Relevant bibliographies by topics / SPARQL query transformation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'SPARQL query transformation'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "SPARQL query transformation"

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Wei, Bingyang, and Jing Sun. "Leveraging SPARQL Queries for UML Consistency Checking." International Journal of Software Engineering and Knowledge Engineering 31, no. 04 (2021): 635–54. http://dx.doi.org/10.1142/s0218194021500170.

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Context and motivation: Multiple-viewed requirements modeling method describes the system to-be from different perspectives. Some requirements models are then specified in various UML diagrams. Question/problem: Managing those models can be tedious and error-prone, since a lot of CASE tools provide poor support for reasoning and consistency checking. Principal ideas/results: Ontology is a formal notation for describing concepts and their relations in a domain. Since software requirements are a kind of knowledge, we propose to adopt a knowledge engineering approach for managing the consistency
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Cooray, Thilini, and 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, no. 1 (2016): 12. http://dx.doi.org/10.4038/icter.v9i1.7168.

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Qi, Jiexing, Chang Su, Zhixin Guo, et al. "Enhancing SPARQL Query Generation for Knowledge Base Question Answering Systems by Learning to Correct Triplets." Applied Sciences 14, no. 4 (2024): 1521. http://dx.doi.org/10.3390/app14041521.

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Generating SPARQL queries from natural language questions is challenging in Knowledge Base Question Answering (KBQA) systems. The current state-of-the-art models heavily rely on fine-tuning pretrained models such as T5. However, these methods still encounter critical issues such as triple-flip errors (e.g., (subject, relation, object) is predicted as (object, relation, subject)). To address this limitation, we introduce TSET (Triplet Structure Enhanced T5), a model with a novel pretraining stage positioned between the initial T5 pretraining and the fine-tuning for the Text-to-SPARQL task. In t
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GEORGIEVA-TRIFONOVA, Tsvetanka, and Miroslav GALABOV. "Transforming 3D Models to Semantic Web Representation." Romanian Journal of Information Science and Technology 2023, no. 1 (2023): 33–48. http://dx.doi.org/10.59277/romjist.2023.1.03.

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"The purpose of the present paper is to research a rule-based approach for transforming X3D (eXtensible 3D) models to RDF (Resource Description Framework). The transformation is performed by using the RDF Mapping Language (RML). Its advantages are summarized, which are mainly due to the fact that the rules created build a knowledge base. By applying SPARQL (SPARQL Protocol and RDF Query Language) queries to it, the possibility of explore in order to validate and improve the defined RML rules themselves, is pointed out. An approach for reversing from the RDF triples to the original X3D in a uni
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Voinov, Artem, and 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, no. 7 (2022): 072014. http://dx.doi.org/10.1088/1742-6596/2373/7/072014.

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Abstract The paper studies the performance of various languages used to work with ontological models. The languages are used in the methodology for modifying and verifying the 3D construction ontology presented in this paper. The methodology consists of three stages: building an ontological model of the assembly system and an ontological model of the desired 3D structure, modifying the original 3D structure model, and verifying the result in order to decide on further actions. The paper considers two groups of languages: query languages and modification languages. SQWRL and SPARQL are analyzed
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Postanogov, I. S., and I. A. Turova. "Platform for Integrating and Testing Tools which Transform Natural Language Queries into SPARQL Queries." Vestnik NSU. Series: Information Technologies 17, no. 2 (2019): 138–52. http://dx.doi.org/10.25205/1818-7900-2019-17-2-138-152.

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In the paper we discuss how to support the process of creating tools which transform natural language (NL) queries into SPARQL queries (hereinafter referred to as a transformation tool). In the introduction, we describe the relevance of the task of understanding natural language queries by information systems, as well as the advantages of using ontologies as a means of representing knowledge for solving this problem. This ontology-based data access approach can be also used in systems which provide natural language interface to databases. Based on the analysis of problems related to the integr
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Natarajan, Senthilselvan, Subramaniyaswamy Vairavasundaram, Yuvaraja Teekaraman, Ramya Kuppusamy, and Arun Radhakrishnan. "Schema-Based Mapping Approach for Data Transformation to Enrich Semantic Web." Wireless Communications and Mobile Computing 2021 (November 10, 2021): 1–15. http://dx.doi.org/10.1155/2021/8567894.

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Modern web wants the data to be in Resource Description Framework (RDF) format, a machine-readable form that is easy to share and reuse data without human intervention. However, most of the information is still available in relational form. The existing conventional methods transform the data from RDB to RDF using instance-level mapping, which has not yielded the expected results because of poor mapping. Hence, in this paper, a novel schema-based RDB-RDF mapping method (relational database to Resource Description Framework) is proposed, which is an improvised version for transforming the relat
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Zhang, Hui, Yingtao Niu, Kun Ding, Shaoqin Kou, and Liu Liu. "Building and Applying Knowledge Graph in Edge Analytics Environment." Journal of Physics: Conference Series 2171, no. 1 (2022): 012014. http://dx.doi.org/10.1088/1742-6596/2171/1/012014.

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Abstract For the scenario of limited hardware resources and restricted software environment in edge computing architecture, the method of building and applying knowledge graph in edge analytics environment is proposed. The main process includes: building knowledge graph in the cloud, storing knowledge base with RDF format at the edge through customization and transformation, and performing query and analytics at the edge with SPARQL graph search language. The method is simulated in a communication anti-jamming test environment, and the results show that the relevant technical solutions can bet
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A. G. Hazber, Mohamed, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu, and Yuhua Li. "An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology." Journal of Software 13, no. 11 (2018): 573–99. http://dx.doi.org/10.17706/jsw.13.11.573-599.

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Su-Cheng, Haw, Chew Lit-Jie, Sulistyo Kusumo Dana, Naveen Palanichamy, and Ng Kok-Why. "Mapping of extensible markup language-to-ontology representation for effective data integration." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 432–42. https://doi.org/10.11591/ijai.v12.i1.pp432-442.

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Extensible markup language (XML) is well-known as the standard for data exchange over the internet. It is flexible and has high expressibility to express the relationship between the data stored. Yet, the structural complexity and the semantic relationships are not well expressed. On the other hand, ontology models the structural, semantic and domain knowledge effectively. By combining ontology with visualization effect, one will be able to have a closer view based on respective user requirements. In this paper, we propose several mapping rules for the transformation of XML into ontology repre
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Dissertations / Theses on the topic "SPARQL query transformation"

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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.

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De nombreux travaux historiques s'intéressent à la vie et à l'œuvre d'Henri Poincaré (1854-1912), notamment par l'étude et la publication du corpus de sa correspondance, qui se compose d'environ 2000 lettres et qui comprend des échanges relevant du cadre académique, privé ou scientifique. Depuis plusieurs années, des travaux numériques se sont développés pour stocker, publier et exploiter les données de ce corpus par la mise en œuvre de standards et de technologies du Web sémantique, en particulier RDF RDFS et SPARQL. Lors de l'interrogation d'un graphe RDF plusieurs situations peuvent mener à
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Book chapters on the topic "SPARQL query transformation"

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Soussi, Nassima, and Mohamed Bahaj. "Advanced SQL-to-SPARQL Query Transformation Approach." In Lecture Notes in Networks and Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69137-4_33.

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Jain, Prateek, Peter Z. Yeh, Kunal Verma, Cory A. Henson, and Amit P. Sheth. "SPARQL Query Re-writing Using Partonomy Based Transformation Rules." In GeoSpatial Semantics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10436-7_9.

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Bruneau, Olivier, Emmanuelle Gaillard, Nicolas Lasolle, Jean Lieber, Emmanuel Nauer, and Justine Reynaud. "A SPARQL Query Transformation Rule Language — Application to Retrieval and Adaptation in Case-Based Reasoning." In Case-Based Reasoning Research and Development. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61030-6_6.

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Dibowski, Henrik. "Full Traceability and Provenance for Knowledge Graphs." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241309.

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Knowledge graphs (KGs) continue spreading into industrial use cases due to their advantages and superiority over classical data representations. A problem that has not yet adequately been solved for KGs is the traceability and provenance of changes, which can be required in an enterprise or by regulations. KGs typically contain the current snapshot of data valid at a certain moment in time only. Changes over time are usually not recorded and no change history exists. The lack of suitable and scalable traceability solutions hinders the wider application of KGs. This paper presents a traceabilit
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Daga, Enrico, Luigi Asprino, Paul Mulholland, and 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.

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The Semantic Web research community understood since its beginning how crucial it is to equip practitioners with methods to transform non-RDF resources into RDF. Proposals focus on either engineering content transformations or accessing non-RDF resources with SPARQL. Existing solutions require users to learn specific mapping languages (e.g. RML), to know how to query and manipulate a variety of source formats (e.g. XPATH, JSON-Path), or to combine multiple languages (e.g. SPARQL Generate). In this paper, we explore an alternative solution and contribute a general-purpose meta-model for convert
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Pal, Kamalendu. "Integrating Heterogeneous Enterprise Data Using Ontology in Supply Chain Management." In Big Data and Knowledge Sharing in Virtual Organizations. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7519-1.ch003.

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Many industries prefer worldwide business operations due to the economic advantage of globalization on product design and development. These industries increasingly operate globalized multi-tier supply chains and deliver products and services all over the world. This global approach produces huge amounts of heterogeneous data residing at various business operations, and the integration of these data plays an important role. Integrating data from multiple heterogeneous sources need to deal with different data models, database schema, and query languages. This chapter presents a semantic web tec
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