Search results for "SPARQL"

showing 10 items of 42 documents

Introduction of a spatial layer in the Semantic Web framework : a proposition through the Web platform ArchaeoKM

2011

Spatial technology has gained momentum under database systems. More specifically, the spatial operations and spatial functions are used to carry out spatial analysis which can be executed through these database systems. In addition, there has been significant amount of research in the field of the geospatial ontology domain in order to achieve the semantic interoperability between different data sources. Although, data interoperability is one of the main objectives of the Semantic Web technologies, the potentiality of the underlying knowledge tools and techniques have not been completely identified. With the growing influence of the Semantic Web technologies towards the application based on…

Système d’information géographiqueSpatial AnalysisOntologie de haut niveauWeb SémantiqueTop Level Ontology[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]GISSPARQLPile du Web SémantiqueArchéologie industrielleInférence[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Analyse spatialIndustrial ArchaeologyKnowledge Management[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Semantic Web StackSWRLSemantic WebOWLGestion de la connaissance
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Towards Graphical Query Notation for Semantic Databases

2015

We describe a notation and a tool for schema-enabled visual/diagrammatic creation of SPARQL queries over RDF databases. The notation and the tool support both the standard basic query pattern comprising a main query class and possibly linked condition classes and means for aggregate query definition and placing conditions over aggregates including also aggregation of aggregate results. We discuss the applicability of the tool for ad-hoc query formulation in practical use cases.

Web search queryInformation retrievalComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALAggregate (data warehouse)InformationSystems_DATABASEMANAGEMENTcomputer.file_formatQuery languageQuery optimizationNotationSPARQLSargableQuery by Examplecomputercomputer.programming_language
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Semantic to intelligent web era

2013

International audience; The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a ne…

Web standards[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]medicine.medical_specialty[INFO.INFO-WB] Computer Science [cs]/WebComputer scienceInternet of Things[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer sciencecomputer.software_genreSPARQLData SemanticsSocial Semantic WebRDFKnowledge baseIntelligent ServicesWorld Wide Web[SCCO.COMP] Cognitive science/Computer sciencemedicine[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebData WebSemantic WebOWL[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XMLWeb[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]Web serviceWeb intelligencebusinesscomputerWeb modelingProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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Ontology-Based Information System

2014

We describe a novel way for creating information systems based on ontologies. The described solution is aimed at domain experts who would benefit from being able to quickly prototype fully-functional, web-based information system for data input, editing and analysis. The systems backbone is SPARQL 1.1 endpoint that enables organization users to view and edit the data, while outside users can get read-only access to the endpoint. The system prototype is implemented and successfully tested with Latvian medical data ontology with 60 classes and imported 5 000 000 data-level triples.

World Wide WebComputer scienceOntology-based data integrationInformation systemSPARQLWeb Ontology Languagecomputer.file_formatData inputOntology (information science)computerDomain (software engineering)computer.programming_language
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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

2016

International audience; The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through …

[ INFO ] Computer Science [cs]Geospatial analysisComputer scienceInteroperabilitySemantification02 engineering and technologySDIcomputer.software_genreSocial Semantic Web020204 information systems0202 electrical engineering electronic engineering information engineeringSemantic analyticsGeospatial PDF[INFO]Computer Science [cs]Web Coverage ServiceSemantic Web StackSemantic WebData WebR2RMLInformation retrievalLand usebusiness.industryCIPcomputer.file_formatGeoSPARQLInteroperabilityGeoSPARQLSemantic technology020201 artificial intelligence & image processingHeterogeneitybusinesscomputer
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RDF2SPIN: Mapping Semantic Graphs to SPIN Model Checker

2011

International audience; The most frequently used language to represent the semantic graphs is the RDF (W3C standard for meta-modeling). The construction of semantic graphs is a source of numerous errors of interpretation. 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 between two areas: the semantic web and the model checking. For this, we developed a tool, RDF2SPIN, which converts RDF graphs into SPIN language. This conversion aims checking the semantic graphs with the model checker SPIN in order to verify the consistency of the data. To illustrate our propos…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationTheoretical computer science[INFO.INFO-WB] Computer Science [cs]/WebComputer science0211 other engineering and technologies[ INFO.INFO-WB ] Computer Science [cs]/WebTemporal logic02 engineering and technologyRDF/XMLRDF020204 information systemsSemantic computing021105 building & construction0202 electrical engineering electronic engineering information engineeringSPARQLBIMRDFCwmSemantic WebBIM.Semantic Web Rule Language[INFO.INFO-WB]Computer Science [cs]/WebModel-Checkingcomputer.file_format[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSPINSemantic graphSemantic technologyIFC[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulationcomputer
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Extending SPARQL with Temporal Logic

2009

The data integration and sharing activities carried on in the framework of the Semantic Web lead to large knowledge bases that must be queried, analyzed, and exploited efficiently. Many of the knowledge representation languages of the Semantic Web, starting with RDF, are based on directed, labeled graphs, which can be also manipulated using graph algorithms and tools coming from other domains. In this paper, we propose an analysis approach of RDF graphs by reusing the verification technology developed for concurrent systems. To this purpose, we define a translation from the SPARQL query language into XTL, a general-purpose graph manipulation language implemented in the CADP verification too…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebInformationSystems_DATABASEMANAGEMENTlabeled transition system[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]ACM : H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages/H.2.3.3: Query languagesSPARQL[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodel checkingRDFACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.4: Model checking[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]temporal logicACM : D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.4: Model checking[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages/H.2.3.3: Query languages[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulationverification
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A new approach based on NμSMV Model to query semantic graph

2011

International audience; The language most frequently used to represent the semantic graphs is the RDF (W3C standard for meta-modeling). The construction of semantic graphs is a source of numerous errors of interpretation. Processing of large semantic graphs can be a limit to use semantics in modern information systems. The work presented in this paper is part of a new research at the border between two areas: the semantic web and the model checking. For this, we developed a tool, RDF2NμSMV, which converts RDF graphs into NμSMV language. This conversion aims checking the semantic graphs with the model checker NμSMV in order to verify the consistency of the data. The data integration and shar…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/WebNμSMVTemporal logic02 engineering and technologycomputer.software_genreQuery languageSPARQLtemporal logic queryRDFModel CheckingSemantic similarity020204 information systemsSemantic computing0202 electrical engineering electronic engineering information engineeringSPARQLRDFSemantic WebGraph databaseInformation retrieval[INFO.INFO-WB]Computer Science [cs]/Webcomputer.file_format[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAbstract semantic graphSemantic graphQuery checking020201 artificial intelligence & image processing[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulationcomputer
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FOWLA, A Federated Architecture for Ontologies.

2015

International audience; The progress of information and communication technologies has greatly increased the quantity of data to process. Thus, managing data heterogeneity is a problem nowadays. In the 1980s, the concept of a Federated Database Architecture (FDBA) was introduced as a collection of components to unite loosely coupled federation. Semantic web technologies mitigate the data heterogeneity problem, however due to the data structure heterogeneity the integration of several ontologies is still a complex task. For tackling this problem, we propose a loosely coupled federated ontology architecture (FOWLA). Our approach allows the coexistence of various ontologies sharing common data…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Federated Ontology ArchitectureComputer scienceProcess (engineering)Distributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontology (information science)SPARQL[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide WebSPARQLArchitecture[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebComputingMilieux_MISCELLANEOUSSWRLOWLHorn-like rules[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]computer.file_formatSemantic interoperabilityData structuresemantic interoperabilitybackward-chaining reasoningInformation and Communications Technologycomputer
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A Rule Based System for Semantical Enrichment of Building Information Exchange

2014

International audience; In the area of building construction and management, the dematerial-ization of data and processes has been a global issue for the past 10 years. Go-ing beyond the geometric representation of a building, Building Information Modeling (BIM) is an approach that aims at integrating into one single system heterogeneous data and processes from different actors. Such integration is a complex and fastidious task. The implementation of the related processes for data querying, retrieval or modification is not less difficult. To tackle this prob-lem, we have developed a novel approach based on Semantic Web technolo-gies. In doing so, we have defined an ontology inspired on IFC …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]semantic webAECBIMIFContologies[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]SWRLOWL
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