Building Large Knowledge-based Systems

Building Large Knowledge-based Systems PDF Author: Douglas B. Lenat
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 408

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Book Description
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.

Building Large Knowledge-based Systems

Building Large Knowledge-based Systems PDF Author: Douglas B. Lenat
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 408

Get Book

Book Description
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.

Towards Very Large Knowledge Bases

Towards Very Large Knowledge Bases PDF Author: N. J. I. Mars
Publisher:
ISBN: 9784274900495
Category : Database design
Languages : en
Pages : 306

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Book Description


Towards Very Large Knowledge Bases

Towards Very Large Knowledge Bases PDF Author: N. J. I. Mars
Publisher: IOS Press
ISBN: 9789051992175
Category : Computers
Languages : en
Pages : 318

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Book Description
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.

Knowledge-Based Intelligent Information and Engineering Systems

Knowledge-Based Intelligent Information and Engineering Systems PDF Author: Bruno Apolloni
Publisher: Springer
ISBN: 354074827X
Category : Computers
Languages : en
Pages : 1372

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Book Description
Annotation The three volume set LNAI 4692, LNAI 4693, and LNAI 4694, constitute the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007, held in Vietri sul Mare, Italy, September 12-14, 2007. The 409 revised papers presented were carefully reviewed and selected from about 1203 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the first volume are artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, knowledge based and expert systems, hybrid intelligent systems, miscellaneous intelligent algorithms, intelligent vision and image processing, knowledge management and ontologies, Web intelligence, multimedia, e-learning and teaching, intelligent signal processing, control and robotics, other intelligent systems applications, papers of the experience management and engineering workshop, industrial applications of intelligent systems, as well as information engineering and applications in ubiquotous computing environments.

Distributed Computing and Artificial Intelligence, 12th International Conference

Distributed Computing and Artificial Intelligence, 12th International Conference PDF Author: Sigeru Omatu
Publisher: Springer
ISBN: 3319196383
Category : Technology & Engineering
Languages : en
Pages : 416

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Book Description
The 12th International Symposium on Distributed Computing and Artificial Intelligence 2015 (DCAI 2015) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Osaka Institute of Technology, Qatar University and the University of Salamanca.

Industrial Knowledge Management

Industrial Knowledge Management PDF Author: Rajkumar Roy
Publisher: Springer Science & Business Media
ISBN: 9781852333393
Category : Business & Economics
Languages : en
Pages : 600

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Book Description
Enter a magical world of friendship and fun! In the sixth book of the first Secret Kingdom series, every fairy in the kingdom is at Glitter Beach to watch the magic being renewed in the kingdom for another year. But Queen Malice is also nearby... Can Ellie, Summer and Jasmine save the glitter dust and keep the magic alive? Secret Kingdom is a brand new series full of the things girls love most: special friendships, secrets and magical adventures. Newly confident readers will be swept away by the magical stories of three children whose courage and resourcefulness save a fantastical land from disaster. Full of all the things little girls love best: special friendships, secrets and magical adventures, all set in an incredible kingdom! Eye-catching illustrations throughout. Become best friends with Ellie, Summer and Jasmine - plus Trixi the pixie! Help Ellie, Summer and Jasmine save the Secret Kingdom from wicked Queen Malice and her naughty storm sprites. A new exciting adventure in each and every book.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1460

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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

On Knowledge Base Management Systems

On Knowledge Base Management Systems PDF Author: Michael L. Brodie
Publisher: Springer Science & Business Media
ISBN: 1461249805
Category : Computers
Languages : en
Pages : 650

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Book Description
Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Foundations of Knowledge Base Management

Foundations of Knowledge Base Management PDF Author: Joachim W. Schmidt
Publisher: Springer Science & Business Media
ISBN: 3642833977
Category : Computers
Languages : en
Pages : 566

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Book Description
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.

Ontology-Based Applications for Enterprise Systems and Knowledge Management

Ontology-Based Applications for Enterprise Systems and Knowledge Management PDF Author: Nazir Ahmad, Mohammad
Publisher: IGI Global
ISBN: 1466619945
Category : Computers
Languages : en
Pages : 429

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Book Description
"This book provides an opportunity for readers to clearly understand the notion of ontology engineering and the practical aspects of this approach in the domains of two interest areas: Knowledge Management Systems and Enterprise Systems"--