Relevant bibliographies by topics / SPARQL

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SPARQL'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "SPARQL"

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Liu, Yunxing. "A Fuzzy Query Method Oriented to Knowledge Graph." Journal of Physics: Conference Series 2221, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2221/1/012051.

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Abstract With the widespread application of Knowledge Graphs, Knowledge Graph query technology has received widespread attention. The daily use of natural language usually contains fuzzy terms. The use of fuzzy terms in queries is more in line with natural language habits. Therefore, fuzzy questions have been widely discussed and applied in relational data models, and their use in NoSQL data models has also begun to be affected in recent years. RDF (Resource Description Framework) is a representative model of the knowledge graph, and SPARQL is the standard query language of RDF. To realize the
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Bizer, Christian, and Andreas Schultz. "The Berlin SPARQL Benchmark." International Journal on Semantic Web and Information Systems 5, no. 2 (2009): 1–24. http://dx.doi.org/10.4018/jswis.2009040101.

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Kim, HyeongSik, Padmashree Ravindra, and Kemafor Anyanwu. "From SPARQL to MapReduce." Proceedings of the VLDB Endowment 4, no. 12 (2011): 1426–29. http://dx.doi.org/10.14778/3402755.3402787.

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Almendros-Jiménez, Jesús M., Antonio Becerra-Terón, Ginés Moreno, and José A. Riaza. "Tuning fuzzy SPARQL queries." International Journal of Approximate Reasoning 170 (July 2024): 109209. http://dx.doi.org/10.1016/j.ijar.2024.109209.

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Zhang, Xiaowang, Jan Van den Bussche, Kewen Wang, Heng Zhang, Xuanxing Yang, and Zhiyong Feng. "On the Expressivity of ASK Queries in SPARQL." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 3057–64. http://dx.doi.org/10.1609/aaai.v34i03.5700.

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As a major query type in SPARQL, ASK queries are boolean queries and have found applications in several domains such as semantic SPARQL optimization. This paper is a first systematic study of the relative expressive power of various fragments of ASK queries in SPARQL. Among many new results, a surprising one is that the operator UNION is redundant for ASK queries. The results in this paper as a whole paint a rich picture for the expressivity of fragments of ASK queries with the four basic operators of SPARQL 1.0 possibly together with a negation. The work in this paper provides a guideline for
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Al Agha, I., and O. El-Radie. "Towards Verbalizing SPARQL Queries in Arabic." Engineering, Technology & Applied Science Research 6, no. 2 (2016): 937–44. http://dx.doi.org/10.48084/etasr.630.

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With the wide spread of Open Linked Data and Semantic Web technologies, a larger amount of data has been published on the Web in the RDF and OWL formats. This data can be queried using SPARQL, the Semantic Web Query Language. SPARQL cannot be understood by ordinary users and is not directly accessible to humans, and thus they will not be able to check whether the retrieved answers truly correspond to the intended information need. Driven by this challenge, natural language generation from SPARQL data has recently attracted a considerable attention. However, most existing solutions to verbalize
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Al, Agha I., and O. El-Radie. "Towards Verbalizing SPARQL Queries in Arabic." Engineering, Technology & Applied Science Research 6, no. 2 (2016): 937–44. https://doi.org/10.5281/zenodo.49884.

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With the wide spread of Open Linked Data and Semantic Web technologies, a larger amount of data has been published on the Web in the RDF and OWL formats. This data can be queried using SPARQL, the Semantic Web Query Language. SPARQL cannot be understood by ordinary users and is not directly accessible to humans, and thus they will not be able to check whether the retrieved answers truly correspond to the intended information need. Driven by this challenge, natural language generation from SPARQL data has recently attracted a considerable attention. However, most existing solutions to verbalize
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Ruchika, Gupta, and Gupta Rupal. "PROCESSING RESOURCE DESCRIPTION FRAMEWORK USING JENA ARQ AND VIRTUOSO." International Journal of Engineering Sciences & Emerging Technologies 11, no. 2 (2023): 95–101. https://doi.org/10.5281/zenodo.10435420.

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<em>Semantic Web technologies have led to the development of RDF (Resource Description Framework) and OWL (Web Ontology Language) for the representation of data on the web. With the growing amount of RDF data, efficient processing and retrieval of information has become a major challenge. SPARQL (SPARQL Protocol and RDF Query Language) is the standard query language for RDF data, which has been widely used for querying RDF data. However, the performance of SPARQL queries can be significantly affected by the size of the RDF data and the complexity of the queries. In this paper, a set of SPARQL
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Florian, Thiery, Charlotte Schmidt Sophie, Homburg Timo, and Trognitz Martina. "The SPARQL Unicorn: An introduction." Squirrel Papers 2, no. 1 (2020): #1. https://doi.org/10.5281/zenodo.3742186.

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What ist the SPARQL Unicorn? How can a unicorn help researchers handling and working with Linked Open Data resources? This working paper will give an overview on the SPARQL unicorn history, the main idea, developed tools and projects.
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BARBIERI, DAVIDE FRANCESCO, DANIELE BRAGA, STEFANO CERI, EMANUELE DELLA VALLE, and MICHAEL GROSSNIKLAUS. "C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS." International Journal of Semantic Computing 04, no. 01 (2010): 3–25. http://dx.doi.org/10.1142/s1793351x10000936.

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This article defines C-SPARQL, an extension of SPARQL whose distinguishing feature is the support of continuous queries, i.e. queries registered over RDF data streams and then continuously executed. Queries consider windows, i.e. the most recent triples of such streams, observed while data is continuously flowing. Supporting streams in RDF format guarantees interoperability and opens up important applications, in which reasoners can deal with evolving knowledge over time. C-SPARQL is presented by means of a full specification of the syntax, a formal semantics, and a comprehensive set of exampl
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Dissertations / Theses on the topic "SPARQL"

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Lax, Mikael. "Wrapping SparQL Query Services." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-134260.

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In a world where information is spread out over innumerable data sources it is often desirable to be able to access data in a unified manner regardless of how it is stored. Amos II is an object-oriented mediator database that can fulfill this role by defining wrappers for foreign data sources and allowing the foreign data to be queried through the query language AmosQL. In this project a facility in Amos II known as the translator API is studied and utilized in order to create a wrapper for the specialized RDF query language SparQL. A major problem encountered when wrapping a foreign data sour
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Salas, Trejo Jaime Osvaldo. "Canonicalisation of SPARQL Queries." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/168379.

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Magíster en Ciencias, Mención Computación. Ingeniero Civil en Computación<br>SPARQL es el lenguaje de consulta estándar para RDF, definido por el World Wide Web Consortium. Presentemente, hay una gran cantidad de servicios de consulta de SPARQL en la Web. También hay una gran demanda por estos servicios diariamente. Debido a la gran cantidad de consultas que deben procesar estos servicios, los procesadores sufren una sobrecarga que podría ser reducida si fuésemos capaces de detectar consultas equivalentes. Nuestra propuesta consiste en el diseño y la implementación de un algoritmo de canoni
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Montoya, Gabriela. "Answering SPARQL Queries using Views." Nantes, 2016. http://archive.bu.univ-nantes.fr/pollux/show.action?id=9fe6e29f-d2fe-4249-b44d-eb4dbe472a99.

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Le web sémantique permet à des fournisseurs de données de mettre en ligne un nombre toujours croissant de jeux données concernant l’ensemble de la société. Ces données peuvent être ensuite consommées en écrivant des requêtes SPARQL. Dans ce cadre, l’exécution efficace de requêtes SPARQL sur l’ensemble des données pertinentes est un enjeu crucial. Malheureusement, SPARQL ne permet pas d’accéder aux données du web profond, réduisant considérablement l’espace de recherche. De plus, l’infrastructure pour exécuter les requêtes SPARQL n’assure pas une bonne disponibilité des données. Afin de traiter
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Maharajan, Shridevika. "Performance of native SPARQL query processors." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-174542.

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Expressing data in RDF is one approach for making data available as Linked Data on the Web. Searching such data requires an RDF database engine providing some query language. The standard query language for RDF is called SPARQL. An RDF database engine can either be a middleware on top of an existing (relational) database or a native RDF store having its own internal data repository. Organizations often have difficulties to decide which solution they should adopt because there are few comprehensive comparisons of existing native RDF stores with respect to performance and scalability. The Berlin
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El, Hassad Sara. "Learning commonalities in RDF & SPARQL." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S011/document.

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La recherche de points communs entre des descriptions de données ou de connaissances est un problème de raisonnement fondamental en Machine Learning, qui a été formalisé par G. Plotkin dans les années 70s sous la forme du calcul du plus petit généralisant de ces descriptions. L'identification des plus petits généralisants a un large panel d'applications qui vont de l'optimisation de requêtes (e.g., pour matérialiser les points communs entre des requêtes lors de la sélection de vues ou pour factoriser leur exécution dans un contexte d'accès concurrentiel), à la recommandation dans le contexte d
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Frosini, Riccardo. "Flexible query processing of SPARQL queries." Thesis, Birkbeck (University of London), 2018. http://bbktheses.da.ulcc.ac.uk/319/.

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SPARQL is the predominant language for querying RDF data, which is the standard model for representing web data and more specifically Linked Open Data (a collection of heterogeneous connected data). Datasets in RDF form can be hard to query by a user if she does not have a full knowledge of the structure of the dataset. Moreover, many datasets in Linked Data are often extracted from actual web page content which might lead to incomplete or inaccurate data. We extend SPARQL 1.1 with two operators, APPROX and RELAX, previously introduced in the context of regular path queries. Using these operat
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Ahmeti, Albin, Diego Calvanese, and Axel Polleres. "Updating RDFS ABoxes and TBoxes in SPARQL." Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4121/1/2014_Polleres.pdf.

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Updates in RDF stores have recently been standardised in the SPARQL 1.1 Update specification. However, computing answers entailed by ontologies in triple stores is usually treated orthogonal to updates. Even the W3C's recent SPARQL 1.1 Update language and SPARQL 1.1 Entailment Regimes specifications explicitly exclude a standard behaviour how SPARQL endpoints should treat entailment regimes other than simple entailment in the context of updates. In this paper, we take a first step to close this gap. We define a fragment of SPARQL basic graph patterns corresponding to (the RDFS fragment
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Espinola, Roger Humberto Castillo. "Indexing RDF data using materialized SPARQL queries." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16582.

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In dieser Arbeit schlagen wir die Verwendung von materialisierten Anfragen als Indexstruktur für RDF-Daten vor. Wir streben eine Reduktion der Bearbeitungszeit durch die Minimierung der Anzahl der Vergleiche zwischen Anfrage und RDF Datenmenge an. Darüberhinaus betonen wir die Rolle von Kostenmodellen und Indizes für die Auswahl eines efizienten Ausführungsplans in Abhängigkeit vom Workload. Wir geben einen Überblick über das Problem der Auswahl von materialisierten Anfragen in relationalen Datenbanken und diskutieren ihre Anwendung zur Optimierung der Anfrageverarbeitung. Wir stellen RDF
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Penteado, Raqueline Ritter de Moura. "Otimização de consultas SPARQL em bases RDF distribuídas." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/47453.

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Orientadora : Profa. Dra Carmem Satie Hara<br>Tese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 07/04/2017<br>Inclui referências : f. 83-85<br>Resumo; O modelo de dados RDF vem sendo usado em diversas aplicações devido a sua simplicidade e exibilidade na modelagem de dados quando comparado aos modelos de dados tradicionais. Dado o grande volume de dados RDF existente atualmente, diversas abordagens de processamento de consultas têm sido propostas visando garantir a escalabilidade destas aplicações. De uma fo
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Schmedding, Florian Günter [Verfasser], and Georg [Akademischer Betreuer] Lausen. "Inkrementelle Auswertung von SPARQL-Anfragen über Linked Data." Freiburg : Universität, 2013. http://d-nb.info/1123476128/34.

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Books on the topic "SPARQL"

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DuCharme, Bob. Learning SPARQL: Querying and updating with SPARQL 1.1. O'Reilly Media, 2011.

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Curé, Olivier. RDF database systems: Triples storage and SPARQL query processing. Morgan Kaufmann, 2015.

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Bahrām, Bahrām Khān. Sparlī sparlī wakhtūnah. Yūnīwarsiṭī Buk Ejansī, 2014.

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Greene, Jennifer. Sparkle. Center Point Pub., 2007.

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Smith, Michael Marshall. Spares. Bantam Books, 1998.

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Anderson, Sparky. Sparky! Prentice Hall Press, 1990.

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Jeff, Gottesfeld, ed. Sparks. Little, Brown, 2004.

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Anderson, Sparky. Sparky! Prentice Hall Press, 1990.

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Thompson, Vicki Lewis. Sparks. Harlequin Books, 2001.

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Smith, Michael Marshall. Spares. Bantam Books, 1997.

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Book chapters on the topic "SPARQL"

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Zou, Lei. "SPARQL." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_80803-1.

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Polleres, Axel. "SPARQL." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_124-1.

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Polleres, Axel. "SPARQL." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_124.

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Polleres, Axel. "SPARQL." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_124.

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Zou, Lei. "SPARQL." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80803.

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Cheng, Jingwei, Z. M. Ma, and Li Yan. "f-SPARQL: A Flexible Extension of SPARQL." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15364-8_41.

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Kurz, Thomas, Sebastian Schaffert, Kai Schlegel, Florian Stegmaier, and Harald Kosch. "SPARQL-MM - Extending SPARQL to Media Fragments." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11955-7_26.

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Bry, François, Tim Furche, Bruno Marnette, Clemens Ley, Benedikt Linse, and Olga Poppe. "SPARQLog: SPARQL with Rules and Quantification." In Semantic Web Information Management. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04329-1_15.

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Vogelgesang, Christian, Torsten Spieldenner, and René Schubotz. "SPARQ $$\lambda $$ λ : SPARQL as a Function." In Lecture Notes in Networks and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12388-8_57.

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Perry, Matthew, Prateek Jain, and Amit P. Sheth. "SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries." In Geospatial Semantics and the Semantic Web. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_3.

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Conference papers on the topic "SPARQL"

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Momani, Zaid, Abdelraouf Ishtaiwi, and Ahmed Noori Rashid. "Efficient SPARQL Query Processing in MapReduce." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11013352.

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Amsterdamer, Yael, and Yehuda Callen. "SPARQLIt: Interactive SPARQL Query Refinement." In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 2021. http://dx.doi.org/10.1109/icde51399.2021.00295.

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Ben Amor, Mehdi, Alexis Strappazzon, Michael Granitzer, Elöd Egyed-Zsigmond, and Jelena Mitrović. "Instruct-to-SPARQL: A text-to-SPARQL dataset for training SPARQL Agents." In CHIIR '25: 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval. ACM, 2025. https://doi.org/10.1145/3698204.3716476.

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Anicic, Darko, Paul Fodor, Sebastian Rudolph, and Nenad Stojanovic. "EP-SPARQL." In the 20th international conference. ACM Press, 2011. http://dx.doi.org/10.1145/1963405.1963495.

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Barbieri, Davide Francesco, Daniele Braga, Stefano Ceri, Emanuele Della Valle, and Michael Grossniklaus. "C-SPARQL." In the 18th international conference. ACM Press, 2009. http://dx.doi.org/10.1145/1526709.1526856.

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Sakr, Sherif, Sameh Elnikety, and Yuxiong He. "G-SPARQL." In the 21st ACM international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2396806.

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Makris, Konstantinos, Nikos Bikakis, Nektarios Gioldasis, and Stavros Christodoulakis. "SPARQL-RW." In the 15th International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2247596.2247678.

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Krommyda, Maria, and Verena Kantere. "SPARQL-vision." In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management. ACM, 2021. http://dx.doi.org/10.1145/3459637.3481997.

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Meehan, Alan, Rob Brennan, and Declan O'Sullivan. "SPARQL based mapping management." In 2015 IEEE International Conference on Semantic Computing (ICSC). IEEE, 2015. http://dx.doi.org/10.1109/icosc.2015.7050851.

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Chen, Jiaqi, Fan Zhang, and Lei Zou. "SPARQL Multi-Query Optimization." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. http://dx.doi.org/10.1109/trustcom/bigdatase.2018.00197.

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Reports on the topic "SPARQL"

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Hobona, Gobe, and Roger Brackin, eds. Testbed-12 Catalogue and SPARQL Engineering Report. Open Geospatial Consortium, Inc., 2017. http://dx.doi.org/10.62973/16-062.

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Hong, Seokyong, Sangkeun Lee, Seung Hwan Lim, Sreenivas R. Sukumar, and Ranga Raju Vatsavai. Query optimization for graph analytics on linked data using SPARQL. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1215587.

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Mattis, Richard L. SPARCOL:. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4426.

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Ramirez, Ignacio, and Guillermo Sapiro. Universal Sparse Modeling. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada520463.

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Lee, Sokbae (Simon), and Le-Yu Chen. Sparse Quantile Regression. The IFS, 2020. http://dx.doi.org/10.1920/wp.cem.2020.3020.

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Bernard, Andrew, and Yuan Zi. Sparse Production Networks. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30496.

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Adcock, Ben, Anyi Bao, John Davis Jakeman, and Akil Naryan. Compressed sensing with sparse corruptions: Fault-tolerant sparse collocation approximations. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1434573.

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Sprechmann, Pablo, Ignacio Ramirez, Guillermo Sapiro, and Yonina Eldar. Collaborative Hierarchical Sparse Modeling. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada519655.

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Ahrens, David L., Daniel B. Olsen, and Azer P. Yalin. GRI-05-0138 Development of an Open Path Laser Ignition System for a Large Bore Natural. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011965.

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Using a laser, as opposed to a conventional (electrical) spark plug, to create combustion initiating spark is potentially advantageous for several reasons: flexibility in choosing and optimizing the spark location, in particular, to move the spark away from solid heat sinks; production of a more robust spark containing more energy; and obviation of electrode erosion problems. These advantages may lead to an extension of the lean limit, an increase in engine thermal efficiency, and the concomitant benefits of reduced pollutant emissions. Presented in this paper is the design and implementation
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Deveci, Mehmet, Christian Robert Trott, and Sivasankaran Rajamanickam. Multi-threaded Sparse Matrix Sparse Matrix Multiplication for Many-Core and GPU Architectures. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1417260.

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