Search results for "Knowledge base"

showing 10 items of 142 documents

Improving Assessment of Students through Semantic Space Construction

2009

Assessment is one of the hardest tasks an Intelligent Tutoring System has to perform. It involves different and sometimes uncorrelated sub-tasks: building a student model to define her needs, defining tools and procedures to perform tests, understanding students' replies to system prompts, defining suitable procedures to evaluate the correctness of students' replies, and strategies to improve students' abilities after the assessment session.In this work we  present an improvement of our system, TutorJ, with particular attention to the assessment phase. Many tutoring systems offer only a limited set of assessment options like multiple-choice questions,fill-in-the-blanks tests or other types …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCorrectnessComputer sciencebusiness.industryProcess (engineering)Natural language understandingCognitive architecturecomputer.software_genreIntelligent tutoring systemKnowledge-based systemsKnowledge baseHuman–computer interactionIntelligent Tutoring Systems Semantic Space Construction Natural Language InteractionArtificial intelligencebusinesscomputerNatural languageNatural language processing
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A Knowledge Management System using Bayesian Network

2009

In today's world, decision support and knowledge management processes are strategic and interdependent activities in many organizations. The companies' interest on a correct knowledge management is grown, more than interest on the mere knowledge itself. This paper proposes a Knowledge Management System based on Bayesian networks. The system has been tested collecting and using data coming from projects and processes typical of ICT companies, and provides a Document Management System and a Decision Support system to share documents and to plan how to best use firms' knowledge.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDecision support systemKnowledge managementbusiness.industryComputer scienceData managementKnowledge engineeringKnowledge value chainIntelligent decision support systemDocument management systemProcedural knowledgecomputer.software_genreClinical decision support systemKnowledge-based systemsKnowledge extractionKnowledge baseInformation and Communications TechnologyOrganizational learningPersonal knowledge managementOntologyDomain knowledgeKnowledge Management Bayesian Network Artificial Intelligencebusinesscomputer
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Clifford Rotors for Conceptual Representation in Chatbots

2013

In this abstract we introduce an unsupervised sub-symbolic natural language sentences encoding procedure aimed at catching and representing into a Chatbot Knowledge Base (KB) the concepts expressed by an user interacting with a robot. The chatbot KB is coded in a conceptual space induced from the application of the Latent Semantic Analysis (LSA) paradigm on a corpus of documents. LSA has the effect of decomposing the original relationships between elements into linearly-independent vectors. Each basis vector can be considered therefore as a "conceptual coordinate", which can be tagged by the words which better characterize it. This tagging is obtained by performing a (TF-IDF)-like weighting…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDiscrete mathematicsComputer sciencebusiness.industryLatent semantic analysisInformationSystems_INFORMATIONSTORAGEANDRETRIEVALRepresentation (systemics)computer.software_genreChatbotGeometric algebraKnowledge baseArtificial IntelligenceEncoding (semiotics)chatbot clifford algebraArtificial intelligenceDialog systembusinesscomputerNatural language processingNatural language
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Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent

2022

Wireless Sensor Networks (WSNs) represent a key component in emerging distributed computing paradigms such as IoT, Ambient Intelligence, and Smart Cities. In these contexts, the difficulty of testing, verifying, and monitoring applications in their intended scenarios ranges from challenging to impractical. Current simulators can only be used to investigate correctness at source code level and with limited accuracy. This paper proposes a system and a methodology to model and verify symbolic distributed applications running on WSNs. The approach allows to complement the distributed application code at a high level of abstraction in order to test and reprogram it, directly, on deployed network…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGeneral Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringDistributed applications Distributed processing Embedded Systems Fault detection Fault diagnosis Internet of Things Knowledge based systems Software maintenance Software monitoring Wireless sensor networksIEEE Access
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Chatbots as Interface to Ontologies

2014

Chatbots are simple conversational agents using 'pattern matching rules' to carry out the dialogue with the user and various expedients to improve their credibility. However, the rules on which they are based on are too restrictive and their language understanding capability is very limited. Nevertheless chatbots are widespread in several applications, especially to provide information to users in a new and enjoyable way. In this chapter we describe different chatbot architectures, exploiting the use of ontologies in order to create clever information suppliers overcoming the main limits of chatbots: The knowledge base building and the rigidness of the dialogue mechanism. © Springer Interna…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge baseComputer scienceHuman–computer interactionbusiness.industryArtificial IntelligenceAS-InterfaceCredibilityOntology (information science)computer.software_genrebusinessChatbotcomputer
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A Knowledge Management System based on Ontologies

2009

Recently the companies’ interest on a correct knowledge management is grown, more than interest on the mere knowledge itself. In the last few years, several projects have been carried out, with the aim of the development of innovative systems capable of collecting and sharing information. This paper proposes a Knowledge Management System, whose main feature is an ontological knowledge representation. The ontological representation of data allows of specializing the reasoning capabilities and of providing ad hoc behaviors. The system has been tested collecting and using data coming from projects and processes typical of ICT companies, and provides a Document Management System and an Expert S…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge managementKnowledge representation and reasoningComputer sciencebusiness.industryKnowledge value chainDocument management systemcomputer.software_genreBody of knowledgeKnowledge-based systemsKnowledge extractionKnowledge basePersonal knowledge managementOntologies Knowledge Management Systemsbusinesscomputer
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An Ontology Design Methodology for Knowledge-Based Systems with Application to Bioinformatics

2012

Ontologies are formal knowledge representation models. Knowledge organization is a fundamental requirement in order to develop Knowledge-Based systems. In this paper we present Data-Problem-Solver (DPS) approach, a new ontological paradigm that allows the knowledge designer to model and represent a Knowledge Base (KB) for expert systems. Our approach clearly distinguishes among the knowledge about a problem to resolve (answering the what to do question), the solver method to resolve it (answering the how to do question) and the type of input data required (answering the what I need question). The main purpose of the proposed paradigm is to facilitate the generalization of the application do…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge representation and reasoningComputer sciencebusiness.industryKnowledge organizationOpen Knowledge Base ConnectivityOntology (information science)BioinformaticsArtificial intelligence; Expert systems; Knowledge representation; Ontology; ProteinsKnowledge-based systemsKnowledge extractionKnowledge baseArtificial IntelligenceDomain knowledgebusiness
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A Modular Framework for Versatile Conversational Agent Building

2011

This paper illustrates a web-based infrastructure of an architecture for conversational agents equipped with a modular knowledge base. This solution has the advantage to allow the building of specific modules that deal with particular features of a conversation (ranging from its topic to the manner of reasoning of the chatbot). This enhances the agent interaction capabilities. The approach simplifies the chatbot knowledge base design process: extending, generalizing or even restricting the chatbot knowledge base in order to suit it to manage specific dialoguing tasks as much as possible.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProgramming languagebusiness.industryComputer sciencecomputer.internet_protocolmedia_common.quotation_subjectService-oriented architectureModular designcomputer.software_genreChatbotKnowledge-based systemsKnowledge baseHuman–computer interactionConversational Agents Modular KB Ontology reasoning Semantic SpacesDesign processConversationDialog systembusinesscomputermedia_common
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Logic for accumulation of design science research theory

2014

The paper introduces a structured logic for iterative and incremental accumulation of a design theory during a research project and across research programs. The logic is proposed to help researchers understand the links between parallel search spaces related to a particular design and linking to theoretical knowledge bases produced by previous search processes. The proposition rests on the notion that representing the structure and logic of design science research (DSR) theory using CIMO enables the elements of the knowledge base to be more easily evaluated, combined, and transferred between related search spaces. We view DSR theory development as an iterative and incremental social proces…

Structure (mathematical logic)ta113Knowledge basebusiness.industryProcess (engineering)Computer scienceDesigntheoryPropositionDesign science researchArtificial intelligenceDevelopment theorybusiness
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A Decisional Multi-Agent Framework for Automatic Supply Chain Arrangement

2013

In this work, a multi-agent system (MAS) for supply chain dynamic configuration is proposed. The brain of each agent is composed of a Bayesian Decision Network (BDN); this choice allows the agent for taking the best decisions estimating benefits and potential risks of different strategies, analyzing and managing uncertain information about the collaborating companies. Each agent collects information about customer's orders and current market prices, and analyzes previous experiences of collaborations with trading partners. The agent therefore performs a probabilistic inferential reasoning to filter information modeled in its knowledge base in order to achieve the best performance in the sup…

Supply chain managementKnowledge managementOperations researchComputer scienceBusiness processbusiness.industryMulti-agent systemSupply chainProbabilistic logicKnowledge baseFilter (video)Order (exchange)Multi-Agent System Supply Chain Management Bayesian Decision Networksbusiness
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