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Journal articles on the topic 'SPARQL query transformation'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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

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<span lang="EN-US">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 o

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12

Pirró, Giuseppe. "REWOrD: Semantic Relatedness in the Web of Data." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 129–35. http://dx.doi.org/10.1609/aaai.v26i1.8107.

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This paper presents REWOrD, an approach to compute semantic relatedness between entities in the Web of Data representing real word concepts. REWOrD exploits the graph nature of RDF data and the SPARQL query language to access this data. Through simple queries, REWOrD constructs weighted vectors keeping the informativeness of RDF predicates used to make statements about the entities being compared. The most informative path is also considered to further refine informativeness. Relatedness is then computed by the cosine of the weighted vectors. Differently from previous approaches based on Wikip

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13

Hor, A. H., and G. Sohn. "DESIGN AND EVALUATION OF A BIM-GIS INTEGRATED INFORMATION MODEL USING RDF GRAPH DATABASE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W2-2021 (October 7, 2021): 175–82. http://dx.doi.org/10.5194/isprs-annals-viii-4-w2-2021-175-2021.

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Abstract. The semantic integration modeling of BIM industry foundations classes and GIS City-geographic markup language are a milestone for many applications that involve both domains of knowledge. In this paper, we propose a system design architecture, and implementation of Extraction, Transformation and Loading (ETL) workflows of BIM and GIS model into RDF graph database model, these workflows were created from functional components and ontological frameworks supporting RDF SPARQL and graph databases Cypher query languages. This paper is about full understanding of whether RDF graph database

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14

Sachs, Joel, Jocelyn Pender, Beatriz Lujan-Toro, James Macklin, Peter Haase, and Robin Malik. "Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada." Biodiversity Information Science and Standards 3 (August 8, 2019): e38627. https://doi.org/10.3897/biss.3.38627.

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We are using Wikidata and Metaphactory to build an Integrated Flora of Canada (IFC). IFC will be integrated in two senses: First, it will draw on multiple existing flora (e.g. Flora of North America, Flora of Manitoba, etc.) for content. Second, it will be a portal to related resources such as annotations, specimens, literature, and sequence data. Background We had success using Semantic Media Wiki (SMW) as the platform for an on-line representation of the Flora of North America (FNA). We used Charaparser (Cui 2012) to extract plant structures (e.g. "stem"), characters (e.g. "external texture"

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15

Ceballos, Oscar, Carlos Alberto Ramírez Restrepo, María Constanza Pabón, Andres M. Castillo, and Oscar Corcho. "SPARQL2Flink: Evaluation of SPARQL Queries on Apache Flink." Applied Sciences 11, no. 15 (2021): 7033. http://dx.doi.org/10.3390/app11157033.

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Existing SPARQL query engines and triple stores are continuously improved to handle more massive datasets. Several approaches have been developed in this context proposing the storage and querying of RDF data in a distributed fashion, mainly using the MapReduce Programming Model and Hadoop-based ecosystems. New trends in Big Data technologies have also emerged (e.g., Apache Spark, Apache Flink); they use distributed in-memory processing and promise to deliver higher data processing performance. In this paper, we present a formal interpretation of some PACT transformations implemented in the Ap

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16

Papadaki, Maria-Evangelia, Nicolas Spyratos, and Yannis Tzitzikas. "Towards Interactive Analytics over RDF Graphs." Algorithms 14, no. 2 (2021): 34. http://dx.doi.org/10.3390/a14020034.

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The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data based on a high-level functional query language, called HIFUN. According to that language, each analytical query is considered to be a well-formed expression of a functional alg

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17

Babalou, Samira, Costa David Schellenberger, Helge Bruelheide, et al. "iKNOW: A platform for knowledge graph construction for biodiversity." Biodiversity Information Science and Standards 6 (August 23, 2022): e93867. https://doi.org/10.3897/biss.6.93867.

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Nowadays, more and more biodiversity datasets containing observational and experimental data are collected and produced by different projects. In order to answer the fundamental questions of biodiversity research, these data need to be integrated for joint analyses. However, to date, too often, these data remain isolated in silos.Both in academia and industry, Knowledge Graphs (KGs) are widely regarded as a promising approach to overcome issues of data silos and lack of common understanding of data (Fensel and Şimşek 2020). KGs are graph-structured knowledge bases that store factual informatio

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18

Wan, Aezwani Wan Abu Bakar, Man Mustafa, Man Mahadi, and Abdullah Zailani. "i-Eclat: performance enhancement of Eclat via incremental approach in frequent itemset mining." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 1 (2020): 562–70. https://doi.org/10.12928/TELKOMNIKA.v18i1.13497.

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One example of the state-of-the-art vertical rule mining technique is called equivalence class transformation (Eclat) algorithm. Neither horizontal nor vertical data format, both are still suffering from the huge memory consumption. In response to the promising results of mining in a higher volume of data from a vertical format, and taking consideration of dynamic transaction of data in a database, the research proposes a performance enhancement of Eclat algorithm that relies on incremental approach called an Incremental-Eclat (i-Eclat) algorithm. Motivated from the fast intersection in Eclat,

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19

N., Soussi, and Bahaj M. "A Framework for Semantics Preserving SPARQL-to-SQL Translation." July 1, 2015. https://doi.org/10.5281/zenodo.1108034.

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The enormous amount of information stored on the web increases from one day to the next, exposing the web currently faced with the inevitable difficulties of research pertinent information that users really want. The problem today is not limited to expanding the size of the information highways, but to design a system for intelligent search. The vast majority of this information is stored in relational databases, which in turn represent a backend for managing RDF data of the semantic web. This problem has motivated us to write this paper in order to establish an effective approach to support s

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20

Pirró, Giuseppe. "REWOrD: Semantic Relatedness in the Web of Data." June 1, 2022. https://doi.org/10.1609/aaai.v26i1.8107.

Full text

Abstract:

This paper presents REWOrD, an approach to compute semantic relatedness between entities in the Web of Data representing real word concepts. REWOrD exploits the graph nature of RDF data and the SPARQL query language to access this data. Through simple queries, REWOrD constructs weighted vectors keeping the informativeness of RDF predicates used to make statements about the entities being compared. The most informative path is also considered to further refine informativeness. Relatedness is then computed by the cosine of the weighted vectors. Differently from previous approaches based on Wikip

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21

Binding, Ceri, Claudio Gnoli, and Douglas Tudhope. "Migrating a complex classification scheme to the semantic web: expressing the Integrative Levels Classification using SKOS RDF." Journal of Documentation ahead-of-print, ahead-of-print (2021). http://dx.doi.org/10.1108/jd-10-2020-0167.

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PurposeThe Integrative Levels Classification (ILC) is a comprehensive “freely faceted” knowledge organization system not previously expressed as SKOS (Simple Knowledge Organization System). This paper reports and reflects on work converting the ILC to SKOS representation.Design/methodology/approachThe design of the ILC representation and the various steps in the conversion to SKOS are described and located within the context of previous work considering the representation of complex classification schemes in SKOS. Various issues and trade-offs emerging from the conversion are discussed. The co

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22

Sachs, Joel, Jocelyn Pender, Beatriz Lujan-Toro, James Macklin, Peter Haase, and Robin Malik. "Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada." Biodiversity Information Science and Standards 3 (August 8, 2019). http://dx.doi.org/10.3897/biss.3.38627.

Full text

Abstract:

We are using Wikidata and Metaphactory to build an Integrated Flora of Canada (IFC). IFC will be integrated in two senses: First, it will draw on multiple existing flora (e.g. Flora of North America, Flora of Manitoba, etc.) for content. Second, it will be a portal to related resources such as annotations, specimens, literature, and sequence data. Background We had success using Semantic Media Wiki (SMW) as the platform for an on-line representation of the Flora of North America (FNA). We used Charaparser (Cui 2012) to extract plant structures (e.g. “stem”), characters (e.g. “external texture”

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23

Bruneau, Olivier, Nicolas Lasolle, Jean Lieber, Emmanuel Nauer, Siyana Pavlova, and Laurent Rollet. "Applying and developing semantic web technologies for exploiting a corpus in history of science: The case study of the Henri Poincaré correspondence." Semantic Web, September 30, 2020, 1–20. http://dx.doi.org/10.3233/sw-200400.

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The Henri Poincaré correspondence is a corpus of letters sent and received by this mathematician. The edition of this correspondence is a long-term project begun during the 1990s. Since 1999, a website is devoted to publish online this correspondence with digitized letters. In 2017, it has been decided to reforge this website using Omeka S. This content management system offers useful services but some user needs have led to the development of an RDFS infrastructure associated to it. Approximate and explained searches are managed thanks to SPARQL query transformations. A prototype for efficien

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24

Babalou, Samira, David Schellenberger Costa, Helge Bruelheide, et al. "iKNOW: A platform for knowledge graph construction for biodiversity." Biodiversity Information Science and Standards 6 (August 23, 2022). http://dx.doi.org/10.3897/biss.6.93867.

Full text

Abstract:

Nowadays, more and more biodiversity datasets containing observational and experimental data are collected and produced by different projects. In order to answer the fundamental questions of biodiversity research, these data need to be integrated for joint analyses. However, to date, too often, these data remain isolated in silos. Both in academia and industry, Knowledge Graphs (KGs) are widely regarded as a promising approach to overcome issues of data silos and lack of common understanding of data (Fensel and Şimşek 2020). KGs are graph-structured knowledge bases that store factual informati

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