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| | Knowledge representation - Wikipedia, the free encyclopedia |
 | | However, even simple systems based on this simple logic can be used to represent data that is well beyond the processing capability of current computer systems: see computability for reasons. | | | Knowledge representation is needed for library classification and for processing concepts in an information system. | | | Representing the knowledge in one way may make the solution simple, while an unfortunate choice of representation may make the solution difficult or obscure; the analogy is to make computations in Arabic numerals or in Roman numerals; long division is simpler in one and harder in the other. |
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http://en.wikipedia.org/wiki/Knowledge_representation
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| | [No title] |
| | Linguistic Knowledge Representation Language The first generation of situation control software was implemented at the mainframes and special packages were developed. | | | Problem Knowledge Representation Tools Frame/2 system [12] is developed in Ryazan Radiotechnical Institute in collaboration with Computer Center of Russian Academy of Sciences within the context of PIES Workbench project [13]. | | | Development of new methods of knowledge representation and knowledge processing based on classical approaches is a promising way to formalization and unification of intelligent systems design. |
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http://www.ras.ru/ph/0005/66SNSXIX.doc
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| | Knowledge Representation [CiteSeer; NEC Research Institute; Steve Lawrence, Kurt Bollacker, Lee Giles] |
| | Knowledge bases, data bases and object-oriented systems (referred to in the paper as Object-Centered systems) all rely on attributes as the main construct used to associate properties to objects; amon... | | | When Newell introduced the concept of the knowledge level as a useful level of description for computer systems, he focused on the representation of knowledge. | | | One of the main characteristics of knowledge representation systems based on the description of concepts is the clear distinction between terminological and assertional knowledge. |
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http://citeseer.ist.psu.edu/ArtificialIntelligence/KnowledgeRepresentation
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| | PARKA-DB: A Scalable Knowledge Representation System |
| | In contrast to knowledge representation systems, the upper bound on the size of a database is not limited by the size of main memory, but rather by the size of external storage. | | | They allow a complex structural representation of the data (knowledge) that allows inferencing and complex query evaluation to be performed. | | | Knowledge representation systems, however, have strengths unavailable to normal database systems. |
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http://www.cs.umd.edu/projects/plus/Parka/parka-db.html
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| | Enabing Technolgy for Knowledge Sharing |
| | The goal of this group is to specify a language for communicating knowledge between computer programs (as opposed to a language for the internal representation of knowledge within computer programs). | | | Intelligent systems will be used and deployed in environments that require them to interact with a complex of other software components. | | | It is developing a set of protocols for interaction that would allow a knowledge-based system to obtain knowledge from another knowledge-based system (or, possibly, a conventional database) by posting a query to this system and receiving a response. |
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http://www.isi.edu/isd/KRSharing/vision/AIMag.html
(10499 words)
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| | [No title] |
| | The purpose of this paper is to explore some of the consequences of the move to parallelism for knowledge representation systems, and in particular, to challenge some almost universally accepted principles for the process of interpretation used in such systems. | | | The knowledge base must time-share the processes of accepting queries from the user with performing search to process those queries and updating the display dynamically as a result. | | | A system which is perceived by its user as responsive is considered efficient, even if it "wastes" computation time over the long run. |
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http://lcs.www.media.mit.edu/people/lieber/Lieberary/AI/PIKRL/PIKRL.html
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| | Knowledge Representation Model Concepts for Information Systems |
| | This Instantiation/Classification concept is one of many which exist in cognitive psychology and provide Knowledge Representation Models with a high degree of intuitiveness in order for software programmes to be better understood by their human users. | | | Any software programme which handles information systems was developed on the basis of Information and Knowledge Representation Models and Concepts (KRM) which deal with Knowledge structure (how we understand, communicate, represent and breakdown knowledge) in the same way languages do. | | | Renate Motschnig is an Associate Professor at the Applied Computer and Information System Institute of the University of Vienna. |
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http://www.univie.ac.at/Schroedinger/1_97/memo19.htm
(578 words)
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| | PC AI - Expert Systems |
| | Focuses on knowledge representation for sharable engineering knowledge bases and systems, computational environments for modeling physical devices, architectures for adaptive intelligent systems, and expert systems for science and engineering. | | | This program knowledge is often embedded as part of the programming code, so that as the knowledge changes, the program has to be changed and then rebuilt. | | | Links to information on decision/risk analysis which is a philosophy, a body of knowledge, and a professional practice for the logical illumination of decision problems; it simultaneously considers the uncertain, dynamic, and complex consequences of a decision, as well as the assignment of value to its consequences. |
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http://www.pcai.com/web/ai_info/expert_systems.html
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| | Open Directory - Reference: Knowledge Management: Knowledge Representation: Systems |
| | Knowledge Explorer - KR is a knowledge representation language combining English-like statements, commands and questions with UNIX-like conditionals, loops and methods. | | | Classic Knowledge Representation System - Features description of the software framework and implemented systems, as well as information on machine learning applied to description logics. | | | CLIPS - Productive expert system development and delivery tool; a full environment for creating rule and/or object based expert systems. |
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http://dmoz.org/Reference/Knowledge_Management/Knowledge_Representation/Systems
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| | Knowledge representation systems - Features - www.pcauthority.com.au |
| | They attempted to design systems that could represent knowledge of a virtual world that was less messy than the one we live in; things like a box full of blocks which the computer could be asked to move around with a virtual arm. | | | All of the knowledge the systems had needed to represent in their neat and tidy little VR domains had a very specific context - the contents of the virtual environment and the things you could do in it. | | | Having realized that the world is a big, hairy place full of difficult problems, researchers pursuing the knowledge representation question made a strategic retreat into simplified, virtual worlds, modeled inside computers. |
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http://www.pcauthority.com.au/feature.aspx?CIID=18373&r=rstory
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| | Lab 3: Knowledge-representation |
| | The system should contain at least two so called daemons: one that is run when a value is put into a specific attribute and one that is run when a specific attribute is queried. | | | A frame system does not store knowledge as logical sentences, but as structures where attributes and concepts that are related to each other in some way are gathered together. | | | Theoretically, frame systems (and semantic nets) can be expressed in FOPL, but practically it can be useful to organize knowledge as it is used and as most of us conceptualize it. |
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http://www.ida.liu.se/~TDDA13/labbar/frames-en.html
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| | Contents |
| | Systems based on such implementations have demonstrated that they can perform well with problems that occur in realistic applications, including problems where unoptimised reasoning is hopelessly intractable. | | | Description Logic languages are then viewed as the core of knowledge representation systems, considering both the structure of a DL knowledge base and its associated reasoning services. | | | Then it introduces syntax and semantics, covering the basic constructors that are used in systems or have been introduced in the literature, and the way these constructors can be used to build knowledge bases. |
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http://www.dis.uniroma1.it/~nardi/dlhb/contents-no-files.html
(1932 words)
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| | Knowledge Representation for Natural Language Processing in Implemented Systems |
| | Theories of knowledge representation that are based on, or suitable for, the semantics of natural language. | | | Empirical results regarding the representation requirements for a particular domain area or task; for example in a particular domain, it might be sufficient to identify quantifier ordering, without resolving scope ambiguities. | | | For example, the paper might evaluate the coverage of an implemented KRR system for a particular classes of complex object descriptions or quantified expressions. |
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http://tigger.cs.uwm.edu/~syali/jnle-kr-nlp
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| | Knowledge Representation and Ontologies for Autonomous Systems |
| | This symposium's objective was to bring together colleagues in the autonomous systems, knowledge representation, ontology, and data fusion communities to explore leveraging existing knowledge technologies to benefit autonomous systems. | | | For an autonomous system to behave appropriately in an uncertain environment, many researchers feel that the system must have an internal representation (world model) of entities, events, and situations that it perceives in the world. | | | A large body of work exists in various knowledge representation, ontology, and data fusion areas, yet relatively little has been applied to real-time world modeling in autonomous systems. |
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http://www.aaai.org/Press/Reports/Symposia/Spring/ss-04-04.html
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| | COMS 4725 Knowledge Representation and Reasoning |
| | The field of Knowledge Representation is primarily concerned with encoding general world knowledge in a formal system of computation. | | | A central part of Artificial Intelligence, Knowledge Representation has links to many fields including logic, computer science, linguistics, cognitive psychology, and cognitive science. | | | that of the designer of commercial AI systems, and that of the researcher aiming to develop a system capable of commonsense reasoning. |
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http://www.cvn.columbia.edu/Courses/Spring1999/CS/coms4725.html
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| | Abstract: An Order-Sorted Logic for Knowledge Representation Systems |
| | Hybrid knowledge representation systems (such as those of the KL-ONE family) distinguish between taxonomical information (that is represented in the T-Box) and assertional information (which is contained in the A-Box). | | | This approach has been implemented in the knowledge representation language L-LILOG which is used in a natural language understanding project for German. | | | Abstract: An Order-Sorted Logic for Knowledge Representation Systems |
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http://www.informatik.fernuni-hagen.de/pi8/lit/ai92_abs.html
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| | Knowledge Representation Systems Based on Natural Language |
| | The same representational and inference mechanism could be used when utilizing previous knowledge for processing new NL inputs. | | | This symposium addresses the problem of knowledge representation (KR) systems that closely parallel the representational and inferential characteristics of natural language (NL). | | | Such a system can automatically create and update its knowledge base directly from NL input. |
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http://www.aaai.org/Press/Reports/Symposia/Fall/fs-96-04.html
(269 words)
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| | Knowledge Representation |
| | The student and granule representation models have been studied and the algorithms for the choice of the knowledge granules to be taught to a student have been developed. | | | Its main features are the representation of n-ary relationships between concepts and the availability of a sound, complete and tractable subsumption algorithm. | | | The ATMS has then been adopted as a basis for implementing a bottom-up procedure computing the 3-valued stable models of a logic program, and the relationship between 3-valued stable semantics for negation as failure in logic programming and other approaches to non-monotonic reasoning has been extensively discussed. |
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http://lia.deis.unibo.it/Research/Areas/knowrep.html
(690 words)
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| | UT Knowledge Systems Research Group |
| | Knowledge representation and reasoning to encode knowledge in a language that computers can reason with | | | Information Retrieval systems may mimic knowledgeable computers, but don't be deceived - there's less there than meets the eye. | | | Our goal is to develop methods to build knowledgeable computers - capable of conversing intelligently on many topics. |
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http://www.cs.utexas.edu/users/mfkb
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| | INTELLIGENT SOFTWARE - Knowledge Representation, Intelligent Tutoring Systems |
| | Artificial Intelligence (AI) is fundamentally the study of abstracted knowledge, logic, and its manipulation in computers bringing together areas of Cognitive Science, Computation, and Theoretical Mathematics. | | | Such experience and expertise affords deep insight which transcends all areas of computation and systems design, and extends into theory of learning sciences and education.When combined with advanced programming methods, this insight can be used to create better-organized, more "intelligent" software, and complex systems. | | | Also, programming methods and principles borrowed from Knowledge Based Systems and Artificial Intelligence, ranging from simple knowledge and logic abstraction, to rule based components, can be used to build software along a spectrum of sophistication. |
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http://www.ipli.com/ini-cmpl.htm
(323 words)
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| | Collaboration, Knowledge Representation and Automatability |
| | Essential Elements of an Open Hyperdocument System, as developed by Douglas Engelbart, make a good measuring stick for evaluating collaborative technologies. | | | "Collaboration" over the World Wide Web is a very broad area of research, involving wide-reaching issues such as knowledge representation, annotation of objects by objects, notification, and any other issues which arise in the creation of shared information systems and collaborative development. | | | The Web can be thought of as a freeform, decentralised knowledge representation system. |
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http://www.w3.org/Collaboration
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| | Knowledge Representation Readings |
| | Levesque, H.J., and Brachman, R.J. Expressiveness and tractability in knowledge representation and reasoning. | | | McDermott, J. An expert in the computer systems domain. | | | Campbell, K., Oliver, D., and Shortliffe, E. (1998) The Unified Medical Language System: Toward a collaborative approach for solving terminologic problems. |
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http://faculty.washington.edu/gennari/teaching/KR/KR-readings02.html
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| | DRUM: Item 1903/1044 |
| | It is our contention that the World Wide Web poses challenges to knowledge representation systems that fundamentally change the way we should design KR languages. | | | In this paper, we describe the Simple HTML Ontology Extensions (SHOE), a KR language which allows web pages to be annotated with semantics. | | | We present a formalism for the language and discuss the features which make it well suited for the Web. |
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http://hdl.handle.net/1903/1044
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| | Knowledge Representation |
| | Christine Rou\`eche is building a knowledge representation system for the domain of musicology. | | | Victor-Hugo Zaldivar-Carrillo studies general principles of knowledge representation inspired by current theory on conceptualization processes (e.g. | | | It implements the notion of view point and navigation in varied knowledge. |
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http://www-iasc.enst-bretagne.fr/PROJECTS/kr.html
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| | [No title] |
| | The fact that the sales advisory domain is so highly knowledge intensive forced us to concentrate on the representation and reasoning aspects of it's application irrespective of mode/model we choose to support this process with a computer system. | | | Sales Advisory System: A Case Study in Applying Knowledge Representation Systems | | | Sales Advisory Systems, Knowledge Representation, Knowledge Representation Systems, Taxonomic Reasoning, Description Logics |
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http://edocs.tu-berlin.de/diss/2001/thakar_sunil.htm
(413 words)
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| | Properties for Knowledge Representation Systems |
| | The following properties should be possessed by a knowledge representation system. | | | Next: Approaches to Knowledge Representation Up: Knowledge Representation Previous: Using Knowledge | | | -- the ability to represent the required knowledge; |
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http://www.cs.cf.ac.uk/Dave/AI2/node35.html
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| | EXPERT SYSTEMS and KNOWLEDGE REPRESENTATION |
| | Tansley, D.S.W and Hatbill, C.C. Knowledge-Based Systems Analysis and Design: A KADS Developer's Handbook. | | | Here are some introductory books that students doing AI will find helpful for this course on Expert Systems. | | | Useful texts about knowledge engineering, knowledge acquisition, knowledge elicitation and the process of designing an expert (knowledge-based) system |
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http://www.dcs.hull.ac.uk/NEAT/dnd/esbooks.htm
(650 words)
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| | The Classic Knowledge Representation System |
| | ``Usability Issues in Knowledge Representation Systems,'' in Proceedings of the Fifteenth National Conference on Artificial Intelligence, Madison, Wisconsin, 1998. | | | Berman, and H. Moore, ``A knowledge-based configurator that supports sales, engineering, and manufacturing at AT&T network systems,'' in Proceedings of the Innovative Applications of Artificial Intelligence Conference, pp.183--193, 1993. | | | Borgida, F. Halper, T. Kirk, A. Lazar., D. McGuinness, and L. Resnick, ``Integrated Support for Data Archaeology,'' in International Journal of Intelligent and Cooperative Information Systems, 2:159-185, 1993. |
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http://www.research.att.com/sw/tools/classic/classic.html
(727 words)
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| | Topic: areas/kr/systems/ |
| | This directory contains software concerning knowledge representation and related topics, including Semantic Nets, Frames, and KL-One. | | | areas/kr/systems/ colab/ COLAB: Knowledge Representation and Compilation Laboratory frames/ Frame Systems kl_one/ KL-ONE Family of Knowledge Representation Systems knowbel/ KNOWBEL: Telos temporal/sorted logic system ontic/ ONTIC: Sequent Based High Level Proof System rhet/ RHETORICAL: Rochester Knowledge Tools Distribution sneps/ SNePS: Semantic Network Processing System uranus/ URANUS: Logic-Based Knowledge Representation Language | | | CD-ROM: Prime Time Freeware for AI, Issue 1-1 Keywords: Knowledge Representation |
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http://www.cs.cmu.edu/afs/cs.cmu.edu/project/ai-repository/ai/areas/kr/systems/0.html
(86 words)
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| | Atlas: Knowledge representation systems and skew nearlattices by Janis Cirulis |
| | [2] Cirulis, J., Are there essentially incomplete knowledge representation systems? | | | Atlas: Knowledge representation systems and skew nearlattices by Janis Cirulis | | | The concept of a knowledge representation system (kr-system, for short) we deal with is a special case of that introduced in [2]. |
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http://atlas-conferences.com/cgi-bin/abstract/cake-27
(365 words)
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