Search results for "information model"

showing 10 items of 54 documents

Towards a Reference Architecture for Archival Systems: Use Case With Product Data

2014

Long-term preservation of product data is imperative for many organizations. A product data archive should be designed to ensure information accessibility and understanding over time. Approaches, such as the Open Archival Information System Reference Model (OAIS RM) and the Audit and Certification of Trustworthy Digital Repositories (ACTDR), provide a framework for conceptually describing and evaluating archives. These approaches are generic and do not focus on particular contexts or content types such as product data. Moreover, these approaches offer no guidance on how to formally and comprehensively describe archival systems. Such descriptions should include the business activities that a…

0209 industrial biotechnologyComputer scienceEnterprise architecture020101 civil engineering02 engineering and technologyIndustrial and Manufacturing Engineering0201 civil engineeringTerminologyWorld Wide Web[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automation[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]Reference architectureArchitectureReference modelComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsOpen Archival Information SystemInformation model[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Department of Defense Architecture Framework[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Software engineeringbusinessSoftwareJournal of Computing and Information Science in Engineering
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Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphs

2020

Abstract Realizing the digital thread is essential for linking and orchestrating data across the product lifecycle in smart manufacturing. Linking heterogeneous lifecycle data is critical to maintain associativity and traceability in a digital thread. Recently, researchers have successfully leveraged ontology models with knowledge graphs in engineering domains for threading different lifecycle data. One of the most successful of such efforts is OntoSTEP which enables the formal capture of information embedded in the STandard for Exchange of Product model data (STEP) data representation, or ISO 10303. Meanwhile, an emerging inspection standard, called the Quality Information Framework (QIF),…

0209 industrial biotechnologyTraceabilityComputer sciencebusiness.industry0211 other engineering and technologies02 engineering and technologycomputer.file_formatThread (computing)External Data Representation020901 industrial engineering & automationProduct lifecycleArtificial IntelligenceInformation model021105 building & constructionThreading (manufacturing)Software engineeringbusinessISO 10303computerQuality assuranceInformation SystemsAdvanced Engineering Informatics
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Data Sources Handling for Emergency Management: Supporting Information Availability and Accessibility for Emergency Responders

2017

Information is an essential component for better emergency response. Although a lot of information being available at various places during any kind of emergency, many emergency responders (ERs) use only a limited amount of the available information. The reason for this is that the available information heterogeneously distributed, in different formats, and ERs are unable to get access to the relevant information. Moreover, without having access to the needed information, many emergency responders are not able to obtain a sufficient understanding of the emergency situation. Consequently, a lot of time is being used to search for the needed information and poor decisions may be made. Therefo…

021110 strategic defence & security studiesSituation awarenessEmergency managementcomputer.internet_protocolComputer sciencebusiness.industry0211 other engineering and technologies02 engineering and technologyService-oriented architectureComputer securitycomputer.software_genreData scienceInformation model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingWeb servicebusinesscomputerSemantic WebInformation exchangeData integration
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A framework for data-driven adaptive GUI generation based on DICOM

2018

Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. In clinical environments, a GUI must represent a sequence of steps for image investi…

0301 basic medicineDiagnostic ImagingAutomatedComputer scienceData-driven GUI generation; DICOM; Faceted classification; Graphical user interfaces; Medical diagnostic software; Algorithms; Brain; Cognition; Computers; Decision Support Systems Clinical; Diagnostic Imaging; Feasibility Studies; Humans; Magnetic Resonance Imaging; Medical Informatics; Pattern Recognition Automated; Software; Computer Graphics; Radiology Information Systems; User-Computer InterfaceGraphical user interfacesDecision Support SystemsHealth InformaticsPattern Recognitioncomputer.software_genrePattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesDICOMClinicalUser-Computer Interface0302 clinical medicineSoftwareCognitionHuman–computer interactionComputer GraphicsHumansDICOMGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFaceted classificationbusiness.industryComputersData-driven GUI generationBrainComputer Science Applications1707 Computer Vision and Pattern RecognitionMedical diagnostic softwareDecision Support Systems ClinicalMagnetic Resonance ImagingComputer Science ApplicationsVisualizationSoftware frameworkGraphical user interface030104 developmental biologyWorkflowRadiology Information SystemsInformation modelSoftware designFeasibility StudiesbusinesscomputerAlgorithmsMedical InformaticsSoftware
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From recovery manuals to historic and construction building information modeling (h-BIM). Strategies for historical Sicilian centres

2018

Il recupero dei centri storici costituisce oggi, oltre che un obiettivo prioritario di qualsiasi politica urbana, anche una attività di grande interesse strategico ed economico. Molte sono state le ricerche e le politiche di sostegno concernenti interventi sull’esistente, dettate da una sensibilità per il recupero del patrimonio edilizio della città storica; ciò ha reso necessario l'analisi e lo studio specifico delle tecniche costruttive. Nonostante il complesso quadro normativo e vincolistico, gli interventi sui centri storici continuano però ad essere in molti casi condotti in maniera impropria. L’uso di materiali e tecniche incolte, trasferite dal cantiere moderno a quello di recupero, …

Architectural Heritage Historic centers Conservation HBIM Information ModellingSettore ICAR/10 - Architettura Tecnica
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BIM Modelling of Ancient Buildings

2018

In the last years, new procedures on design and management of constructions, based on 3D standardised models of building elements, have been proposed. It’s the case of Building Information Modelling (BIM) applications, that, differently from CAD ones, allow to work with libraries of 3D parametrical objects (smart objects) describing geometric, structural and material properties of building elements. This methodology is based on the Industry Foundation Classes (IFC) model, that represents a global standard for the building data exchange. Initially used for the design of new architectures, BIM methodology has been even more considered also for the management and the conservation of historical…

Architectural engineeringComputer scienceSmart objectsbusiness.industry0211 other engineering and technologies020101 civil engineering02 engineering and technology3D modelling0201 civil engineeringVariety (cybernetics)Cultural heritageLimit (category theory)Work (electrical)Building information modelingArchaeologyData exchangeHBIM021105 building & constructionIndustry Foundation ClassesCultural heritagebusinessSurveySettore ICAR/06 - Topografia E CartografiaGeospatial DB
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AHBIM for Wooden Built Heritage Conservation

2019

The chapter investigates the potential offered by the Building Information Modeling for the conservation of the wooden architectural heritage. Based on the architectural survey, the BIM modeling of a South Tyrolean farm was carried out, with particular attention to the aspects related to its management and maintenance. Inside the database connected to the model, information about the building has been included, which can also be used on site through the use of mobile devices. The sharing of such information within a single platform avoids risks connected to the failure or incorrect transmission of data, allowing the optimization of the management, maintenance and conservation of the archite…

Architectural engineeringbusiness.industryComputer scienceConservationAsset (computer security)Built heritageParametric designParametric designBIM Built heritage Parametric design Conservation Facility managementFacility managementBuilding information modelingArchitectural heritageTransmission (telecommunications)BIMSettore ICAR/17 - DisegnoBuilt heritageFacility managementbusinessMobile device
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Multiagent System for Detecting and Solving Design-Time Conflicts in Civil Infrastructure

2012

One typical source of problems in the Civil Infrastructure domain is the distributed and collaborative nature of the projects in which different profiles of engineers contribute with designs devoted to the interest of their field of expertise. Thus, situations in which there are different conflicts of interests are quite common. A conflict refers to a situation in which the actions of an engineer collide with the interests of other engineers. In this paper, we present a multi-agent system that, thanks to the use of ontologies and rules on those ontologies, is able to detect profilespecific conflict situations and solve them according to the preferences of the parties involved in the conflic…

Building information modelingManagement sciencebusiness.industryComputer scienceUrban planningField (Bourdieu)Resource allocationbusinessCivil infrastructureDomain (software engineering)
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Classification of reference models: a methodology and its application

2003

Classification is an important tool for perception and can be found in numerous scientific disciplines. Several application areas of classification are described in the context of information modeling. The usefulness of classification for reuse resp. selection of reference models is emphasized. A methodology to systematically create classification systems will be introduced. Furthermore, a classification system for reference models will be developed with the aid of the proposed methodology. This classification system gives a comprehensive, but abstract survey of 26 reference models found in the literature.

Computer scienceContext (language use)Reusecomputer.software_genreComputingMethodologies_PATTERNRECOGNITIONApplication areasInformation modelTaxonomy (general)Selection (linguistics)Data miningReference modelcomputerScientific disciplinesInformation SystemsInformation Systems and e-Business Management
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Querying and reasoning over large scale building data sets

2016

International audience; The architectural design and construction domains work on a daily basis with massive amounts of data. Properly managing, exchanging and exploiting these data is an ever ongoing challenge in this domain. This has resulted in large semantic RDF graphs that are to be combined with a significant number of other data sets (building product catalogues, regulation data, geometric point cloud data, simulation data, sensor data), thus making an already huge dataset even larger. Making these big data available at high performance rates and speeds and into the correct (intuitive) formats is therefore an incredibly high challenge in this domain. Yet, hardly any benchmark is avai…

Computer scienceData managementBig data[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologiesifcOWL02 engineering and technologySemantic data modelcomputer.software_genreDomain (software engineering)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Set (abstract data type)benchmarksemantic webbig data021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic Web[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/WebData set[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Building information modelingBenchmark (computing)reasoning020201 artificial intelligence & image processingData miningbusinesscomputer
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