Towards Very Large Knowledge Bases
DOWNLOAD
Download Towards Very Large Knowledge Bases PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Towards Very Large Knowledge Bases book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Towards Very Large Knowledge Bases
DOWNLOAD
Author : N. J. I. Mars
language : en
Publisher: IOS Press
Release Date : 1995
Towards Very Large Knowledge Bases written by N. J. I. Mars and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
In the early days of artificial intelligence it was widely believed that powerful computers would, in the future, enable mankind to solve many real-world problems through the use of very general inference procedures and very little domain-specific knowledge. With the benefit of hindsight, this view can now be called quite naive. The field of expert systems, which developed during the early 1970s, embraced the paradigm that Knowledge is Power - even very fast computers require very large amounts of very specific knowledge to solve non-trivial problems. Thus, the field of large knowledge bases has emerged.
Foundations Of Knowledge Base Management
DOWNLOAD
Author : Joachim W. Schmidt
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Foundations Of Knowledge Base Management written by Joachim W. Schmidt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.
Building Large Knowledge Based Systems
DOWNLOAD
Author : Douglas B. Lenat
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1989
Building Large Knowledge Based Systems written by Douglas B. Lenat and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.
Acquisition Of Very Large Knowledge Bases
DOWNLOAD
Author : Sergei Nirenburg
language : en
Publisher:
Release Date : 1988
Acquisition Of Very Large Knowledge Bases written by Sergei Nirenburg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Expert systems (Computer science) categories.
Knowledge Acquisition Selected Research And Commentary
DOWNLOAD
Author : Sandra Marcus
language : en
Publisher: Springer
Release Date : 1990-01-31
Knowledge Acquisition Selected Research And Commentary written by Sandra Marcus and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-31 with Computers categories.
What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.
Knowledge Acquisition
DOWNLOAD
Author : Sandra Marcus
language : en
Publisher:
Release Date : 1990-01-31
Knowledge Acquisition written by Sandra Marcus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-31 with categories.
Speeding Up Inferences In Large Knowledge Bases
DOWNLOAD
Author : Stanford University. Computer Science Department. Knowledge Systems Laboratory
language : en
Publisher:
Release Date : 1993
Speeding Up Inferences In Large Knowledge Bases written by Stanford University. Computer Science Department. Knowledge Systems Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Information Modelling And Knowledge Bases Iii
DOWNLOAD
Author : Setsuo Ohsuga
language : en
Publisher: IOS Press
Release Date : 1992
Information Modelling And Knowledge Bases Iii written by Setsuo Ohsuga and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.
Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.
Knowledge Selection In Large Knowledge Bases
DOWNLOAD
Author : Dimitris Karagiannis
language : de
Publisher:
Release Date : 1991
Knowledge Selection In Large Knowledge Bases written by Dimitris Karagiannis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Machine Knowledge
DOWNLOAD
Author : Gerhard Weikum
language : en
Publisher: Now Publishers
Release Date : 2021-07-12
Machine Knowledge written by Gerhard Weikum and has been published by Now Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with categories.
This book surveys fundamental concepts and practical methods for creating and curating large knowledge bases.