An Introduction to the CYC Knowledge Base
I. Abstract
This paper is intended to be an introductory tutorial on the Very Large Knowledge Base (VLKB) called CYC. Described herein is the reasoning for the origination of the CYC project, the intended usefulness of the project (application areas), how CYC is being constructed, and a brief introduction to the supporting tools that have been developed to interact with the CYC knowledge base.
II. Introduction
Many Knowledge Bases (KB) have been developed to help people solve problems in very specific applications. These are relatively simple to build since the knowledge required by the specific system needs to be only those facts required to solve the problem in that particular application. An example of this type of KB would be one that contains only the information needed to diagnose particular fungal and bacterial infections. The KB would need to know about the different attributes of the microscopic organisms and their affects on the host but would not need to know that the grass is green or that the earth revolves around the sun.
The CYC common sense Knowledge Base takes the opposite approach. CYC is being created to hold information that most people would consider to be common sense knowledge. The idea is to create a KB that would supply the basic knowledge needed to be applicable to many different applications. By building a KB with this general knowledge, it is hoped that the KB will be able to learn (create new inferences) by itself and be able to tell when it does not have enough information in a particular domain to resolve a problem.
The CYC project was started by Doug Lenat at MCC (Microelectronics and Computer Technology Corporation, now Cycorp, Inc.) in Aust...
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...nology", Cycorp, Inc, http://www.cyc.com
Ginsberg, Matthew L., Essentials of Artificial Intelligence. Morgan Kaufmann, 1993. ISBN 1-55860-221-6
Lenat, D.B., Guha, R.V., "Ideas for Applying CYC", Cycorp, Inc, http://www.cyc.com/tech-reports/act-cyc-407-91/act-cyc-407-91.html
Mayfield, James; Finin, Tim; Narayanaswamy, Rajkumar; Shah, Chetan; MacCartney, William; Goolsbey, Keith, "The Cycic Friends Network: getting Cyc agents to reason together", University Of Maryland - Baltimore County, http://www.cs.umbc.edu/~cikm/iia/submitted/viewing/mayfield
Pratt, Vaughan, "CYC Report", Stanford University, April 16, 1994, http://www.cs.umbc.edu/~narayan/proj/cyc-critic.html
Rajkumar & Shah, "A Study to assess the usefulness of CYC in a mediated architecture", University Of Maryland - Baltimore County, CYC KQML Project, http://www.cs.umbc.edu/~narayan/proj/doc.html
Adults A Child and Youth Professional (CYC) supports adults in their lives in countless ways. They act as advocates, mentors and teachers to parents that are or have been in difficult situations. Some of these situations are, but not limited to, teaching parents to cook and clean, creating a safe environment for their children that may be involved, and facilitating crisis intervention. As a CYC helping parents and young adults, there are two approaches that are used. The term for the first approach is the surface approach.
Pompiliu, M., & Ioana, C., (2008). Knowledge Management Architecture – Principles and Tendencies, Informatica Economică, 4(48), 65-68,
The paper will show how KSCS lines up with every competency that is required from CSWE. KSCS is fueled by clinicians that promote social change, helping client 's problem solving in human relationships and the empowerment and liberation of people to enhance well-being. The main goal of social work is to strengthen people’s ability, which are vulnerable, oppressed, and living in poverty; to cope with tasks and problems that they face. Moreover, it is necessary to pay particular attention to promoting improvements in the environment to meet clients’ needs more adequately.
In accordance to abiding by child and youth care principles, the child and youth care worker must constantly keep their emotions in check, especially if sensitive topics come up or if the child’s experiences relate to one of their own. The emotional intensity felt in a live-in family situation feels a lot more ‘close to home’, especially the more involved the care worker is with the family. CYCs in this sector may be in interpersonal conflict with adults in the setting more than any other milieu, because they are living in or working within close contact to the home (Dimitoff, 2000). If the parents feel helpless, hopeless or angry, these emotions can surface and be directed at the care worker. The parents may try to attack the care worker, and the care worker must maintain professional etiquette and emotional regulation even if their instinct is to react (Dimitoff, 2000). The child and youth care worker must be comfortable with emotion – their own, the child’s as well as the child’s family.
A case referring to the beneficial use of the expert systems in the health sector was the attempt of the LDS Hospital in Salt Lake city,Utah to build “ the most complex artificial intelligence system ever created'; according to the words of DR David Classen.Its name was AIC or “Antibiotic Computer Consultant'; and it was part of HELP(Health Evaluation through Logical Processing), which was LDS’s hospital information system. The latter was existed, before the implementation of the Expert System.
Information and Software Technology Years 7–10: Syllabus. (2003, June). Retrieved April 10, 2014, from http://www.boardofstudies.nsw.edu.au/syllabus_sc/pdf_doc/info_soft_tech_710_syl.pdf
All the data which is being used will be processed based on knowledge base which will help Autolib develop their ideas and help them to achieve their goals. Finally we can say that the Autolib has used all the features of the knowledge base intelligence successfully to achieve the success for their organization and achieve a simple solution to solve complex problems. We can assume that Autolib along with IER has used most of the principles of KBS not only for designing a new solution but also delivered it in the time span of 7 months which has received high recognition among people and help them commute easily and save around 90% of their earnings by subscribing with their organization rather than maintaining a car and providing customers with more options, programs which support the vision of a greener city with less noise and air pollution.
The case based reasoning system proposed here mimics the human decision making process by learning from previous experience and using the knowledge to solve current problem. This system will utilize previous adverse episodes and their solutions to prevent reoccurrences, and also to detect the oc...
KNOWLEDGEBOARD. 2002. Case Study: The Siemens ICN Knowledge Management Challenge: ICN/ICM ShareNet [Online]. Available: http://www.providersedge.com/docs/km_articles/Siemens_ICN_KM_Challenge.pdf [Accessed 01/04/2011 2011].
Imagine asking your computer to do something in the same way you would ask a friend to do it. Without having to memorize special commands that only it could understand. For computer scientists this has been an ambitious goal; that can further simplify computers. Artificial Intelligence, a system that can mimic human intelligence by performing task that usually only a human can do, usually has to use a form of natural language processing. Natural language processing, a sub-field of computer science and artificial intelligence, concerns the successfully interaction between a computer and a human. Currently one of the best examples of A.I.(Artificial Intelligence) is IBM 's Watson. A machine that gained popularity after appearing on the show
Most of the day the human mind is taking in information, analyzing it, storing it accordingly, and recalling past knowledge to solve problems logically. This is similar to the life of any computer. Humans gain information through the senses. Computers gain similar information through a video camera, a microphone, a touch pad or screen, and it is even possible for computers to analyze scent and chemicals. Humans also gain information through books, other people, and even computers, all of which computers can access through software, interfacing, and modems. For the past year speech recognition software products have become mainstream(Lyons,176). All of the ways that humans gain information are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computer's main function in today's society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons).
unified because reasoning and problem solving may involve several areas simultaneously. A robot circuitrepair syste m, for instance, needs to reason about circuits in terms of electrical connectivity and physical layout, and about time both for circuit timing analysis and estimating labor costs. The sentences describing time therefore must be capable of being combined w ith those describing spatial layout, and must work equally well for nanoseconds and minutes, and for angstroms and meters. After we present the general ontology, we will apply it to write sentences describing the domain of grocery shopping. A brief reverie on the subject of shopping brings to mind a vast array of topics in need of representation: locations, movement, physical objects, shapes, sizes, grasping, releasing, colors, categories of objects, anchovies, amounts of stuff, nutrition, cooking, nonstick frying pans, taste, time, money, direct debit cards, arithmetic, economics, and so on. The domain is more than adequate to exercise our ontology, and leaves plenty of scope for the reader to do some creative knowledge representation of his or her own. 228 Chapter 8. Building a Knowledge Base Our discussion of the
According to article of Tengku Adil, Mohd Shamsul, Mohammad Fazli, Ahmad Nadzri, & Ahmad Azman, (2017) importance of data literacy is to improve knowledge management practices is the organizations refers to technologies to create, stores, retrieves and distributes knowledge for order to support their decision making and the technologies such as knowledge management systems (KMS) is to allow organizations to get many benefit vast amounts of business intelligence. The technologies allow people to support report, store current and historical data and consolidate data for management analysis and decision makings.
Gates and Allen soon got many opportunities to prove their computer skills. In 1972, they started their own company called 'Traf-O-Data.' They developed a portable computer that allowed them t...