Search results for "Knowledge representation"

showing 10 items of 78 documents

A Stigmergic Guiding System to Facilitate the Group Decision Process

2012

The paper presents a stigmergic approach to engineer a guiding system to facilitate the complex problem of designing the group decision processes. The system aims to provide contextual, actionable recommendations based on the knowledge and past experience of its users as recorded in a collaborative working environment implemented around the concept of stigmergic systems. Through an agent-based socio-simulation experiment we have demonstrated already the feasibility of this approach. The paper illustrates how the simulation results are transferred into a guiding system that facilitates the group decision process design through iterative queries reformulations for the identification, represen…

Identification (information)Knowledge managementKnowledge representation and reasoningComputer sciencebusiness.industryHuman–computer interactionMulti-agent systemGroup decision processCollaborative working environmentbusinessRepresentation (mathematics)2012 IEEE 28th International Conference on Data Engineering Workshops
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Semantic technologies for industry: From knowledge modeling and integration to intelligent applications

2013

Artificial Intelligence technologies are growingly used within several software systems ranging from Web services to mobile applications. It is by no doubt true that the more AI algorithms and methods are used the more they tend to depart from a pure "AI" spirit and end to refer to the sphere of standard software. In a sense, AI seems strongly connected with ideas, methods and tools that are not (yet) used by the general public. On the contrary, a more realistic view of it would be a rich and pervading set of successful paradigms and approaches. Industry is currently perceiving semantic technologies as a key contribution of AI to innovation. In this paper a survey of current industrial expe…

Computer scienceKnowledge RepresentationRecommender systemcomputer.software_genreNLPIndustrial ApplicationsWorld Wide WebKnowledge modelingSemantic TechnologiesArtificial Intelligencesemantic searchontologiesKnowledge Representation; Semantic Technologies; Industrial Applicationsinformation retrievalSoftware systembusiness.industrySemantic searchSketchBPMSemantic technologyApplications of artificial intelligenceNLP information retrieval semantic search recommender systems ontologies BPMrecommender systemsWeb servicebusinesscomputerIntelligenza Artificiale
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Learning high-level tasks through imitation

2006

This paper presents the cognitive architecture Con-SCIS (Conceptual Space based Cognitive Imitation System), which tightly links low-level data processing with knowledge representation in the context of imitation learning. We use the word imitate to refer to the paradigm of program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a simplified two-dimensional world populated with vario…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge representation and reasoningComputer sciencebusiness.industrymedia_common.quotation_subjectImitation learningContext (language use)Cognitive architectureKinematicsMotion (physics)RoboticTask (computing)Human–computer interactionMachine learningRobotComputer visionArtificial intelligenceCognitive imitationImitationbusinessHumanoid robotmedia_common2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Ontology languages for the semantic web: A never completely updated review

2006

This paper gives a never completely account of approaches that have been used for the research community for representing knowledge. After underlining the importance of a layered approach and the use of standards, it starts with early efforts used for artificial intelligence researchers. Then recent approaches, aimed mainly at the semantic web, are described. Coding examples from the literature are presented in both sections. Finally, the semantic web ontology creation process, as we envision it, is introduced.

Web standardsOntology Inference LayerInformation Systems and ManagementKnowledge representation and reasoningComputer sciencecomputer.internet_protocolProcess ontologyOntology (information science)computer.software_genreSocial Semantic WebOWL-SManagement Information SystemsWorld Wide WebOpen Biomedical OntologiesArtificial IntelligenceSemantic computingSemantic analyticsUpper ontologySemantic Web StackSemantic Webbusiness.industryOntology-based data integrationSuggested Upper Merged OntologyOntology languageOntologyArtificial intelligencebusinessWeb intelligencecomputerOntology alignmentSoftwareNatural language processingKnowledge-Based Systems
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An Algebraic Approach to Knowledge Representation

1999

This paper is an attempt to apply domain-theoretic ideas to a new area, viz. knowledge representation. We present an algebraic model of a belief system. The model consists of an information domain of special kind (belief algebra) and a binary relation on it (entailment). It is shown by examples that several natural belief algebras are, essentially, algebras of flat records. With an eye on this, we characterise those domains and belief algebras that are isomorphic to domains or algebras of records. For illustration, we suggest a system of axioms for revision in such a model and describe an explicit construction of what could be called a maxichoise revision.

Pure mathematicsKnowledge representation and reasoningComputer scienceBinary relationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONBelief systemNatural (music)IsomorphismAlgebraic numberBelief revisionLogical consequenceAxiom
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Artificial intelligence techniques for cancer treatment planning

1988

An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.

Artificial Intelligence SystemKnowledge representation and reasoningbusiness.industryAnimals Antineoplastic Combined Chemotherapy Protocols; administration /&/ dosage/pharmacology Clinical Protocols Computer Simulation Drug Therapy; Computer-Assisted Expert Systems Humans Medical Oncology; methods Programming Languages Software Design Therapy; Computer-AssistedExpert SystemsMedical OncologyDrug Therapy Computer-AssistedmethodsCancer treatmentComputer-AssistedBasic knowledgeadministration /&/ dosage/pharmacologyClinical ProtocolsDrug TherapySoftware DesignTherapy Computer-AssistedAntineoplastic Combined Chemotherapy ProtocolsAnimalsHumansComputer SimulationProgramming LanguagesTherapyArtificial intelligenceAutomated reasoningbusinessMedical Informatics
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Demonstration of Semantic Web-based Medical Ontologies and Clinical Decision Support Systems

2016

Master's thesis in Information- and communication technology IKT590 - University of Agder 2016 Konfidensiell til / confidential until 01.01.2022

VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551clinical decision support systemIKT590knowledge representationontology reasoningontologydisease identificationSemantic web
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Distinguishing between two crus : as easy as picking the right side ? : Effect of expertise on conceptual and perceptual representations of Beaujolai…

2017

L’expertise a été étudiée en psychologie cognitive afin de comprendre les mécanismes psychologiques et les compétences intervenant dans différents domaines d’expertise. Dans le domaine du vin, les quelques études menées suggèrent que les experts organiseraient leurs connaissances autour de « prototypes » de couleur ou de cépage. L’objectif général de cette thèse visait à répondre aux questionnements théoriques concernant les représentations des vins d’experts et de novices, ainsi qu’aux questionnements de la filière concernant les perceptions des vins du Beaujolais. Pour cela, l’effet de l’expertise sur les représentations des vins a été évalué en comparant les performances de trois panels …

Représentation des connaissances[SDV.BIO]Life Sciences [q-bio]/BiotechnologyIngénierie des alimentsWineBiotechnologiesExpertisewine;categorization;expertise;knowledge representationCategorizationKnowledge representationAlimentation et NutritionVin[SDV.IDA]Life Sciences [q-bio]/Food engineeringFood and NutritionFood engineering[SDV.AEN]Life Sciences [q-bio]/Food and NutritionCatégorisation
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Automated Creation of Expert Systems with the InteKRator Toolbox

2021

Expert systems have a long tradition in both medical informatics and artificial intelligence research. Traditionally, such systems are created by implementing knowledge provided by experts in a system that can be queried for answers. To automatically generate such knowledge directly from data, the lightweight InteKRator toolbox will be introduced here, which combines knowledge representation and machine learning approaches. The learned knowledge is represented in the form of rules with exceptions that can be inspected and that are easily comprehensible. An inference module allows for the efficient answering of queries, while at the same time offering the possibility of providing explanation…

Information retrievalKnowledge representation and reasoningComputer sciencebusiness.industryInferencecomputer.software_genrebusinesscomputerHealth informaticsExpert systemToolbox
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Was King Arthur a King by Definition?

1988

Current research in knowledge representation distinguishes between descriptional and assertional interpretations of semantic nets. This paper explores theoretical and applicative problems, which arise from that distinction in a historic domain. A prolog implementation of KL-ONE is used as a vehicle to compare the various alternatives available to represent knowledge related to single elements of the domain insertion or not of this knowledge in semantic nets in their descriptional sense. The final section of the paper discusses the problem in relation to the theories concerning the functioning of proper names from a logical and philosophical point of view.

Relation (database)Knowledge representation and reasoningPoint (typography)Computer sciencebusiness.industryDomain (software engineering)EpistemologyPrologArtificial IntelligenceLogical conjunctionSection (archaeology)Proper nounArtificial intelligencebusinesscomputercomputer.programming_languageAI Communications
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