Academic literature on the topic 'Relational database metadata'

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Journal articles on the topic "Relational database metadata"

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Trivedi, Devanshu, Pavol Zavarsky, and Sergey Butakov. "Enhancing Relational Database Security by Metadata Segregation." Procedia Computer Science 94 (2016): 453–58. http://dx.doi.org/10.1016/j.procs.2016.08.070.

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Fong, Joseph, Ringo Pang, Anthony Fong, Francis Pang, and Kenny Poon. "Concurrent Data Materialization for Object-Relational Database with Semantic Metadata." International Journal of Software Engineering and Knowledge Engineering 13, no. 03 (2003): 257–91. http://dx.doi.org/10.1142/s0218194003001287.

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For a company with many databases in different data models, it is necessary to consolidate them into one data model interchangeable and present data in one data model concurrently to users. The benefit is to let user stick to his/her own data model to access database in another data model. This paper presents a semantic metadata to preserve database constraints for data materialization to support user's view of database on an ad hoc base. The semantic metadata can store the captured semantics of a relational or an object-oriented database into classes and stored procedures triggered by events.
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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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FONG, JOSEPH, HERBERT SHIU, and YIN FEI YEUNG. "CONCURRENT DATA MATERIALIZATION FOR XML-ENABLED DATABASE WITH SEMANTIC METADATA." International Journal of Software Engineering and Knowledge Engineering 20, no. 03 (2010): 377–422. http://dx.doi.org/10.1142/s0218194010004748.

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For a company with many databases in different data models, it is necessary to consolidate them into one interchangeable data model and present data in more than one data model concurrently to different users or individual users who need to access the data in more than one data model. The benefit is to let the user stick to his/her own data model to access database in another data model. This paper presents a semantic metadata to preserve database constraints for data materialization to support the user's view of database on an ad hoc basis. The semantic metadata can store the captured semanti
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Gwon, Eun-Jeong, and Hwan-Seung Yong. "Design and Implementation of XML Based Relational Database Metadata Repository." KIPS Transactions:PartD 9D, no. 1 (2002): 1–10. http://dx.doi.org/10.3745/kipstd.2002.9d.1.001.

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Zeldenrust, Douwe A., Nina A. Wijsbek, and Menzo A. Windhouwer. "Data van Dagboeken." Research Data Journal for the Humanities and Social Sciences 2, no. 1 (2017): 41–47. http://dx.doi.org/10.1163/24523666-01000008.

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Since 2014, the Nederlands Dagboekarchief (Dutch Diary Archive) is a part of the Meertens Institute. In the dans-financed project ‘Data from Diaries’ (2016), the paper metadata from the collection of ego documents have been made digitally accessible for researchers in a sustainable way. To this end, the Meertens Institute created a relational database in which the metadata can be stored. The database has been deposited at dans. Additionally, cmdi-metadata have been created, which enable technical and content-level interchange between different European diary archives.
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Cha, Sooyoung, Sukhoon Lee, Dongwon Jeong, and Doo-Kwon Baik. "A Design of Metadata Registry Database based on Object-Relational Transformation Methodology." Journal of KIISE 42, no. 9 (2015): 1147–61. http://dx.doi.org/10.5626/jok.2015.42.9.1147.

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Wang, Shuang, Guoqing Li, Xiaochuang Yao, Yi Zeng, Lushen Pang, and Lianchong Zhang. "A Distributed Storage and Access Approach for Massive Remote Sensing Data in MongoDB." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 533. http://dx.doi.org/10.3390/ijgi8120533.

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With the rapid development of earth-observation technology, the amount of remote sensing data has increased exponentially, and traditional relational databases cannot satisfy the requirements of managing large-scale remote sensing data. To address this problem, this paper undertakes intensive research of the NoSQL (Not Only SQL) data management model, especially the MongoDB database, and proposes a new approach to managing large-scale remote sensing data. Firstly, based on the sharding technology of MongoDB, a distributed cluster architecture was designed and established for massive remote sen
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Yu, Fan, Junping Qiu, and Wen Lou. "Library resources semantization based on resource ontology." Electronic Library 32, no. 3 (2014): 341–62. http://dx.doi.org/10.1108/el-05-2012-0056.

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Purpose – This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO). Design/methodology/approach – The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capabi
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He, Zhao Xia, Geng Liu, Lan Liu, and Bing Han. "Data Management System for Complex Mechanical Product in Collaborative Simulation Environment." Key Engineering Materials 431-432 (March 2010): 196–200. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.196.

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In order to implement collaborative work in enterprises, it is important to exchange and share data during product design process. According to the characteristics and types of simulation data for mechanical properties analysis, an effective data management method is presented. Based on the functional framework of collaborative simulation environment, a new database system has been designed by combining relational database and content repository. The content repository for simulation data has been established and designed by user-defined node type whose model is a simple hierarchy. In this rep
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Dissertations / Theses on the topic "Relational database metadata"

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Harrington, Brian. "A Netcentric Scientific Research Repository." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5611/.

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The Internet and networks in general have become essential tools for disseminating in-formation. Search engines have become the predominant means of finding information on the Web and all other data repositories, including local resources. Domain scientists regularly acquire and analyze images generated by equipment such as microscopes and cameras, resulting in complex image files that need to be managed in a convenient manner. This type of integrated environment has been recently termed a netcentric sci-entific research repository. I developed a number of data manipulation tools that allow re
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Elsheh, Mohammed Mosbah. "Integration of relational database metadata and XML technology to develop an abstract framework to generate automatic and dynamic web entry forms." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3346.

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Developing interactive web application systems requires a large amount of effort on designing database, system logic and user interface. These tasks are expensive and error-prone. Web application systems are accessed and used by many different sets of people with different backgrounds and numerous demands. Meeting these demands requires frequent updating for Web application systems which results in a very high cost process. Thus, many attempts have been made to automate, to some degree, the construction of Web user interfaces. Three main directions have been cited for this purpose. The first d
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Elsheh, Mohammed M. "Integration of relational database metadata and XML technology to develop an abstract framework to generate automatic and dynamic web entry forms." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3346.

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Developing interactive web application systems requires a large amount of effort on designing database, system logic and user interface. These tasks are expensive and error-prone. Web application systems are accessed and used by many different sets of people with different backgrounds and numerous demands. Meeting these demands requires frequent updating for Web application systems which results in a very high cost process. Thus, many attempts have been made to automate, to some degree, the construction of Web user interfaces. Three main directions have been cited for this purpose. The first d
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KOWATA, Elisabete Tomomi. "Metadados de Bancos de Dados Relacionais: Extração e Exposição com o Protocolo OAI-PMH." Universidade Federal de Goiás, 2011. http://repositorio.bc.ufg.br/tede/handle/tde/517.

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Made available in DSpace on 2014-07-29T14:57:50Z (GMT). No. of bitstreams: 1 Dissertacao Elisabete T Kowata.pdf: 2397519 bytes, checksum: df1ed4bd74a16c5e66a0ff4d7f8f9825 (MD5) Previous issue date: 2011-09-11<br>Information about a particular subject can be stored in different repositories such as databases, digital libraries, spreadsheets, text files, web pages etc. In this context of heterogeneous data sources, to query, possibly in natural language, to integrate information and to promote interoperability are tasks that depend, among other factors, on the prior knowledge that an user has
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Books on the topic "Relational database metadata"

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1961-, Shane Darrell, Ram Prasad, and United States. Defense Advanced Research Projects Agency., eds. IID: An intelligent information dictionary for managing semantic metadata. Rand, 1991.

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A, Strasser Carly, ed. Data management for libraries: A LITA guide. ALA TechSource, an imprint of the American Library Association, 2014.

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Ram, Prasad, Stephanie Cammarata, and Darrell Shane. Iid: An Intelligent Information Directory for Managing Semantic Metadata (Rand Publication R-3856-Darpa). Rand Corp, 1991.

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Jockers, Matthew L. Metadata. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0005.

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This chapter presents a first example of how the macroanalytic approach brings new knowledge to our understanding of literary history. It also begins the larger discussion of influence that forms a unifying thread in this book. The evidence presented here is primarily quantitative; it was gathered from a large literary bibliography using ad hoc computational tools. The chapter first takes a look at searchable bibliographies containing a wealth of information in the form of metadata and how, in the absence of full text, this bibliographical metadata can reveal useful information about literary
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Book chapters on the topic "Relational database metadata"

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Merrett, T. H. "Attribute Metadata for Relational OLAP and Data Mining." In Database Programming Languages. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46093-4_6.

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Satyamurty, Ch V. S., J. V. R. Murthy, and M. Raghava. "Metadata-Based Semantic Query in Relational Databases." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7512-4_18.

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Álvarez, Fernando-Luis, Joaquín-L. Gómez-Pantoja, and Elena García-Barriocanal. "From Relational Databases to Linked Data in Epigraphy: Hispania Epigraphica Online." In Metadata and Semantic Research. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24731-6_24.

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Freitas, Ricardo André Pereira, and José Carlos Ramalho. "New Dimension in Relational Database Preservation." In Innovations in XML Applications and Metadata Management. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2669-0.ch009.

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Due to the expansion and growth of information technologies, much of human knowledge is now recorded on digital media. A new problem in the digital universe has arisen: Digital Preservation. This chapter addresses the problems of Digital Preservation and focuses on the conceptual model within a specific class of digital objects: Relational Databases. Previously, a neutral format was adopted to pursue the goal of platform independence and to achieve a standard format in the digital preservation of relational databases, both data and structure (logical model). The authors address the preservation of relational databases by focusing on the conceptual model of the database, considering the database semantics as an important preservation “property.” For the representation of this higher layer of abstraction present in databases, they use an ontology-based approach. At this higher abstraction level exists inherent Knowledge associated to the database semantics that the authors tentatively represent using “Web Ontology Language” (OWL). From the initial prototype, they develop a framework (supported by case studies) and establish a mapping algorithm for the conversion between databases and OWL. The ontology approach is adopted to formalize the knowledge associated to the conceptual model of the database and also a methodology to create an abstract representation of it. The system is based on the functional axes (ingestion, administration, dissemination, and preservation) of the OAIS reference model.
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Katsiouli, Polyxeni, Petros Papapanagiotou, Vassileios Tsetsos, Christos Anagnostopoulos, and Stathes Hadjiefthymiades. "Matching Relational Schemata to Semantic Web Ontologies." In Handbook of Research on Innovations in Database Technologies and Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch047.

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The Semantic Web (SW; Berners-Lee, Hendler, &amp; Lassila, 2001) is already in its implementation phase and an indication of this is the intense research and development activity in the area of SW tools and languages. SW is based on metadata, which describe the semantics of the Web content. SW envisages the enrichment of data with semantics in order to be machine understandable and enable knowledge reasoning. The core element for achieving such Web evolution is ontology: “Ontology is an explicit specification of a conceptualization” (Gruber).
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Mohan, Sriram, and Arijit Sengupta. "Conceptual Modeling for XML." In Database Technologies. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-058-5.ch033.

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The process of conceptual design is independent of the final platform and the medium of implementation, and is usually in a form that is understandable and usable by managers and other personnel who may not be familiar with the low-level implementation details, but have a major influence in the development process. Although a strong design phase is involved in most current application development processes (e.g., Entity Relationship design for relational databases), conceptual design for XML has not been explored significantly in literature or in practice. Most XML design processes start by directly marking up data in XML, and the metadata is typically designed at the time of encoding the documents. In this chapter, the reader is introduced to existing methodologies for modeling XML. A discussion is then presented comparing and contrasting their capabilities and deficiencies, and delineating the future trend in conceptual design for XML applications.
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Simitsis, Alkis, Panos Vassiliadis, and Timos Sellis. "Extraction-Transformation-Loading Processes." In Encyclopedia of Database Technologies and Applications. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-560-3.ch041.

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A data warehouse (DW) is a collection of technologies aimed at enabling the knowledge worker (executive, manager, analyst, etc.) to make better and faster decisions. The architecture of a DW exhibits various layers of data in which data from one layer are derived from data of the lower layer (see Figure 1). The operational databases, also called data sources, form the starting layer. They may consist of structured data stored in open database and legacy systems, or even in files. The central layer of the architecture is the global DW. The global DW keeps a historical record of data that result from the transformation, integration, and aggregation of detailed data found in the data sources. An auxiliary area of volatile data, data staging area (DSA) is employed for the purpose of data transformation, reconciliation, and cleaning. The next layer of data involves client warehouses, which contain highly aggregated data, directly derived from the global warehouse. There are various kinds of local warehouses, such as data mart or on-line analytical processing (OLAP) databases, which may use relational database systems or specific multidimensional data structures. The whole environment is described in terms of its components, metadata, and processes in a central metadata repository, located at the DW site.
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Schmidt, Carsten Oliver, Johannes Darms, Aliaksandra Shutsko, et al. "Facilitating Study and Item Level Browsing for Clinical and Epidemiological COVID-19 Studies." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210284.

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COVID-19 poses a major challenge to individuals and societies around the world. Yet, it is difficult to obtain a good overview of studies across different medical fields of research such as clinical trials, epidemiology, and public health. Here, we describe a consensus metadata model to facilitate structured searches of COVID-19 studies and resources along with its implementation in three linked complementary web-based platforms. A relational database serves as central study metadata hub that secures compatibilities with common trials registries (e.g. ICTRP and standards like HL7 FHIR, CDISC ODM, and DataCite). The Central Search Hub was developed as a single-page application, the other two components with additional frontends are based on the SEEK platform and MICA, respectively. These platforms have different features concerning cohort browsing, item browsing, and access to documents and other study resources to meet divergent user needs. By this we want to promote transparent and harmonized COVID-19 research.
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Borziak, Kirill, Irena Parvanova, and Joseph Finkelstein. "Introducing a Platform for Integrating and Sharing Stem Cell Research Data." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210186.

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Advancements in regenerative medicine have highlighted the need for increased standardization and sharing of stem cell products to help drive these innovative interventions toward public availability and to increase collaboration in the scientific community. Although numerous attempts and numerous databases have been made to store this data, there is still a lack of a platform that incorporates heterogeneous stem cell information into a harmonized project-based framework. The aim of the platform described in this study, ReMeDy, is to provide an intelligent informatics solution which integrates diverse stem cell product characteristics with study subject and omics information. In the resulting platform, heterogeneous data is validated using predefined ontologies and stored in a relational database. In this initial feasibility study, testing of the ReMeDy functionality was performed using published, publically-available induced pluripotent stem cell projects conducted in in vitro, preclinical and intervention evaluations. It demonstrated the robustness of ReMeDy for storing diverse iPSC data, by seamlessly harmonizing diverse common data elements, and the potential utility of this platform for driving knowledge generation from the aggregation of this shared data. Next steps include increasing the number of curated projects by developing a crowdsourcing framework for data upload and an automated pipeline for metadata abstraction. The database is publically accessible at https://remedy.mssm.edu/.
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Lee, Juhnyoung, Richard Goodwin, and Rama Akkiraju. "Ontology Management for Large-Scale Enterprise Systems." In Web Semantics & Ontology. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-905-2.ch004.

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Semantic markup languages such as RDF (Resource Description Framework) (RDF, 1999) and OWL (Web Ontology Language) (OWL, 2004) are increasingly being used to externalize metadata or ontologies about data, software and services in a declarative form. Such externalized descriptions in ontological format are used for purposes ranging from search and retrieval to information integration and to service composition (RDF Projects, 2004; OWL Tools, 2004). Ontologies could significantly reduce the costs of deploying, integrating, and maintaining enterprise systems. The barrier to more widespread use of ontologies for such applications is the lack of support in the currently available middleware stacks used in enterprise computing. This chapter presents our work on developing an enterprise-scale ontology management system that will provide APIs and query languages, and scalability and performance that enterprise applications demand. We describe the design and implementation of the management system that programmatically supports the ontology needs of enterprise applications in a similar way to a database management system supporting the data needs of applications. In addition, we present a novel approach to representing ontologies in relational database tables to address the scalability and performance issues. The state of the art ontology management systems are either memory-based or use ad-hoc solutions for persisting data, and so provide limited scalability.
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Conference papers on the topic "Relational database metadata"

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Wyss, Catharine, and Dirk Van Gucht. "A relational algebra for data/metadata integration in a federated database system." In the tenth international conference. ACM Press, 2001. http://dx.doi.org/10.1145/502585.502597.

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Savaris, Alexandre, Gabriela Colonetti, Rodrigo De Melo, and Aldo Von Wangenheim. "Relational Databases versus Search Engines: A Performance Comparison for Storing and Querying DICOM Metadata." In XVI Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbcas.2016.9902.

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The Digital Imaging and Communications in Medicine (DICOM) standard adopts files as individual, self-contained repositories for the storage of a mixed of alphanumerical and binary content regarding radiological images. Usually, groups of DICOM files are hierarchically organized in studies and series, physically disposed into filesystem directory trees. Despite its simplicity in storing content, ordinary filesystems do not provide index capabilities allowing searches by content – restricting access by directory names and file names. To surpass such limitation, Picture Archiving and Communicatio
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Cheung, Shun Yan, James J. Lu, and Catharine M. Wyss. "Metadata management and relational databases." In the 43rd annual southeast regional conference. ACM Press, 2005. http://dx.doi.org/10.1145/1167350.1167418.

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Gu, Jiajun, and Hiroyuki Kitagawa. "Extending Keyword Search to Metadata on Relational Databases." In 2008 International Workshop on Information-Explosion and Next Generation Search (INGS). IEEE, 2008. http://dx.doi.org/10.1109/ings.2008.14.

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Zhang, Lei, and Xiaoying Yang. "An Approach to Semantic Annotation for Metadata in Relational Databases." In 2008 International Symposiums on Information Processing - ISIP 2008; 2008 International Pacific Workshop on Web Mining and Web-Based Application - WMWA 2008. IEEE, 2008. http://dx.doi.org/10.1109/isip.2008.71.

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Saelee, Jarunee, and Veera Boonjing. "A Metadata Search Approach to Keyword Search in Relational Databases." In 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.70.

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Saelee, Jarunee, and Veera Boonjing. "A Metadata Search Approach with Branch and Bound Algorithm to Keyword Query in Relational Databases." In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.145.

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