Relevant bibliographies by topics / Relational database (RDB)

Contents

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

Academic literature on the topic 'Relational database (RDB)'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Relational database (RDB)"

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Trad, Antoine. "A Relational DataBase based Enterprise Transformation Projects." International Journal of Mathematics and Computers in Simulation 17 (June 14, 2023): 1–11. http://dx.doi.org/10.46300/9102.2023.17.1.

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Enterprise Transformation Projects (ETP) are important for ensuring long-term business sustainability and operational excellence, but these projects are complex to finalize and have a high failure rate. Transformation complexities are related to various concurrent factors like the use of sets of uncoherent commercial tools/products, simplistic gap estimations, status evaluations, needed cross-functional skills, and many others. Therefore, there is a need to implement an In-House Implemented (IHI) methodology and framework to support ETPs. But such IHI solutions take a long time to be implement
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Alotaibi, Obaid, and Eric Pardede. "Transformation of Schema from Relational Database (RDB) to NoSQL Databases." Data 4, no. 4 (2019): 148. http://dx.doi.org/10.3390/data4040148.

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Relational database has been the de-facto database choice in most IT applications. In the last decade there has been increasing demand for applications that have to deal with massive and un-normalized data. To satisfy the demand, there is a big shift to use more relaxed databases in the form of NoSQL databases. Alongside with this shift, there is a need to have a structured methodology to transform existing data in relational database (RDB) to NoSQL database. The transformation from RDB to NoSQL database has become more challenging because there is no current standard on NoSQL database. The ai
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FONG, JOSEPH, and SAN KUEN CHEUNG. "TRANSLATING OODB METHOD TO RDB ROUTINE." International Journal of Software Engineering and Knowledge Engineering 11, no. 03 (2001): 329–55. http://dx.doi.org/10.1142/s0218194001000554.

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A methodology is introduced for translating from methods in an object-oriented database to routines in a relational database. The approach consists of three steps. The first step is to translate method signature to Persistent Stored Modules signature. The second step is to translate method source language to (function/procedure) routine. The process includes Host Language, OSQL's Qualification, Query Translation, Update Transaction Translation, and Objects inside Object. The third step is to translate method invocation to routine invocation. According to this approach, object-oriented database
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Yalova, Kateryna, Mykhailo Babenko, and Andrii Zhuravel. "THE TEMPLATE-BASED METHOD FOR DESIGNING A RELATIONAL DATABASE CONSTRUCTOR." Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 2, no. 45 (2024): 164–74. https://doi.org/10.31319/2519-2884.45.2024.18.

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The concept of using natural language instead of SQL commands laid the foundation for the development of the Natural Language Interface to Database (NLIDB) approach. Despite significant progress and a variety of research and applied developments, the task of developing NLIDB remains an ongoing scientific and practical challenge. Issues such as handling ambiguity, understanding context, and the significant variability in natural language command expression impact the quality of text-to-command conversion, necessitating further exploration of effective solutions and mechanisms. Numerous studies
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Qtaish, Amjad, and Mohammad T. Alshammari. "A Narrative Review of Storing and Querying XML Documents Using Relational Database." Journal of Information & Knowledge Management 18, no. 04 (2019): 1950048. http://dx.doi.org/10.1142/s0219649219500485.

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Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for mana
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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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Alekseev, Konstantin. "Relational database problems." Кибернетика и программирование, no. 2 (February 2020): 7–18. http://dx.doi.org/10.25136/2644-5522.2020.2.34076.

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The relevance of this article lies in the fact that today's databases are the basis of numerous information systems. The information accumulated in them is extremely valuable material, and today database processing methods are widely spread in terms of extracting additional methods, knowledge from them, which are interconnected with generalization and various additional methods of information processing.The object of research in this work is relational databases and DBMS, the subject of research is the features of their use in applied programming.In accordance with the set goal, it is
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Sutejo, Agus, Rahmat Gernowo, and Michael Andreas Purwoadi. "Ontology learning from object-relational mapping metadata and relational database." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 1116. http://dx.doi.org/10.11591/ijeecs.v33.i2.pp1116-1125.

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Ontologies play an important role in representing the semantics of data sources. Building an ontology as a representation of domain knowledge from available data sources is not a simple process, particularly when dealing with relational data, which remains prevalent in existing knowledge systems. In this study, we create an ontology from a relational database using object-relational mapping (ORM) metadata as additional rules for mapping. Our method comprises two main phases: ontology schema construction using ORM metadata and the generation of ontology instances from the relational database. D
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Sutejo, Agus, Rahmat Gernowo, and Michael Andreas Purwoadi. "Ontology learning from object-relational mapping metadata and relational database." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 1116–25. https://doi.org/10.11591/ijeecs.v33.i2.pp1116-1125.

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Ontologies play an important role in representing the semantics of data sources. Building an ontology as a representation of domain knowledge from available data sources is not a simple process, particularly when dealing with relational data, which remains prevalent in existing knowledge systems. In this study, we create an ontology from a relational database using object-relational mapping (ORM) metadata as additional rules for mapping. Our method comprises two main phases: ontology schema construction using ORM metadata and the generation of ontology instances from the relational database. D
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Fong, Joseph, Qing Li, and Shi-Ming Huang. "Universal Data Warehousing Based on a Meta-Data Modeling Approach." International Journal of Cooperative Information Systems 12, no. 03 (2003): 325–63. http://dx.doi.org/10.1142/s0218843003000772.

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Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements base
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Dissertations / Theses on the topic "Relational database (RDB)"

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Picalausa, Francois. "Guarded structural indexes: theory and application to relational RDF databases." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209432.

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Ces dernières années ont vu un regain d’intérêt dans l’utilisation de données semi-structurées, grâce à la standardisation de formats d’échange de données sur le Web tels que XML et RDF. On notera en particulier le Linking Open Data Project qui comptait plus de 31 milliard de triplets RDF à la fin de l’année 2011. XML reste, pour sa part, l’un des formats de données privilégié de nombreuses bases de données de grandes tailles dont Uniprot, Open Government Initiative et Penn Treebank. <p><p>Cet accroissement du volume de données semi-structurées a suscité un intérêt croissant pour le développem
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Lozano, Aparicio Jose Martin. "Data exchange from relational databases to RDF with target shape schemas." Thesis, Lille 1, 2020. http://www.theses.fr/2020LIL1I063.

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Resource Description Framework (RDF) est un modèle de graphe utilisé pour publier des données sur le Web à partir de bases de données relationnelles. Nous étudions l'échange de données depuis des bases de données relationnelles vers des graphes RDF avec des schémas de formes cibles. Essentiellement, échange de données modélise un processus de transformation d'une instance d'un schéma relationnel, appelé schéma source, en un graphe RDF contraint par un schéma cible, selon un ensemble de règles, appelé tuple source-cible générant des dépendances. Le graphe RDF obtenu est appelé une solution. Éta
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Byrne, Kate. "Populating the Semantic Web : combining text and relational databases as RDF graphs." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3781.

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The Semantic Web promises a way of linking distributed information at a granular level by interconnecting compact data items instead of complete HTML pages. New data is gradually being added to the Semantic Web but there is a need to incorporate existing knowledge. This thesis explores ways to convert a coherent body of information from various structured and unstructured formats into the necessary graph form. The transformation work crosses several currently active disciplines, and there are further research questions that can be addressed once the graph has been built. Hybrid databases, such
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Albahli, Saleh Mohammad. "Ontology-based approaches to improve RDF Triple Store." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1456063330.

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Stefanova, Silvia. "Scalable Preservation, Reconstruction, and Querying of Databases in terms of Semantic Web Representations." Doctoral thesis, Uppsala universitet, Avdelningen för datalogi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-199573.

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This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of databases. An approach has been developed for selective scalable long-term archival of relational databases (RDBs) as RDF, implemented in the SAQ (Semantic Archive and Query) system. The archival of user-specified parts of an RDB is specified using an extension of SPARQL, A-SPARQL. SAQ automatically generates an RDF view of the RDB, the RD-view. The result of an archival query is RDF triples stored in: i) a data archive file containing the preser
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Neto, Luis Eufrasio Teixeira. "Uma abordagem para publicaÃÃo de visÃes RDF de dados relacionais." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12676.

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nÃo hÃ<br>A iniciativa Linked Data trouxe novas oportunidades para a construÃÃo da nova geraÃÃo de aplicaÃÃes Web. Entretanto, a utilizaÃÃo das melhores prÃticas estabelecidas por este padrÃo depende de mecanismos que facilitem a transformaÃÃo dos dados armazenados em bancos relacionais em triplas RDF. Recentemente, o grupo de trabalho W3C RDB2RDF propÃs uma linguagem de mapeamento padrÃo, denominada R2RML, para especificar mapeamentos customizados entre esquemas relacionais e vocabulÃrios RDF. No entanto, a geraÃÃo de mapeamentos R2RML nÃo à uma tarefa f
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Teixeira, Neto Luis Eufrasio. "Uma abordagem para publicação de visões RDF de dados relacionais." reponame:Repositório Institucional da UFC, 2014. http://www.repositorio.ufc.br/handle/riufc/12694.

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TEIXEIRA NETO, L. E. Uma abordagem para publicação de visões RDF de dados relacionais. 2014. 97 f. Dissertação (Mestrado em Ciência da Computação) - Centro de Ciências, Universidade Federal do Ceará, Fortaleza, 2014.<br>Submitted by Daniel Eduardo Alencar da Silva (dealencar.silva@gmail.com) on 2015-01-23T19:39:51Z No. of bitstreams: 1 2014_dis_letneto.pdf: 2039098 bytes, checksum: 476ca3810a4d9341414016b0440023ba (MD5)<br>Approved for entry into archive by Nirlange Queiroz(nirlange@gmail.com) on 2015-06-09T14:15:58Z (GMT) No. of bitstreams: 1 2014_dis_letneto.pdf: 2039098 bytes, checksum: 4
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Cilip, Peter. "Rozhraní pro aspektové vyhledávání v indexu Wikipedie." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385913.

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Main aim of this thesis is to study existing systems of faceted search and to design own system based on faceted search in the index of Wikipedia. In this thesis we can meet with existing solutions of faceted search. From mistakes and failures of existing solutions was designed our own system, that is output of this thesis. Designed system is described in way of design and implementation. Product of thesis is application and graphical interface. Application interface can be integrated into existing informational system, where it can be used as multidimensional filter. Graphical interface provi
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Huang, Chih-Yen, and 黃致彥. "A Operation Model of Secure XML-RDB API and Optimal Querying of Encrypted XML Documents Stored in Relational Database." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/19901935255867816873.

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碩士<br>國立花蓮教育大學<br>學習科技研究所<br>97<br>With the prevalence of the Internet, XML（Extensible Markup Language） became the standard of data exchange on the Internet. Due to the usual use of XML documents for the data exchange or data transfer protocol between heterogeneous platforms, how to manage and query XML documents efficiently become the key-point when the storage of XML documents increases. At present, there are two typical ways supported by relational database to store XML documents: shred and native XML. Furthermore, the common use of XML to transmit information on the Internet raises the con
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Chu, D. "Archiving RDF data in relational databases." Thesis, 2012. https://eprints.utas.edu.au/19325/1/whole_ChuDaming2011_thesis.pdf.

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RDF has become the de-facto standard for the representation and exchange of information. It is not only used for representing the context of Linked Open Data and semantic-Web, but also used as to publish structured data in science and business. It is also the driving force behind the increasing research interest in RDF data management. RDF is the data format for publishing liked data, and links between databases are based on database state. Failure to maintain the history of a database may lead to loss of evidence for links. In addition, regarding storage and querying, it is not reasonable to
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Books on the topic "Relational database (RDB)"

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M, Willis John. A guide to SQL programming for Rdb. CBM Books, 1994.

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Hobbs, Lilian. Rdb/VMS: A comprehensive guide. Digital Press, 1991.

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Rdb, a comprehensive guide. 2nd ed. Digital Press, 1995.

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Hobbs, Lilian, and Ian Smith. Rdb: A Comprehensive Guide. Elsevier Science & Technology Books, 1999.

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Sas/Access Software for Relational Databases: Reference, Version 6 (Dec Rdb Chapter. Sas Inst, 1994.

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Kelley, Chuck, and William H. Inmon. RDB - VMS: Developing a Data Warehouse. Wiley & Sons, Incorporated, John, 1993.

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Rdb/VMS, a comprehensive guide. Digital Press, 1991.

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Book chapters on the topic "Relational database (RDB)"

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Alghamdi, Abdullah, Majdi Owda, and Keeley Crockett. "Natural Language Interface to Relational Database (NLI-RDB) Through Object Relational Mapping (ORM)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46562-3_29.

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Yannakoudakis, E. J., and C. P. Cheng. "Relational Database Language (RDL)." In Standard Relational and Network Database Languages. Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-3287-5_2.

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Taki, Sara, Adrien Boiret, Cédric Eichler, and Benjamin Nguyen. "Cohesive Database Neighborhoods for Differential Privacy: Mapping Relational Databases to RDF." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-96-0576-7_18.

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Zeidler, H. Ch. "RDBM — A Relational Database Machine Based on a Dedicated Multiprocessor System." In Database Machines. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82937-6_2.

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Rikacovs, Sergejs, and Janis Barzdins. "Export of Relational Databases to RDF Databases: A Case Study." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16101-8_16.

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Rikacovs, Sergejs. "Export of Relational Databases to RDF Databases by Model Transformations." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24511-4_12.

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MahmoudiNasab, Hooran, and Sherif Sakr. "An Experimental Evaluation of Relational RDF Storage and Querying Techniques." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14589-6_22.

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Wang, Yan, Xiaoyong Du, Jiaheng Lu, and Xiaofang Wang. "FlexTable: Using a Dynamic Relation Model to Store RDF Data." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12026-8_44.

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Rao, Guozheng, Bo Zhao, Xiaowang Zhang, and Zhiyong Feng. "FedQL: A Framework for Federated Queries Processing on RDF Stream and Relational Data." In Database Systems for Advanced Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91455-8_14.

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Iglesias-Molina, Ana, Dylan Van Assche, Julián Arenas-Guerrero, et al. "The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF." In The Semantic Web – ISWC 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47243-5_9.

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AbstractThe Relational to RDF Mapping Language (R2RML) became a W3C Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond relational databases was swiftly explored. As a result, several extensions and new mapping languages were proposed to tackle the limitations that surfaced as R2RML was applied in real-world use cases. Over the years, one of these languages, the RDF Mapping Language (RML), has gathered a large community of contributors, users, and compliant tools. So far, there has been no well-defined set of features for the mapping language, nor was there a consensus-marking ontology. Consequently, it has become challenging for non-experts to fully comprehend and utilize the full range of the language’s capabilities. After three years of work, the W3C Community Group on Knowledge Graph Construction proposes a new specification for RML. This paper presents the new modular RML ontology and the accompanying SHACL shapes that complement the specification. We discuss the motivations and challenges that emerged when extending R2RML, the methodology we followed to design the new ontology while ensuring its backward compatibility with R2RML, and the novel features which increase its expressiveness. The new ontology consolidates the potential of RML, empowers practitioners to define mapping rules for constructing RDF graphs that were previously unattainable, and allows developers to implement systems in adherence with [R2]RML.Resource type: Ontology/License: CC BY 4.0 InternationalDOI: 10.5281/zenodo.7918478/URL: http://w3id.org/rml/portal/
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Conference papers on the topic "Relational database (RDB)"

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Kirchheiner, R., and T. Koch. "Progress in the Application of Knowledge-Based Systems; Linking Rule-Generating Tools with Relational Databases." In CORROSION 1994. NACE International, 1994. https://doi.org/10.5006/c1994-94374.

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Abstract Within the last five years 1988 – 1993 two tools for corrosion data storage and analysis have been developed independently. The data storage named "CORIS" is based on RDB Technologie. The analysing tool is named "RULEARN" and makes use of implemented Al-Programs. The attempt has successfully been made to bridge the gap between hard- and software platforms. An example demonstrates the interaction with materials selection for nitric acid plants.
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Hu, Hui. "Research on Construction of RDF with HBase." In 4th International Conference on Machine Learning and Soft Computing. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130213.

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Resource Description Framework (RDF) is designed as a standard metadata model for data interchange on the Internet. Because of machine comprehensibility, it has been successfully used in many areas, such as the intelligent processing of numerous data. While the generation of RDF with relational database (RDB) receives much attention, little effort has been put into the automatic construction of RDF with HBase due to its flexible data structure. Since more data is stored in HBase, it is necessary to extract useful information from HBase. In this paper, we are devoted to construction of RDF with
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Lee, Jae-Hyun, and Hyo-Won Suh. "OWL-Based Hybrid Product Knowledge Model for Collaborative Engineering Environment." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85574.

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This paper introduces an approach to OWL-based hybrid product knowledge model for collaborative engineering environment. The participants in collaborative engineering want to share and reason product knowledge through internet without any heterogeneity and ambiguity. In this paper, the hybrid product knowledge model is proposed using first-order logic(FOL), relational database(RDB) and web ontology language(OWL) according to a formal ontology. Our knowledge model can be used to develop an integrated knowledge-base which reduces heterogeneity and ambiguity. Firstly, the collaborative engineerin
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Xirouchakis, Paul C. "Constrained Structural Design Databases." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/edm1995-0852.

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Abstract The technology of constrained databases (CDBs) is employed in the design of structural design databases. To illustrate the application of CDBs in structural design, the following example is considered in some detail: the design of a database for combined stiffener-plate sectional properties. A major drawback of relational database technology (RDBs) for engineering applications is that constraints cannot be processed within the data model. Another major drawback of the relational data model for engineering applications is that it only can incorporate attributes with discrete value set
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Shufeng Zhou. "Exposing relational database as RDF." In 2010 2nd International Conference on Industrial and Information Systems (IIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/indusis.2010.5565694.

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Hai-yun Ling and Shu-feng Zhou. "Translating relational databases into RDF." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5568308.

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Huajun Chen, Zhaohui Wu, Heng Wang, and Yuxin Mao. "RDF/RDFS-based Relational Database Integration." In 22nd International Conference on Data Engineering (ICDE'06). IEEE, 2006. http://dx.doi.org/10.1109/icde.2006.127.

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Bytyçi, Eliot, Lule Ahmedi, and Granit Gashi. "RDF Mapper: Easy Conversion of Relational Databases to RDF." In 14th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006925501610165.

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Torres Izquierdo, Yenier, Grettel Monteagudo Garcia, Melissa Lemos, et al. "Keyword Search over the COVID-19 Data." In XXXV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbbd.2020.13642.

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Keyword search is typically associated with information retrieval systems. However, recently, keyword search has been expanded to relational databases and RDF datasets, as an attractive alternative to traditional database access. With this motivation, this paper first introduces a platform for data and knowledge retrieval, called DANKE, concentrating on the keyword search component. It then describes an application that uses DANKE to implement keyword search over two COVID-19 data scenarios.
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Szekely, Anamaria, Anita Hejja, and Robert Andrei Buchmann. "Mapping a Relational Database into a RDF Repository." In 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2011. http://dx.doi.org/10.1109/synasc.2011.49.

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Reports on the topic "Relational database (RDB)"

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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management
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