Supporting SPARQL Update Queries in RDF-XML Integration *
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Basic Querying with SPARQL
Basic Querying with SPARQL Andrew Weidner Metadata Services Coordinator SPARQL SPARQL SPARQL SPARQL SPARQL Protocol SPARQL SPARQL Protocol And SPARQL SPARQL Protocol And RDF SPARQL SPARQL Protocol And RDF Query SPARQL SPARQL Protocol And RDF Query Language SPARQL SPARQL Protocol And RDF Query Language SPARQL Query SPARQL Query Update SPARQL Query Update - Insert triples SPARQL Query Update - Insert triples - Delete triples SPARQL Query Update - Insert triples - Delete triples - Create graphs SPARQL Query Update - Insert triples - Delete triples - Create graphs - Drop graphs Query RDF Triples Query RDF Triples Triple Store Query RDF Triples Triple Store Data Dump Query RDF Triples Triple Store Data Dump Subject – Predicate – Object Query Subject – Predicate – Object ?s ?p ?o Query Dog HasName Cocoa Subject – Predicate – Object ?s ?p ?o Query Cocoa HasPhoto ------- Subject – Predicate – Object ?s ?p ?o Query HasURL http://bit.ly/1GYVyIX Subject – Predicate – Object ?s ?p ?o Query ?s ?p ?o Query SELECT ?s ?p ?o Query SELECT * ?s ?p ?o Query SELECT * WHERE ?s ?p ?o Query SELECT * WHERE { ?s ?p ?o } Query select * WhErE { ?spiderman ?plays ?oboe } http://deathbattle.wikia.com/wiki/Spider-Man http://www.mmimports.com/wp-content/uploads/2014/04/used-oboe.jpg Query SELECT * WHERE { ?s ?p ?o } Query SELECT * WHERE { ?s ?p ?o } Query SELECT * WHERE { ?s ?p ?o } Query SELECT * WHERE { ?s ?p ?o } LIMIT 10 SELECT * WHERE { ?s ?p ?o } LIMIT 10 http://dbpedia.org/snorql SELECT * WHERE { ?s ?p ?o } LIMIT 10 http://dbpedia.org/snorql SELECT * WHERE { ?s -
Mapping Spatiotemporal Data to RDF: a SPARQL Endpoint for Brussels
International Journal of Geo-Information Article Mapping Spatiotemporal Data to RDF: A SPARQL Endpoint for Brussels Alejandro Vaisman 1, * and Kevin Chentout 2 1 Instituto Tecnológico de Buenos Aires, Buenos Aires 1424, Argentina 2 Sopra Banking Software, Avenue de Tevuren 226, B-1150 Brussels, Belgium * Correspondence: [email protected]; Tel.: +54-11-3457-4864 Received: 20 June 2019; Accepted: 7 August 2019; Published: 10 August 2019 Abstract: This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. -
Validating RDF Data Using Shapes
83 Validating RDF data using Shapes a Jose Emilio Labra Gayo a University of Oviedo, Spain Abstract RDF forms the keystone of the Semantic Web as it enables a simple and powerful knowledge representation graph based data model that can also facilitate integration between heterogeneous sources of information. RDF based applications are usually accompanied with SPARQL stores which enable to efficiently manage and query RDF data. In spite of its well known benefits, the adoption of RDF in practice by web programmers is still lacking and SPARQL stores are usually deployed without proper documentation and quality assurance. However, the producers of RDF data usually know the implicit schema of the data they are generating, but they don't do it traditionally. In the last years, two technologies have been developed to describe and validate RDF content using the term shape: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL). We will present a motivation for their appearance and compare them, as well as some applications and tools that have been developed. Keywords RDF, ShEx, SHACL, Validating, Data quality, Semantic web 1. Introduction In the tutorial we will present an overview of both RDF is a flexible knowledge and describe some challenges and future work [4] representation language based of graphs which has been successfully adopted in semantic web 2. Acknowledgements applications. In this tutorial we will describe two languages that have recently been proposed for This work has been partially funded by the RDF validation: Shape Expressions (ShEx) and Spanish Ministry of Economy, Industry and Shapes Constraint Language (SHACL).ShEx was Competitiveness, project: TIN2017-88877-R proposed as a concise and intuitive language for describing RDF data in 2014 [1]. -
Computational Integrity for Outsourced Execution of SPARQL Queries
Computational integrity for outsourced execution of SPARQL queries Serge Morel Student number: 01407289 Supervisors: Prof. dr. ir. Ruben Verborgh, Dr. ir. Miel Vander Sande Counsellors: Ir. Ruben Taelman, Joachim Van Herwegen Master's dissertation submitted in order to obtain the academic degree of Master of Science in Computer Science Engineering Academic year 2018-2019 Computational integrity for outsourced execution of SPARQL queries Serge Morel Student number: 01407289 Supervisors: Prof. dr. ir. Ruben Verborgh, Dr. ir. Miel Vander Sande Counsellors: Ir. Ruben Taelman, Joachim Van Herwegen Master's dissertation submitted in order to obtain the academic degree of Master of Science in Computer Science Engineering Academic year 2018-2019 iii c Ghent University The author(s) gives (give) permission to make this master dissertation available for consultation and to copy parts of this master dissertation for personal use. In the case of any other use, the copyright terms have to be respected, in particular with regard to the obligation to state expressly the source when quoting results from this master dissertation. August 16, 2019 Acknowledgements The topic of this thesis concerns a rather novel and academic concept. Its research area has incredibly talented people working on a very promising technology. Understanding the core principles behind proof systems proved to be quite difficult, but I am strongly convinced that it is a thing of the future. Just like the often highly-praised artificial intelligence technology, I feel that verifiable computation will become very useful in the future. I would like to thank Joachim Van Herwegen and Ruben Taelman for steering me in the right direction and reviewing my work quickly and intensively. -
Bibliography of Erik Wilde
dretbiblio dretbiblio Erik Wilde's Bibliography References [1] AFIPS Fall Joint Computer Conference, San Francisco, California, December 1968. [2] Seventeenth IEEE Conference on Computer Communication Networks, Washington, D.C., 1978. [3] ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, Los Angeles, Cal- ifornia, March 1982. ACM Press. [4] First Conference on Computer-Supported Cooperative Work, 1986. [5] 1987 ACM Conference on Hypertext, Chapel Hill, North Carolina, November 1987. ACM Press. [6] 18th IEEE International Symposium on Fault-Tolerant Computing, Tokyo, Japan, 1988. IEEE Computer Society Press. [7] Conference on Computer-Supported Cooperative Work, Portland, Oregon, 1988. ACM Press. [8] Conference on Office Information Systems, Palo Alto, California, March 1988. [9] 1989 ACM Conference on Hypertext, Pittsburgh, Pennsylvania, November 1989. ACM Press. [10] UNIX | The Legend Evolves. Summer 1990 UKUUG Conference, Buntingford, UK, 1990. UKUUG. [11] Fourth ACM Symposium on User Interface Software and Technology, Hilton Head, South Carolina, November 1991. [12] GLOBECOM'91 Conference, Phoenix, Arizona, 1991. IEEE Computer Society Press. [13] IEEE INFOCOM '91 Conference on Computer Communications, Bal Harbour, Florida, 1991. IEEE Computer Society Press. [14] IEEE International Conference on Communications, Denver, Colorado, June 1991. [15] International Workshop on CSCW, Berlin, Germany, April 1991. [16] Third ACM Conference on Hypertext, San Antonio, Texas, December 1991. ACM Press. [17] 11th Symposium on Reliable Distributed Systems, Houston, Texas, 1992. IEEE Computer Society Press. [18] 3rd Joint European Networking Conference, Innsbruck, Austria, May 1992. [19] Fourth ACM Conference on Hypertext, Milano, Italy, November 1992. ACM Press. [20] GLOBECOM'92 Conference, Orlando, Florida, December 1992. IEEE Computer Society Press. http://github.com/dret/biblio (August 29, 2018) 1 dretbiblio [21] IEEE INFOCOM '92 Conference on Computer Communications, Florence, Italy, 1992. -
Introduction Vocabulary an Excerpt of a Dbpedia Dataset
D2K Master Information Integration Université Paris Saclay Practical session (2): SPARQL Sources: http://liris.cnrs.fr/~pchampin/2015/udos/tuto/#id1 https://www.w3.org/TR/2013/REC-sparql11-query-20130321/ Introduction For this practical session, we will use the DBPedia SPARQL access point, and to access it, we will use the Yasgui online client. By default, Yasgui (http://yasgui.org/) is configured to query DBPedia (http://wiki.dbpedia.org/), which is appropriate for our tutorial, but keep in mind that: - Yasgui is not linked to DBpedia, it can be used with any SPARQL access point; - DBPedia is not related to Yasgui, it can be queried with any SPARQL compliant client (in fact any HTTP client that is not very configurable). Vocabulary An excerpt of a dbpedia dataset The vocabulary of DBPedia is very large, but in this tutorial we will only need the IRIs below. foaf:name Propriété Nom d’une personne (entre autre) dbo:birthDate Propriété Date de naissance d’une personne dbo:birthPlace Propriété Lieu de naissance d’une personne dbo:deathDate Propriété Date de décès d’une personne dbo:deathPlace Propriété Lieu de décès d’une personne dbo:country Propriété Pays auquel un lieu appartient dbo:mayor Propriété Maire d’une ville dbr:Digne-les-Bains Instance La ville de Digne les bains dbr:France Instance La France -1- /!\ Warning: IRIs are case-sensitive. Exercises 1. Display the IRIs of all Dignois of origin (people born in Digne-les-Bains) Graph Pattern Answer: PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX dbo: <http://dbpedia.org/ontology/> PREFIX dbr: <http://dbpedia.org/resource/> PREFIX db: <http://dbpedia.org/> SELECT * WHERE { ?p dbo:birthPlace dbr:Digne-les-Bains . -
Refactoring XSLT
XSLT and XQuery September 19, 2019 Refactoring XSLT Priscilla Walmsley, Datypic, Inc. Class Outline Introduction ......................................................................................................................................2 Cleaning Up......................................................................................................................................9 Improving Code Quality..................................................................................................................14 Other Improvements.......................................................................................................................21 Introduction 2 Obligatory Wikipedia Quote 3 Code refactoring is the process of restructuring existing computer code - changing the factoring - without changing its external behavior. Refactoring improves nonfunctional attributes of the software. Advantages include improved code readability and reduced complexity; these can improve source code maintainability and create a more expressive internal architecture or object model to improve extensibility. Typically, refactoring applies a series of standardised basic micro-refactorings, each of which is (usually) a tiny change in a computer program's source code that either preserves the behaviour of the software, or at least does not modify its conformance to functional requirements. Many development environments provide automated support for performing the mechanical aspects of these basic refactorings. If done extremely well, code -
XML Transformations, Views and Updates Based on Xquery Fragments
Faculteit Wetenschappen Informatica XML Transformations, Views and Updates based on XQuery Fragments Proefschrift voorgelegd tot het behalen van de graad van doctor in de wetenschappen aan de Universiteit Antwerpen, te verdedigen door Roel VERCAMMEN Promotor: Prof. Dr. Jan Paredaens Antwerpen, 2008 Co-promotor: Dr. Ir. Jan Hidders XML Transformations, Views and Updates based on XQuery Fragments Roel Vercammen Universiteit Antwerpen, 2008 http://www.universiteitantwerpen.be Permission to make digital or hard copies of portions of this work for personal or classroom use is granted, provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice. Copyrights for components of this work owned by others than the author must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission of the author. Research funded by a Ph.D. grant of the Institute for the Promotion of Innovation through Science and Technology in Flan- ders (IWT-Vlaanderen). { Onderzoek gefinancierd met een specialisatiebeurs van het Instituut voor de Aanmoediging van Innovatie door Wetenschap en Technologie in Vlaanderen (IWT-Vlaanderen). Grant number / Beurs nummer: 33581. http://www.iwt.be Typesetting by LATEX Acknowledgements This thesis is the result of the contributions of many friends and colleagues to whom I would like to say \thank you". First and foremost, I want to thank my advisor Jan Paredaens, who gave me the opportunity to become a researcher and teached me how good research should be performed. I had the honor to write several papers in collaboration with him and will always remember the discussions and his interesting views on research, politics and gastronomy. -
Querying Distributed RDF Data Sources with SPARQL
Querying Distributed RDF Data Sources with SPARQL Bastian Quilitz and Ulf Leser Humboldt-Universit¨at zu Berlin {quilitz,leser}@informatik.hu-berlin.de Abstract. Integrated access to multiple distributed and autonomous RDF data sources is a key challenge for many semantic web applications. As a reaction to this challenge, SPARQL, the W3C Recommendation for an RDF query language, supports querying of multiple RDF graphs. However, the current standard does not provide transparent query fed- eration, which makes query formulation hard and lengthy. Furthermore, current implementations of SPARQL load all RDF graphs mentioned in a query to the local machine. This usually incurs a large overhead in network traffic, and sometimes is simply impossible for technical or le- gal reasons. To overcome these problems we present DARQ, an engine for federated SPARQL queries. DARQ provides transparent query ac- cess to multiple SPARQL services, i.e., it gives the user the impression to query one single RDF graph despite the real data being distributed on the web. A service description language enables the query engine to decompose a query into sub-queries, each of which can be answered by an individual service. DARQ also uses query rewriting and cost-based query optimization to speed-up query execution. Experiments show that these optimizations significantly improve query performance even when only a very limited amount of statistical information is available. DARQ is available under GPL License at http://darq.sf.net/. 1 Introduction Many semantic web applications require the integration of data from distributed, autonomous data sources. Until recently it was rather difficult to access and query data in such a setting because there was no standard query language or interface. -
SPARQL Query Processing with Conventional Relational Database Systems
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by e-Prints Soton SPARQL query processing with conventional relational database systems Steve Harris IAM, University of Southampton, UK [email protected] Abstract. This paper describes an evolution of the 3store RDF storage system, extended to provide a SPARQL query interface and informed by lessons learned in the area of scalable RDF storage. 1 Introduction The previous versions of the 3store [1] RDF triplestore were optimised to pro- vide RDQL [2] (and to a lesser extent OKBC [3]) query services, and had no efficient internal representation of the language and datatype extensions from RDF 2004 [4]. This revision of the 3store software adds support for the SPARQL [5] query language, RDF datatype and language support. Some of the representation choices made in the implementation of the previous versions of 3store made efficient support for SPARQL queries difficult. Therefore, a new underlying rep- resentation for the RDF statements was required, as well as a new query en- gine capable of supporting the additional features of SPARQL over RDQL and OKBC. 2 Related Work The SPARQL query language is still at an early stage of standardisation, but there are already other implementations. 2.1 Federate Federate [6] is a relational database gateway, which maps RDF queries to existing database structures. Its goal is for compatibility with existing relational database systems, rather than as a native RDF storage and querying engine. However, it shares the approach of pushing as much processing down into the database engine as possible, though the algorithms employed are necessarily different. -
Access Control Models for XML
Access Control Models for XML Abdessamad Imine Lorraine University & INRIA-LORIA Grand-Est Nancy, France [email protected] Outline • Overview on XML • Why XML Security? • Querying Views-based XML Data • Updating Views-based XML Data 2 Outline • Overview on XML • Why XML Security? • Querying Views-based XML Data • Updating Views-based XML Data 3 What is XML? • eXtensible Markup Language [W3C 1998] <files> "<record>! ""<name>Robert</name>! ""<diagnosis>Pneumonia</diagnosis>! "</record>! "<record>! ""<name>Franck</name>! ""<diagnosis>Ulcer</diagnosis>! "</record>! </files>" 4 What is XML? • eXtensible Markup Language [W3C 1998] <files>! <record>! /files" <name>Robert</name>! <diagnosis>! /record" /record" Pneumonia! </diagnosis> ! </record>! /name" /diagnosis" <record …>! …! </record>! Robert" Pneumonia" </files>! 5 XML for Documents • SGML • HTML - hypertext markup language • TEI - Text markup, language technology • DocBook - documents -> html, pdf, ... • SMIL - Multimedia • SVG - Vector graphics • MathML - Mathematical formulas 6 XML for Semi-Structered Data • MusicXML • NewsML • iTunes • DBLP http://dblp.uni-trier.de • CIA World Factbook • IMDB http://www.imdb.com/ • XBEL - bookmark files (in your browser) • KML - geographical annotation (Google Maps) • XACML - XML Access Control Markup Language 7 XML as Description Language • Java servlet config (web.xml) • Apache Tomcat, Google App Engine, ... • Web Services - WSDL, SOAP, XML-RPC • XUL - XML User Interface Language (Mozilla/Firefox) • BPEL - Business process execution language -
Web and Semantic Web Query Languages: a Survey
Web and Semantic Web Query Languages: A Survey James Bailey1, Fran¸coisBry2, Tim Furche2, and Sebastian Schaffert2 1 NICTA Victoria Laboratory Department of Computer Science and Software Engineering The University of Melbourne, Victoria 3010, Australia http://www.cs.mu.oz.au/~jbailey/ 2 Institute for Informatics,University of Munich, Oettingenstraße 67, 80538 M¨unchen, Germany http://pms.ifi.lmu.de/ Abstract. A number of techniques have been developed to facilitate powerful data retrieval on the Web and Semantic Web. Three categories of Web query languages can be distinguished, according to the format of the data they can retrieve: XML, RDF and Topic Maps. This ar- ticle introduces the spectrum of languages falling into these categories and summarises their salient aspects. The languages are introduced us- ing common sample data and query types. Key aspects of the query languages considered are stressed in a conclusion. 1 Introduction The Semantic Web Vision A major endeavour in current Web research is the so-called Semantic Web, a term coined by W3C founder Tim Berners-Lee in a Scientific American article describing the future of the Web [37]. The Semantic Web aims at enriching Web data (that is usually represented in (X)HTML or other XML formats) by meta-data and (meta-)data processing specifying the “meaning” of such data and allowing Web based systems to take advantage of “intelligent” reasoning capabilities. To quote Berners-Lee et al. [37]: “The Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents roaming from page to page can readily carry out sophisticated tasks for users.” The Semantic Web meta-data added to today’s Web can be seen as advanced semantic indices, making the Web into something rather like an encyclopedia.