Search results for "RDF"

showing 10 items of 95 documents

Ontology-driven Image Analysis for Histopathological Images

2010

International audience; Ontology-based software and image processing engine must cooperate in new fields of computer vision like microscopy acquisition wherein the amount of data, concepts and processing to be handled must be properly controlled. Within our own platform, we need to extract biological objects of interest in huge size and high-content microscopy images. In addition to specific low-level image analysis procedures, we used knowledge formalization tools and high-level reasoning ability of ontology-based software. This methodology made it possible to improve the expressiveness of the clinical models, the usability of the platform for the pathologist and the sensitivity or sensibi…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingOntology (information science)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imaging03 medical and health sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicineSoftware[STAT.AP] Statistics [stat]/Applications [stat.AP][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDigital image processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionRDFImage analysis[STAT.AP]Statistics [stat]/Applications [stat.AP]Information retrieval[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industry[ STAT.AP ] Statistics [stat]/Applications [stat.AP][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Usabilitycomputer.file_formatAutomatic image annotation[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]030220 oncology & carcinogenesis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Artificial intelligencebusinesscomputer
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Graphe-Based Rules For XML Data Conversion to OWL Ontology

2010

International audience; The paper presents a flexible method to enrich and populate an existing OWL ontology from XML data based on graph-based rules. These rules are defined in order to populate automatically a new version of an OWL ontology. Today, most of data exchanged between information systems is done with the help of the XML document. Leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. This flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating process.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]ontology enrichment[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]XML dataComputingMethodologies_DOCUMENTANDTEXTPROCESSING[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Ontology population[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OWL ontologysemantic annotation[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]RDF
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A Graph-based Tool for the Translation of XML Data to OWL-DL Ontologies

2011

International audience; Today most of the data exchanged between information systems is done with the help of the XML syntax. Unfortunately when these data have to be integrated, the integration becomes difficult because of the semantics' heterogeneity. Consequently, leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. To benefit from these new systems and technologies, and to integrate different data sources, a flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating proc…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]ontology enrichment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]XML data[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Ontology populationOWL ontologysemantic annotationRDFsemantic annotation.
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Temporal Logic To Query Semantic Graphs Using The Model Checking Method

2012

International audience; Semantic interoperability problems have found their solutions due to the use of languages and techniques from the Semantic Web. The proliferations of ontologies and meta-information have improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling, and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of rese…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL.02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE]Ontology (information science)computer.software_genreQuery languagetemporal logic querySPARQLSocial Semantic WebSearch engineDescription logicSemantic similaritytemporal logicArtificial IntelligenceWeb query classificationSemantic computing0202 electrical engineering electronic engineering information engineeringInformation systemSemantic analyticsSPARQLSemantic Web StackRDFSemantic Webcomputer.programming_language[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Web search querySemantic Web Rule LanguageProgramming languagebusiness.industry[INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC][INFO.INFO-WB]Computer Science [cs]/Web020207 software engineeringcomputer.file_formatSemantic interoperabilitymodel checking[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Human-Computer InteractionSemantic graph020201 artificial intelligence & image processingbusinesscomputerSoftwareRDF query language
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Context-aware semantic Web service discovery protocol

2009

The Web of today represents a broad space where users research, discover and share information. In this context, the process of Web service discovery plays a significant role. Indeed, such process allows linking the information published by service providers and the requests of users, looking for information. Generally, such process involves text or keyword-based techniques. Still, this kind of discovery fails in retrieving only relevant information. Our approach is to design a more " intelligent " system that allows using a knowledge base during the service discovery process, as it is done in the Semantic Web vision. This thesis presents a framework for semantic Web service discovery using…

[INFO.INFO-WB] Computer Science [cs]/Webdécouverte de servicesservice discoveryRDFservices Web sémantiques[INFO.INFO-MC] Computer Science [cs]/Mobile ComputingAndroiddécouverte de services Web sémantiquessemantic Web serviceWeb sémantique[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]semantic Web service discoverySemantic WebOWL
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ScaleSem : model checking and semantic web

2012

The increasing development of networks and especially the Internet has greatly expanded the gap between heterogeneous information systems. In a review of studies of interoperability of heterogeneous information systems, we find that all the work in this area tends to be in solving the problems of semantic heterogeneity. The W3C (World Wide Web Consortium) standards proposed to represent the semantic ontology. Ontology is becoming an indispensable support for interoperability of information systems, and in particular the semantics. The structure of the ontology is a combination of concepts, properties and relations. This combination is also called a semantic graph. Several languages have bee…

[SPI.OTHER]Engineering Sciences [physics]/Other[ SPI.OTHER ] Engineering Sciences [physics]/Other[SPI.OTHER] Engineering Sciences [physics]/OtherVérification de graphes sémantiques[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]OntologieNo english keywordRequête en logique temporelle (Query Checking)Logique temporelle CTLModel Checking[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Méthodes formellesModel Checker SPINLogique temporelleRDF\OWLModel Checker NuSMVGraphe sémantique[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Incohérence d’ontologieÉvolution d’ontologieLogique temporelle LTLWeb sémantique
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Big Data Metadata Management in Smart Grids

2014

Smart home, smart grids, smart museum, smart cities, etc. are making the vision for living in smart environments come true. These smart environments are built based upon the Internet of Things paradigm where many devices and applications are involved. In these environments, data are collected from various sources in diverse formats. The data are then processed by different intelligent systems with the purpose of providing efficient system planning, power delivery, and customer operations. Even though there are known technologies for most of these smart environments, putting them together to make intelligent and context-aware systems is not an easy task. The reason is that there are semantic…

business.industryComputer scienceBig dataIntelligent decision support systemcomputer.file_formatData scienceWorld Wide WebMetadataSmart gridHome automationMetadata managementSmart environmentRDFbusinessInternet of Thingscomputer
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RDF-Based Web Information Integration System: A Travel System Use Case

2018

Enterprises are continually faced with the challenge of integrating heterogeneous systems with incompatible interfaces, data structures (Source structured relational databases, semi-structured sources, XML, or unstructured documents: texts), access mode and technologies. When companies adopt SOA (Service Oriented Architecture), that provides an alternative to traditional design of applications by allowing a designer to assemble and compose existing services that implement the functions of a given application domain, they realize that there is a significant risk that Web services only do not solve the problem of compatibility in the data. Our paper gives a solution to these issues by setting…

business.industryRelational databaseComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.file_formatService-oriented architecturecomputer.software_genreData structureApplication domain020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRDFWeb serviceSoftware engineeringbusinesscomputerXMLData integration2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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ViziQuer rīka realizācija tīmekļa vidē

2016

Kvalifikācijas darbā “Viziquer rīka realizācija tīmekļa vidē” izstrādāta programmatūra, kas nodrošina ViziQuer rīka tīmekļa vides versijas darbības ar izvēlnēm, vaicājuma diagrammas papildināšanu ar saistītajiem elementiem, kā arī SPARQL valodā rakstītā vaicājuma ģenerēšanu. Darbs ir izstrādāts Latvijas Universitātes Matemātikas un Informātikas Institūtā. Darbs sastāv no sekojošām nodaļām: programmatūras prasību specifikācija, programmatūras projektējuma apraksts, projekta organizācija, kvalitātes nodrošināšana, konfigurāciju pārvaldība, testēšanas dokumentācija un darbietilpības novērtējums. Pielikumā ir pievienots izstrādātas programmatūras kods.

diagrammatiska notācijaDatorzinātnevaicājumiSPARQLRDF
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Biochar from Waste Derived Fuels as Low-Cost Adsorbent for Waste Hydrocarbons

2020

Abstract The aim of this study is to prove technical feasibility of combined refuse derived fuel (RDF) torrefaction and oily wastewater treatment approach by using RDF derived biochar as a sorption media. Biochars prepared from refuse derived fuels in torrefaction, carbonization and pyrolysis modes were analysed as fuels and as hydrocarbon sorbents. Changes of elemental composition and properties of material during thermal treatment and subsequent washing process have been analysed. Experimental evaluation of sorption behaviour of toluene and diesel fuel on obtained biochar performed. Our results show that torrefaction/carbonization of RDF coupled with the subsequent washing of biochar is a…

emulsified wastesMaterials scienceRenewable Energy Sustainability and the EnvironmentCarbonization020209 energycarbonizationTJ807-83002 engineering and technology010501 environmental sciencesTorrefactionrdf (refuse derived fuel)01 natural sciencesRenewable energy sourcestorrefactionAdsorptionChemical engineeringBiochar0202 electrical engineering electronic engineering information engineeringAbsorption (electromagnetic radiation)absorption0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental and Climate Technologies
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