Introducing JDBC for SPARQL
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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. -
Is a SPARQL Endpoint a Good Way to Manage Nursing Documentation
Is a SPARQL Endpoint a Good way to Manage Nursing Documentation Is a SPARQL Endpoint a good way to Manage Nursing Documentation by Muhammad Aslam Supervisor: Associate Professor Jan Pettersen Nytun Project report for Master Thesis in Information & Communication Technology IKT 590 in Spring 2014 University of Agder Faculty of Engineering and Science Grimstad, 2 June 2014 Status: Final Keywords: Semantic Web, Ontology, Jena, SPARQL, Triple Store, Relational Database Page 1 of 86 Is a SPARQL Endpoint a Good way to Manage Nursing Documentation Abstract. In Semantic Web there are different technologies available, among these technologies ontologies are considered a basic technology to promote semantic management and activities. An ontology is capable to exhibits a common, shareable and reusable view of a specific application domain, and they give meaning to information structures that are exchanged by information systems [63]. In this project our main goal is to develop an application that helps to store and manage the patient related clinical data. For this reason first we made an ontology, in ontology we add some patient related records. After that we made a Java application in which we read this ontology by the help of Jena. Then we checked this application with some other database solutions such as Triple Store (Jena TDB) and Relational database (Jena SDB). After that we performed SPARQL Queries to get results that reads from databases we have used, on the basis of results that we received after performing SPARQL Queries, we made an analysis on the performance and efficiency of databases. In these results we found that Triple Stores (Jena TDB) have capabilities to response very fast among other databases. -
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 . -
A Survey of Geospatial Semantic Web for Cultural Heritage
heritage Review A Survey of Geospatial Semantic Web for Cultural Heritage Ikrom Nishanbaev 1,* , Erik Champion 1 and David A. McMeekin 2 1 School of Media, Creative Arts, and Social Inquiry, Curtin University, Perth, WA 6845, Australia; [email protected] 2 School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia; [email protected] * Correspondence: [email protected] Received: 23 April 2019; Accepted: 16 May 2019; Published: 20 May 2019 Abstract: The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. -
Diplomová Práce Přenos Dat Z Registru SITS Ve Formátu DASTA
Západočeská univerzita v Plzni Fakulta aplikovaných věd Katedra informatiky a výpočetní techniky Diplomová práce Přenos dat z registru SITS (Safe Impementation of Treatments in Stroke) ve formátu DASTA Plzeň, 2012 Bc. Pavel Karlík 1 Originální zadání práce 2 Prohlášení: Prohlašuji, že jsem diplomovou práci vypracoval samostatně a výhradně s použitím citovaných pramenů, pokud není explicitně uvedeno jinak. V Plzni dne …………… Bc. Pavel Karlík ………………… 3 Abstract Data Transfer from the SITS Registry (Safe Implementation of Treatments in Stroke) in the Format of DASTA The goal of this master´s thesis is to analyze the data standards in the field of medical applications with focus on the format DASTA, work with them and developing a suitable web-based tool for doctors in the FN Plzeň hospital to simplify the forms filling in the SITS registry. Application will be user-friendly with the focus on one-click access, multi-lingual, adaptive to changes, and fill in the forms with the data from hospital database stored in the DASTA. In the background will send same data also to the Department of Computer Science and Engineering in the University of West Bohemia for future research. 4 Poděkování Tímto bych chtěl poděkovat paní Doc. Dr. Ing. Janě Klečkové za neutuchající optimismus a podporu, který mně byl motivací během celé doby mé práce. Dále si cením věnovaného času a pomoci, která mi byla velkou podporou při tvorbě. Poděkování patří také mé rodině a blízkým za jejich ohleduplnost a motivaci. 5 Obsah 1 ÚVOD ............................................................................................................ 9 2 DATOVÉ STANDARDY .................................................................................. 10 2.1 STANDARDY OBECNĚ ......................................................................................... 10 2.1 DASTA .......................................................................................................... 12 2.1.1 Historie ................................................................................................ -
Supporting SPARQL Update Queries in RDF-XML Integration *
Supporting SPARQL Update Queries in RDF-XML Integration * Nikos Bikakis1 † Chrisa Tsinaraki2 Ioannis Stavrakantonakis3 4 Stavros Christodoulakis 1 NTU Athens & R.C. ATHENA, Greece 2 EU Joint Research Center, Italy 3 STI, University of Innsbruck, Austria 4 Technical University of Crete, Greece Abstract. The Web of Data encourages organizations and companies to publish their data according to the Linked Data practices and offer SPARQL endpoints. On the other hand, the dominant standard for information exchange is XML. The SPARQL2XQuery Framework focuses on the automatic translation of SPARQL queries in XQuery expressions in order to access XML data across the Web. In this paper, we outline our ongoing work on supporting update queries in the RDF–XML integration scenario. Keywords: SPARQL2XQuery, SPARQL to XQuery, XML Schema to OWL, SPARQL update, XQuery Update, SPARQL 1.1. 1 Introduction The SPARQL2XQuery Framework, that we have previously developed [6], aims to bridge the heterogeneity issues that arise in the consumption of XML-based sources within Semantic Web. In our working scenario, mappings between RDF/S–OWL and XML sources are automatically derived or manually specified. Using these mappings, the SPARQL queries are translated on the fly into XQuery expressions, which access the XML data. Therefore, the current version of SPARQL2XQuery provides read-only access to XML data. In this paper, we outline our ongoing work on extending the SPARQL2XQuery Framework towards supporting SPARQL update queries. Both SPARQL and XQuery have recently standardized their update operation seman- tics in the SPARQL 1.1 and XQuery Update Facility, respectively. We have studied the correspondences between the update operations of these query languages, and we de- scribe the extension of our mapping model and the SPARQL-to-XQuery translation algorithm towards supporting SPARQL update queries. -
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. -
Profiting from Kitties on Ethereum: Leveraging Blockchain RDF Data with SANSA
Profiting from Kitties on Ethereum: Leveraging Blockchain RDF Data with SANSA Damien Graux1, Gezim Sejdiu2, Hajira Jabeen2, Jens Lehmann1;2, Danning Sui3, Dominik Muhs3 and Johannes Pfeffer3 1 Fraunhofer IAIS, Germany fdamien.graux,[email protected] 2 Smart Data Analytics, University of Bonn, Germany fsejdiu,jabeen,[email protected] 3 Alethio [email protected] fdanning.sui,[email protected] Abstract. In this poster, we will present attendees how the recent state- of-the-art Semantic Web tool SANSA could be used to tackle blockchain specific challenges. In particular, the poster will focus on the use case of CryptoKitties: a popular Ethereum-based online game where users are able to trade virtual kitty pets in a secure way. 1 Introduction During the recent years, the interest of the research community for blockchain technologies has raised up since the Bitcoin white paper published by Nakamoto [4]. Indeed, several applications either practical or theoretical have been made, for instance with crypto-currencies or with secured exchanges of data. More specifically, several blockchain systems have been designed, each one having their own set of properties, for example Ethereum [6] {further described in Section2{ which provides access to so-called smart-contracts. Recently, Mukhopadhyay et al. surveyed major crypto-currencies in [3]. In parallel to ongoing blockchain development, the research community has focused on the possibilities offered by the Semantic Web such as designing efficient data management systems, dealing with large and distributed knowledge RDF graphs. As a consequence, recently, some studies have started to connect the Semantic Web world with the blockchain one, see for example the study of English et al.