Letteratura scientifica selezionata sul tema "SPARQL query transformation"
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Articoli di riviste sul tema "SPARQL query transformation":
Wei, Bingyang, e Jing Sun. "Leveraging SPARQL Queries for UML Consistency Checking". International Journal of Software Engineering and Knowledge Engineering 31, n. 04 (aprile 2021): 635–54. http://dx.doi.org/10.1142/s0218194021500170.
Cooray, Thilini, e 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, n. 1 (13 luglio 2016): 12. http://dx.doi.org/10.4038/icter.v9i1.7168.
Qi, Jiexing, Chang Su, Zhixin Guo, Lyuwen Wu, Zanwei Shen, Luoyi Fu, Xinbing Wang e Chenghu Zhou. "Enhancing SPARQL Query Generation for Knowledge Base Question Answering Systems by Learning to Correct Triplets". Applied Sciences 14, n. 4 (14 febbraio 2024): 1521. http://dx.doi.org/10.3390/app14041521.
GEORGIEVA-TRIFONOVA, Tsvetanka, e Miroslav GALABOV. "Transforming 3D Models to Semantic Web Representation". Romanian Journal of Information Science and Technology 2023, n. 1 (24 marzo 2023): 33–48. http://dx.doi.org/10.59277/romjist.2023.1.03.
Voinov, Artem, e 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, n. 7 (1 dicembre 2022): 072014. http://dx.doi.org/10.1088/1742-6596/2373/7/072014.
Postanogov, I. S., e I. A. Turova. "Platform for Integrating and Testing Tools which Transform Natural Language Queries into SPARQL Queries". Vestnik NSU. Series: Information Technologies 17, n. 2 (2019): 138–52. http://dx.doi.org/10.25205/1818-7900-2019-17-2-138-152.
Natarajan, Senthilselvan, Subramaniyaswamy Vairavasundaram, Yuvaraja Teekaraman, Ramya Kuppusamy e Arun Radhakrishnan. "Schema-Based Mapping Approach for Data Transformation to Enrich Semantic Web". Wireless Communications and Mobile Computing 2021 (10 novembre 2021): 1–15. http://dx.doi.org/10.1155/2021/8567894.
Zhang, Hui, Yingtao Niu, Kun Ding, Shaoqin Kou e Liu Liu. "Building and Applying Knowledge Graph in Edge Analytics Environment". Journal of Physics: Conference Series 2171, n. 1 (1 gennaio 2022): 012014. http://dx.doi.org/10.1088/1742-6596/2171/1/012014.
A. G. Hazber, Mohamed, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu e Yuhua Li. "An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology". Journal of Software 13, n. 11 (2018): 573–99. http://dx.doi.org/10.17706/jsw.13.11.573-599.
Haw, Su-Cheng, Lit-Jie Chew, Dana Sulistyo Kusumo, Palanichamy Naveen e Kok-Why Ng. "Mapping of extensible markup language-to-ontology representation for effective data integration". IAES International Journal of Artificial Intelligence (IJ-AI) 12, n. 1 (1 marzo 2023): 432. http://dx.doi.org/10.11591/ijai.v12.i1.pp432-442.
Tesi sul tema "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.
Numerous 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
Capitoli di libri sul tema "SPARQL query transformation":
Soussi, Nassima, e 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.
Jain, Prateek, Peter Z. Yeh, Kunal Verma, Cory A. Henson e 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.
Bruneau, Olivier, Emmanuelle Gaillard, Nicolas Lasolle, Jean Lieber, Emmanuel Nauer e 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.
Daga, Enrico, Luigi Asprino, Paul Mulholland e 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.
Pal, 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.