Auswahl der wissenschaftlichen Literatur zum Thema „SPARQL query transformation“
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Zeitschriftenartikel zum Thema "SPARQL query transformation"
Wei, Bingyang, und Jing Sun. „Leveraging SPARQL Queries for UML Consistency Checking“. International Journal of Software Engineering and Knowledge Engineering 31, Nr. 04 (April 2021): 635–54. http://dx.doi.org/10.1142/s0218194021500170.
Der volle Inhalt der QuelleCooray, Thilini, und Gihan Wikramanayake. „Path index based keywords to SPARQL query transformation for semantic data federations“. International Journal on Advances in ICT for Emerging Regions (ICTer) 9, Nr. 1 (13.07.2016): 12. http://dx.doi.org/10.4038/icter.v9i1.7168.
Der volle Inhalt der QuelleQi, Jiexing, Chang Su, Zhixin Guo, Lyuwen Wu, Zanwei Shen, Luoyi Fu, Xinbing Wang und Chenghu Zhou. „Enhancing SPARQL Query Generation for Knowledge Base Question Answering Systems by Learning to Correct Triplets“. Applied Sciences 14, Nr. 4 (14.02.2024): 1521. http://dx.doi.org/10.3390/app14041521.
Der volle Inhalt der QuelleGEORGIEVA-TRIFONOVA, Tsvetanka, und Miroslav GALABOV. „Transforming 3D Models to Semantic Web Representation“. Romanian Journal of Information Science and Technology 2023, Nr. 1 (24.03.2023): 33–48. http://dx.doi.org/10.59277/romjist.2023.1.03.
Der volle Inhalt der QuelleVoinov, Artem, und Ilya Senokosov. „Analysis of the performance of languages for working with the ontological model of the assembly of 3D-constructions“. Journal of Physics: Conference Series 2373, Nr. 7 (01.12.2022): 072014. http://dx.doi.org/10.1088/1742-6596/2373/7/072014.
Der volle Inhalt der QuellePostanogov, I. S., und I. A. Turova. „Platform for Integrating and Testing Tools which Transform Natural Language Queries into SPARQL Queries“. Vestnik NSU. Series: Information Technologies 17, Nr. 2 (2019): 138–52. http://dx.doi.org/10.25205/1818-7900-2019-17-2-138-152.
Der volle Inhalt der QuelleNatarajan, Senthilselvan, Subramaniyaswamy Vairavasundaram, Yuvaraja Teekaraman, Ramya Kuppusamy und Arun Radhakrishnan. „Schema-Based Mapping Approach for Data Transformation to Enrich Semantic Web“. Wireless Communications and Mobile Computing 2021 (10.11.2021): 1–15. http://dx.doi.org/10.1155/2021/8567894.
Der volle Inhalt der QuelleZhang, Hui, Yingtao Niu, Kun Ding, Shaoqin Kou und Liu Liu. „Building and Applying Knowledge Graph in Edge Analytics Environment“. Journal of Physics: Conference Series 2171, Nr. 1 (01.01.2022): 012014. http://dx.doi.org/10.1088/1742-6596/2171/1/012014.
Der volle Inhalt der QuelleA. G. Hazber, Mohamed, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu und Yuhua Li. „An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology“. Journal of Software 13, Nr. 11 (2018): 573–99. http://dx.doi.org/10.17706/jsw.13.11.573-599.
Der volle Inhalt der QuelleHaw, Su-Cheng, Lit-Jie Chew, Dana Sulistyo Kusumo, Palanichamy Naveen und Kok-Why Ng. „Mapping of extensible markup language-to-ontology representation for effective data integration“. IAES International Journal of Artificial Intelligence (IJ-AI) 12, Nr. 1 (01.03.2023): 432. http://dx.doi.org/10.11591/ijai.v12.i1.pp432-442.
Der volle Inhalt der QuelleDissertationen zum Thema "SPARQL query transformation"
Lasolle, Nicolas. „Un système d'interrogation flexible pour le Web sémantique : application au corpus de la correspondance d'Henri Poincaré“. Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0133.
Der volle Inhalt der QuelleNumerous historical works are devoted to the life and works of Henri Poincaré (1854-1912), in particular through the study and the publication of his correspondence, which consists of about 2000 letters and includes academic, private and scientific exchanges. For several years, digital projects have been carried out to store, publish and exploit corpus data by implementing standards and technologies of the Semantic Web, including RDF, RDFS and SPARQL. When browsing an RDF graph, several situations may lead to a desire of flexible querying. This term describes search methods that go beyond conventional search systems, which are restricted to exact queries and allow limited or no expression of user preferences. The main contribution of this research work is the formalization, study and applications of a flexible query mechanism based on the use of SPARQL query transformation rules. This system allows, from an initial query, an RDF graph and a set of rules, to generate SPARQL queries which can provide alternative results to those initially returned. Some rules are generic, and therefore easily transposable to other graphs, and other rules are domain-dependent. Several tools based on this mechanism have been developed to assist the digital exploitation of the Henri Poincaré correspondence. A system has been implemented to assist the manual editing of RDF data, a task which can sometimes be tedious. This system relies on domain knowledge and the use of case-based reasoning to provide an ordered list of suggestions when editing an RDF triple. The proposed flexible querying system has also been integrated into a navigation tool, which provides an interface for visual exploration of RDF graphs, and which exploits similarities between resources in a graph to generate search filters. These tools exploit knowledge associated with the correspondence corpus which is represented through various transformation rules. Through the use of this mechanism, this work also considers the evolution of research practices in history, and tends to show how such a flexible querying system can contribute to the heuristic method. The methods and tools proposed can be applied to other corpora, in particular in the context of digital humanities projects
Buchteile zum Thema "SPARQL query transformation"
Soussi, Nassima, und Mohamed Bahaj. „Advanced SQL-to-SPARQL Query Transformation Approach“. In Lecture Notes in Networks and Systems, 374–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69137-4_33.
Der volle Inhalt der QuelleJain, Prateek, Peter Z. Yeh, Kunal Verma, Cory A. Henson und Amit P. Sheth. „SPARQL Query Re-writing Using Partonomy Based Transformation Rules“. In GeoSpatial Semantics, 140–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10436-7_9.
Der volle Inhalt der QuelleBruneau, Olivier, Emmanuelle Gaillard, Nicolas Lasolle, Jean Lieber, Emmanuel Nauer und Justine Reynaud. „A SPARQL Query Transformation Rule Language — Application to Retrieval and Adaptation in Case-Based Reasoning“. In Case-Based Reasoning Research and Development, 76–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61030-6_6.
Der volle Inhalt der QuelleDaga, Enrico, Luigi Asprino, Paul Mulholland und Aldo Gangemi. „Facade-X: An Opinionated Approach to SPARQL Anything“. In Studies on the Semantic Web. IOS Press, 2021. http://dx.doi.org/10.3233/ssw210035.
Der volle Inhalt der QuellePal, Kamalendu. „Integrating Heterogeneous Enterprise Data Using Ontology in Supply Chain Management“. In Big Data and Knowledge Sharing in Virtual Organizations, 71–102. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7519-1.ch003.
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