01-11-2016, 04:13 PM
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Abstract:
WolframAlpha introduces a fundamentally new way to get knowledge and answers not by searching the web, but by doing dynamic computations based on a vast collection of built-in data, algorithms, and methods. WolframAlpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. As we know cognitive computaion is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.
Stephen Wolfram (born 29 August 1959) is a British scientist known for his work in computer science, mathematics, and in theoretical physics. He is the author of the book A New Kind of Science. In 2012 he became a fellow of the American Mathematical Society. He is the founder and CEO of the software company Wolfram Research where he worked as chief designer of Mathematica and the Wolfram Alpha answer engine. His recent work has been on knowledge-based programming, expanding and refining the programming language of Mathematica into what is now called the Wolfram Language. His book An Elementary Introduction to the Wolfram Language appeared in 2015. In this paper part 1 to 6 covers the introduction, goals, history,a new kind of science (NKS), gallery with examples and conclusion respectively. Author(s) are motivated by the workdone by wolfram, and willing to broadcast possible range of people in education levels. By doing dynamic computaions in multi research fields.
Key words: Stephen Wolfram, WolframAlpha answer engine, A New Kind of Science(NKS).
1. Introduction: Making the world’s knowledge computable
In March 2009, Wolfram announced WolframAlpha, an answer engine. WolframAlpha later launched in May 2009, and a paid-for version with extra features launched on February 2012. The engine is based on natural language processing and a large library of algorithms, and answers queries using the approach described in A New Kind of Science. The application programming interface allows other applications to extend and enhance Alpha. Wolfram believes that as Wolfram Alpha comes into common use, "It will raise the level of scientific things that the average person can do."
WolframAlpha is one of the answer engines behind Microsoft's Bing and Apple's Siri answering factual questions. Answer engine is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language. A QA implementation, usually a computer program, may construct its answers by querying a structured database of knowledge or information, usually a knowledge base. More commonly, QA systems can pull answers from an unstructured collection of natural language documents, but WolframAlpha is not a search engine. Search engines index web pages, then look for textual matches, then give you lists of links to follow. WolframAlpha uses built-in knowledge organized by human experts to compute on the fly a specific answer and analysis for every query.
2. Goals
WolframAlpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. Wolfram and team targeted to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries. WolframAlpha aims to bring expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels. They say “Our goal is to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity”. WolframAlpha is an ambitious, long-term intellectual endeavor that we intend will deliver increasing capabilities over the years and decades to come. With a world-class team and participation from top outside experts in countless fields, our goal is to create something that will stand as a major milestone of 21st century intellectual achievement.
3. History
The quest to make knowledge computable has a long and distinguished history. Indeed, when computers were first imagined, it was almost taken for granted that they would eventually have the kinds of question-answering capabilities that we now begin to see in WolframAlpha. What has now made WolframAlpha possible today is a somewhat unique set of circumstances—and the singular vision of Stephen Wolfram. For the first time in history, computers that are powerful enough to support the capabilities of WolframAlpha, and we have the web as a broad-based means of delivery. But this technology alone was not enough to make WolframAlpha possible. What was needed were two developments that have been driven by Stephen Wolfram over the course of nearly 30 years.
a. Wolfram Mathematica
The first was Mathematica—the system in which all of WolframAlpha is implemented. Mathematica has three crucial roles in WolframAlpha. First, it’s very general symbolic language provides the framework in which all the diverse knowledge of WolframAlpha is represented and all its capabilities are implemented. Second, Mathematica's vast web of built-in algorithms provides the computational foundation that makes it even conceivably practical to implement the methods and models of so many fields. And finally, the strength of Mathematica as a software engineering and deployment platform makes it possible to take the technical achievements of Wolfram|Alpha and deliver them broadly and robustly.
b. Computational Knowledge Engine
We can ask to WolframAlpha, a computational knowledge engine, about different topics with several examples. Viz Mathematics, Words & Linguistics, Units& Measures, Statistics & DataAnalysis, People& History, Dates & Times, Chemistry,Culture & Media,Money & Finance, Image input,Physics,Art&Design, SocioEconomic Data, AstronomyMusic,Health&Medicine,Engineering,Places&Geography,Food&Nutrition,Education,Materials,EarthSciences,Shopping,Organisations,LifeSciences,Weahter&Meterology,TechnologicalWorld,Sports&games,Computatinal Sciences,Transportation,Web & computer systems and many more.
4. A New Kind of Science
Beyond Mathematica, another key to WolframAlpha was A New Kind of Science (NKS). Many specific ideas from NKS—particularly related to algorithms discovered by exploring the computational universe—are used in the implementation of WolframAlpha. But still more important is that the very paradigm of NKS was crucial in imagining that WolframAlpha might be possible. WolframAlpha represents a substantial technical and intellectual achievement. But to build it required not just unique technology and ideas, but also the experience of 20 years of long-term R&D and ongoing development of robust technology at Wolfram Research. WolframAlpha's world-class team draws from many fields and disciplines and has unique access to experts across the globe. But what ultimately made WolframAlpha possible was a singular commitment to the goal of making all the world's systematic knowledge computable.
5. Gallery with Examples:
a. Mathematics: Pi is defined, in Euclidean geometry, as a constant which is the ratio of a circle's circumference to its diameter.Pi is a challenge to memorize because the number of digits in it are infinite, and there's no discernable pattern anywhere to the order of the digits.Pi to 1000 digits using WolframAlpha
Number conversion
The binary number system is the most importanta in digital system as it is very easy to implement in circuitry. The binary system is used internally by almost all modern computers and computer-based devices. Each digit is referred to as a bit.
The number system that we use in our day-to-day life is the decimal number system. Decimal number system has base 10 as it uses 10 digits from 0 to 9. In decimal number system, the successive positions to the left of the decimal point represent units, tens, hundreds, thousands and so on.
In mathematics and computing, hexadecimal (also base 16, or hex) is a positional numeral system with a radix, or base, of 16. It uses sixteen distinct symbols, most often the symbols 0–9 to represent values zero to nine, and A, B, C, D, E, F (or alternatively a, b, c, d, e, f) to represent values ten to fifteen.
Like wise conversion of any numbers from one to another base with any higher values is possible by using WolframAlpha,
Conclusion:
WolframAlpha is more than a search engine. It gives you access to the world's facts and data and calculates answers across a range of topics, including Mathematics, Engineering,Education,Statistics, Chemistry,Culture & Media,Money & Finance, Image input,Physics,Art&Design, SocioEconomic Data, Astronomy, Music, Health & Medicine,Places&Geography,Food&Nutrition,Education,Materials,EarthSciences,Shopping,Organisations,LifeSciences,Weahter&Meterology,TechnologicalWorld,Sports&games,Computatinal Sciences,Transportation,Web & computer systems and many more.Author(s) are motivated by the workdone by wolfram, and willing to broadcast possible range of people in education levels.