, etc.) to produce a list of documents or a list of document excerpts containing the probable answer highlighted.
Expert systems gave us the terminology still in use today where AI systems are divided into a knowledge base, which includes facts and rules about a problem domain, and an inference engine, which applies the knowledge in the knowledge base to answer questions and solve problems in the domain. In these early systems the facts in the knowledge ...