Sökning: "SPARQL"

Visar resultat 1 - 5 av 6 avhandlingar innehållade ordet SPARQL.

  1. 1. Scalable Preservation, Reconstruction, and Querying of Databases in terms of Semantic Web Representations

    Författare :Silvia Stefanova; Tore Risch; Stefan Decker; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; RDF; RDFS; RDF view; SPARQL; SPARQL query processing; rewrite optimization; Topic Maps; querying of RDF views; archive relational databases; reconstruct archived databases; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Sammanfattning : This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of databases.An approach has been developed for selective scalable long-term archival of relational databases (RDBs) as RDF, implemented in the SAQ (Semantic Archive and Query) system. LÄS MER

  2. 2. Semantic Web Queries over Scientific Data

    Författare :Andrej Andrejev; Tore Risch; Kjell Orsborn; Ruslan Fomkin; Gerhard Weikum; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; RDF; SPARQL; Arrays; Query optimization; Second-order functions; Scientific workflows; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Sammanfattning : Semantic Web and Linked Open Data provide a potential platform for interoperability of scientific data, offering a flexible model for providing machine-readable and queryable metadata. However, RDF and SPARQL gained limited adoption within the scientific community, mainly due to the lack of support for managing massive numeric data, along with certain other important features – such as extensibility with user-defined functions, query modularity, and integration with existing environments and workflows. LÄS MER

  3. 3. Reproducible Data Analysis in Drug Discovery with Scientific Workflows and the Semantic Web

    Författare :Samuel Lampa; Ola Spjuth; Roland Grafström; Konrad Hinsen; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES; Reproducibility; Scientific Workflow Management Systems; Workflows; Pipelines; Flow-based programming; Predictive modelling; Semantic Web; Linked Data; Semantic MediaWiki; MediaWiki; RDF; SPARQL; Golang; Reproducerbarhet; Arbetsflödeshanteringssystem; Flödesbaserad programmering; Prediktiv modellering; Semantiska webben; Länkade data; Go; Bioinformatics; Bioinformatik; Pharmacology; Farmakologi;

    Sammanfattning : The pharmaceutical industry is facing a research and development productivity crisis. At the same time we have access to more biological data than ever from recent advancements in high-throughput experimental methods. LÄS MER

  4. 4. Querying RDF Schema Views of Relational Databases

    Författare :Johan Petrini; Tore Risch; Larry Kerschberg; Uppsala universitet; []
    Nyckelord :query processing; partial evaluation; rdf; rdf schema; view; relational databases; semantic web;

    Sammanfattning : The amount of data found on the web today and its lack of semantics makes it increasingly harder to retrieve a particular piece of information. With the Resource Description Framework (RDF) every piece of information can be annotated with properties describing its semantics. LÄS MER

  5. 5. Towards Semantically Enabled Complex Event Processing

    Författare :Robin Keskisärkkä; Eva Blomqvist; Henrik Eriksson; Daniele Dell'Aglio; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Semantic Web; RDF stream processing; Complex Event Processing; Event modeling; Query abstraction;

    Sammanfattning : The Semantic Web provides a framework for semantically annotating data on the web, and the Resource Description Framework (RDF) supports the integration of structured data represented in heterogeneous formats. Traditionally, the Semantic Web has focused primarily on more or less static data, but information on the web today is becoming increasingly dynamic. LÄS MER