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Journal articles on the topic 'Relational database metadata'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

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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Christina, Mathias, Maxime Chaput, Jean-François Martiné, and Sandrine Auzoux. "ECOFI: a database of sugar and energy cane field trials." Open Data Journal for Agricultural Research 6 (April 23, 2020): 14–18. http://dx.doi.org/10.18174/odjar.v6i0.16322.

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Agroecological studies on sugarcane dealing with genotype by environment by management interactions commonly generate complex datasets. To facilitate the use of these datasets, a relational database, named ECOFI, was designed from the analysis of the content and the structure datasets of multidisciplinary experiments with sugarcane and energy cane. The database described in this paper includes data from 58 trials carried out in 11 countries from 1986 to 2016, including 24 trials in Reunion Islands and 15 in Guadeloupe. Taking into account plots within the trials and crop cycle, it includes 725

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Kemnitz, Joseph W. "DATABASE FOR INDICES OF AGING IN NONHUMAN PRIMATES." Innovation in Aging 3, Supplement_1 (2019): S957. http://dx.doi.org/10.1093/geroni/igz038.3472.

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Abstract The Primate Aging Database (PAD) is a multi-centered, relational database of biological variables in aging, captive monkeys and apes containing approximately one million data points for body weight, blood chemistry and hematology, for male and female subjects over time (https://primatedatabase.org). More than forty species are currently represented, primarily chimpanzees, macaques and common marmosets. Metadata include housing environment, social context and diet. Life history information for each species is also provided. Data in PAD is gathered from various research facilities, sanc

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França Costa, Wilian, Raquel Sousa, Tereza Giannini, Bruno Albertini, and Antonio Saraiva. "New Requirements of Biodiversity Research for Metadata on Models and Sensors on the Internet of Things and Big Data Era." Biodiversity Information Science and Standards 2 (May 17, 2018): e25653. http://dx.doi.org/10.3897/biss.2.25653.

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Important initiatives, such as the Convention on Biological Diversity's (CBD) Aichi targets, the United Nations' 2030 Agenda for Sustainable Development (and its Sustainable Development Goals) highlight the urgent need to stop the continuous and increasing loss of biodiversity. That requires an increase in the knowledge that will allow for sustainable use of natural resources. To accomplish that, detailed studies are needed to evaluate multiple species and regions. These studies demand great effort from professionals, searching for species and/or observing their behavior. In this case, the use

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Alter, George. "Reflections on the Intermediate Data Structure (IDS)." Historical Life Course Studies 10 (March 31, 2021): 71–75. http://dx.doi.org/10.51964/hlcs9570.

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The Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scientists. This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the Chronicle file. I also consider IDS from the perspective of current discussions about sharing data across scientific domains. We can find parallels to IDS in other fields that may le

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van Nieuwkerk, Mascha M., Liselotte Salters, R. M. Helmers, and Ivan Kisjes. "Operatic Productions in the Netherlands, 1886–1995: from Printed Annals to Searchable Performance Data." Research Data Journal for the Humanities and Social Sciences 5, no. 2 (2020): 79–90. http://dx.doi.org/10.1163/24523666-00502007.

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Abstract This data paper accompanies the database Operatic productions in the Netherlands, an open dataset containing details on over five thousand opera productions in the Netherlands between 1885 and 1995 extracted from the Annalen van de Nederlandse Opera-gezelschappen (Annals of the Opera Companies in the Netherlands), which appeared in book form in 1996. These data give an extremely rich account of the performance history of operatic works and the personnel involved in their production. Since the original publication lacks a critical introduction, the authors have attempted to reconstruct

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Selvaraj, Ganesh, Karla Taboada, Eloy Gonzales, and Habib Baluwala. "Content enrichment with expressive document modelling to leverage the understanding of unstructured data." MATEC Web of Conferences 277 (2019): 02003. http://dx.doi.org/10.1051/matecconf/201927702003.

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Most information in an enterprise is in the form of unstructured data which is usually managed using a document database. One of the key challenges is to define a generalized data model for this unstructured data and any information extracted from it using content enrichment algorithms. It is more challenging to incorporate provenance and temporal capabilities to such data models. Semantic databases use ontologies such as PROV-O to represent their provenance information expressively, and relational databases use for example Slowly Changing Dimensions (SCDs) concepts to represent temporal infor

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Toby, Brian H., Yu Huang, Don Dohan, et al. "Management of metadata and automation for mail-in measurements with the APS 11-BM high-throughput, high-resolution synchrotron powder diffractometer." Journal of Applied Crystallography 42, no. 6 (2009): 990–93. http://dx.doi.org/10.1107/s0021889809035717.

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A high-resolution and high-throughput synchrotron powder diffractometer has been automated for use with samples that are mailed in by Advanced Photon Source users. Implementation of a relational database with web interfaces for both outside users and beamline staff, which is integrated into the facility-wide proposal and safety system, allows all aspects of beamline management to be integrated. This system permits users to request kits for mounting samples, to provide sample safety information, to obtain their collected data and to provide usage information upon project completion in a quick a

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Alvez, Carlos, Ernesto Miranda, Graciela Etchart, and Silvia Ruiz. "Efficient Iris Recognition Management in Object-Related Databases." Journal of Computer Science and Technology 18, no. 02 (2018): e12. http://dx.doi.org/10.24215/16666038.18.e12.

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Biometric applications have grown significantly in recent years, particularly iris-based systems. In the present work, an extension of an Object Relational Database Management System for the integral management of a biometric system based on the human iris was presented. Although at present, there are many database extensions for different domains, in no case for biometric applications. The proposed extension includes both the extension of the type system and the definition of domain indexes for performance improvement. The aim of this work is to provide a tool that facilitates the development

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Diepenbroek, Michael, Dieter Fütterer, Hannes Grobe, Heinz Miller, Manfred Reinke, and Rainer Sieger. "PANGAEA information system for glaciological data management." Annals of Glaciology 27 (1998): 655–60. http://dx.doi.org/10.3189/1998aog27-1-655-660.

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Specific parameters determined from continental ice sheet or glacier cores can be used to reconstruct former climate. Tο use this scientific resource effectively, an information system is needed which guarantees consistent long-term data storage and provides easy access. Such a system, to archive any data of paleoclimatic relevance, together with the related metadata, raw data and evaluated paleoclimatic data, is presented. It is based on a relational database and provides standardized import and export routines, easy access with uniform retrieval functions and tools for visualizing the data.

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Van Ackere, Samuel, Jochem Beullens, Wouter Vanneuville, Alain De Wulf, and Philippe De Maeyer. "FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium." Water 11, no. 4 (2019): 711. http://dx.doi.org/10.3390/w11040711.

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Floods can cause damage to transportation and energy infrastructure, disrupt the delivery of services, and take a toll on public health, sometimes even causing significant loss of life. Although scientists widely stress the compelling need for resilience against extreme events under a changing climate, tools for dealing with expected hazards lag behind. Not only does the socio-economic, ecologic and cultural impact of floods need to be considered, but the potential disruption of a society with regard to priority adaptation guidelines, measures, and policy recommendations need to be considered

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Yuferov, Anatoliy G. "Infological models of the ENDF-format nuclear data." Nuclear Energy and Technology 5, no. 1 (2019): 53–59. http://dx.doi.org/10.3897/nucet.5.33984.

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Issues involved in the infologic modeling of the ENDF-format nuclear data libraries for the purpose of converting ENDF files into a relational database have been considered. The transfer to a relational format will make it possible to use standard readily available tools for nuclear data processing which simplify the conversion and operation of this data array. Infological models have been described using formulas of the “Entity (List of Attributes)” type. The proposed infological formulas are based on the physical nature of data and theoretical relations. This eliminates the need for a specia

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Paganoni, Eloisa. "Epigraphic Squeezes: Digitisation, Publication, and Enhancement." Studia Universitatis Babeș-Bolyai Digitalia 65, no. 1 (2020): 5–16. http://dx.doi.org/10.24193/subbdigitalia.2020.1.01.

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"Epigraphic squeezes are a key tool for research and teaching. They also have historical and documentary value. They are reliable copies of inscribed text and become the only evidence that remains if inscriptions are lost or destroyed. This paper describes the Venice Squeeze Project for the preservation and enhancement of epigraphic squeezes in the Department of Humanities at Ca’ Foscari University of Venice. For the initial phase of the project, the Ca’ Foscari University collection of epigraphic squeezes was published in the digital ektypotheke E-stampages. The current phase involves develop

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Guevara, Nancy Edith Ochoa, Javier Augusto Ríos Suarez, and Helio Henry Ramírez Arévalo. "Model for Knowledge Management with the Ontological Approach in Social Networks." KnE Engineering 3, no. 1 (2018): 142. http://dx.doi.org/10.18502/keg.v3i1.1421.

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The article shows the results of the structure of collective knowledge management (CKM), defined from the concept of research management of research groups in the university with the use of a semantic algorithm. The process begins with the creation of a site in the social network facebook with the subject of the investigative management in the university. Through a structure of dimension given by profile, role, category and subcategory making direct connection with a relational database called MySQL. Through the application of metadata and algorithm is expected to obtain the lessons learned fr

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LEE, CHIANG, and MING-CHUAN WU. "A HYPERRELATIONAL APPROACH TO INTEGRATION AND MANIPULATION OF DATA IN MULTIDATABASE SYSTEMS." International Journal of Cooperative Information Systems 05, no. 04 (1996): 395–429. http://dx.doi.org/10.1142/s0218843096000154.

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The issue of interoperability among multiple autonomous databases has attracted a lot of attention from researchers in these years. The past research on this issue can be roughly divided into two main categories: the tightly-integrated approach that integrate databases by building an integrated schema and the loosely-integrated approach that achieves interoperability by using a multidatabase language. Most of the past efforts focused on the issues in the first approach. The problem with the first approach is, however, that it lacks a convenient representation of the integrated schema at the sy

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Chakraborty, Sonali Ashish, and Jyotika Doshi. "Reducing Query Processing Time for Non-Synonymous Materialized Queries With Differed Criteria." International Journal of Natural Computing Research 8, no. 2 (2019): 75–93. http://dx.doi.org/10.4018/ijncr.2019040104.

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Results of OLAP queries for strategic decision making are generated using warehouse data. For frequent queries, processing overhead increases as same results are generated by traversing through huge volume of warehouse data. Authors suggest saving time for frequent queries by storing them in a relational database referred as MQDB, along with its result and metadata information. Incremental updates for synonymous materialized queries are done using data marts. This article focusses on saving processing time for non-synonymous queries with differed criteria. Criteria is the query condition speci

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Fletcher, Madilyn, Jesse Cleary, Jeremy Cothran, and Dwayne Porter. "Southeast Atlantic Coastal Ocean Observation System (SEACOOS) Information Management: Evolution of a Distributed Community System." Marine Technology Society Journal 42, no. 3 (2008): 28–34. http://dx.doi.org/10.4031/002533208786842589.

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The Southeast Atlantic Coastal Ocean Observing System (SEACOOS) established a comprehensive information management (IM) system, comprising a distributed hardware and software applications infrastructure that enabled access to and processing of complex databases from multiple sites. Initial focus was on the development of a set of standards for data transport mechanisms, vocabulary, and metadata. Data were organized in a relational database structure, and new developments addressed identified needs, such as more rapid aggregation and posting of near-real-time data. For presentation of data, map

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Chakraborty, Sonali Ashish, and Jyotika Doshi. "An Approach for Retrieving Faster Query Results From Data Warehouse Using Synonymous Materialized Queries." International Journal of Data Warehousing and Mining 17, no. 2 (2021): 85–105. http://dx.doi.org/10.4018/ijdwm.2021040105.

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The enterprise data warehouse stores an enormous amount of data collected from multiple sources for analytical processing and strategic decision making. The analytical processing is done using online analytical processing (OLAP) queries where the performance in terms of result retrieval time is an important factor. The major existing approaches for retrieving results from a data warehouse are multidimensional data cubes and materialized views that incur more storage, processing, and maintenance costs. The present study strives to achieve a simpler and faster query result retrieval approach fro

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Brandt, C. A., and P. M. Nadkarni. "The Common Data Elements for Cancer Research: Remarks on Functions and Structure." Methods of Information in Medicine 45, no. 06 (2006): 594–601. http://dx.doi.org/10.1055/s-0038-1634121.

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Summary Objectives: The National Cancer Institute (NCI) has developed the Common Data Elements (CDE) to serve as a controlled vocabulary of data descriptors for cancer research, to facilitate data interchange and inter-oper-ability between cancer research centers. We evaluated CDE’s structure to see whether it could represent the elements necessary to support its intended purpose, and whether it could prevent errors and inconsistencies from being accidentally introduced. We also performed automated checks for certain types of content errors that provided a rough measure of curation quality. Me

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Reyer, Christopher P. O., Ramiro Silveyra Gonzalez, Klara Dolos, et al. "The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests." Earth System Science Data 12, no. 2 (2020): 1295–320. http://dx.doi.org/10.5194/essd-12-1295-2020.

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Abstract. Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, toget

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Di Iorio, Angela, and Marco Schaerf. "Expressing the Tacit Knowledge of a Digital Library System as Linked Data." Computers 8, no. 2 (2019): 49. http://dx.doi.org/10.3390/computers8020049.

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Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the “tacit” knowledge of the information system that manages the data source. The objective is the improvement of the interpretation

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Park, Ziyoung, Hosin Lee, Seungchon Kim, and Sungjae Park. "Improving Archival Records and Service of Traditional Korean Performing Arts in a Semantic Web Environment." Journal of Data and Information Science 5, no. 1 (2020): 68–80. http://dx.doi.org/10.2478/jdis-2020-0006.

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AbstractPurposeThis research project aims to organize the archival information of traditional Korean performing arts in a semantic web environment. Key requirements, which the archival records manager should consider for publishing and distribution of gugak performing archival information in a semantic web environment, are presented in the perspective of linked data.Design/methodology/approachThis study analyzes the metadata provided by the National Gugak Center’s Gugak Archive, the search and browse menus of Gugak Archive’s website and K-PAAN, the performing arts portal site.FindingsThe impor

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Molinari, Sergio, Robert Butora, Stefano Cavuoti, et al. "Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case." Proceedings of the International Astronomical Union 12, S325 (2016): 291–98. http://dx.doi.org/10.1017/s1743921317000163.

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AbstractThe VIALACTEA project brings to a common forum the major new-generation surveys of the Milky Way Galactic Plane from 1μm to the radio, both in thermal continuum and in atomic and molecular lines, to attack in a systematic way the characterization of the Milky Way as a star formation engine. Images, catalogues, spectroscopic datacubes and radiative transfer models of the Spectral Energy Distributions (SEDs) of sites of star formation have been incorporated and indexed in the VIALACTEA Knowledge Base (VLKB). The VLKB consists of a combination of a relational database where the VIALACTEA

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Teitsma, Marten, Vasco Chibante Barosso, Pascal Boeschoten, and Patrick Hendriks. "Jiskefet, a bookkeeping application for ALICE." EPJ Web of Conferences 245 (2020): 04023. http://dx.doi.org/10.1051/epjconf/202024504023.

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A new bookkeeping system called Jiskefet is being developed for A Large Ion Collider Experiment (ALICE) during Long Shutdown 2, to be in production until the end of LHC Run 4 (2029). Jiskefet unifies two functionalities: a) gathering, storing and presenting metadata associated with the operations of the ALICE experiment and b) tracking the asynchronous processing of the physics data. It will replace the existing ALICE Electronic Logbook and AliMonitor, allowing for a technology refresh and the inclusion of new features based on the experience collected during Run 1 and Run 2. The front end lev

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Cowan, James D., David L. Rimm, and David P. Tuck. "Cruella: Developing a Scalable Tissue Microarray Data Management System." Archives of Pathology & Laboratory Medicine 130, no. 6 (2006): 817–22. http://dx.doi.org/10.5858/2006-130-817-cdastm.

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Abstract Context.—Compared with DNA microarray technology, relatively little information is available concerning the special requirements, design influences, and implementation strategies of data systems for tissue microarray technology. These issues include the requirement to accommodate new and different data elements for each new project as well as the need to interact with pre-existing models for clinical, biological, and specimen-related data. Objective.—To design and implement a flexible, scalable tissue microarray data storage and management system that could accommodate information reg

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Boden, T. A., M. Krassovski, and B. Yang. "The AmeriFlux data activity and data system: an evolving collection of data management techniques, tools, products and services." Geoscientific Instrumentation, Methods and Data Systems Discussions 3, no. 1 (2013): 59–85. http://dx.doi.org/10.5194/gid-3-59-2013.

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Abstract. The Carbon Dioxide Information Analysis Center (CDIAC) at Oak Ridge National Laboratory (ORNL), USA has provided scientific data management support for the US Department of Energy and international climate change science since 1982. Among the many data archived and available from CDIAC are collections from long-term measurement projects. One current example is the AmeriFlux measurement network. AmeriFlux provides continuous measurements from forests, grasslands, wetlands, and croplands in North, Central, and South America and offers important insight about carbon cycling in terrestri

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Boden, T. A., M. Krassovski, and B. Yang. "The AmeriFlux data activity and data system: an evolving collection of data management techniques, tools, products and services." Geoscientific Instrumentation, Methods and Data Systems 2, no. 1 (2013): 165–76. http://dx.doi.org/10.5194/gi-2-165-2013.

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Abstract. The Carbon Dioxide Information Analysis Center (CDIAC) at Oak Ridge National Laboratory (ORNL), USA has provided scientific data management support for the US Department of Energy and international climate change science since 1982. Among the many data archived and available from CDIAC are collections from long-term measurement projects. One current example is the AmeriFlux measurement network. AmeriFlux provides continuous measurements from forests, grasslands, wetlands, and croplands in North, Central, and South America and offers important insight about carbon cycling in terrestri

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Sha, Dexuan, Xin Miao, Mengchao Xu, et al. "An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery." Data 5, no. 2 (2020): 39. http://dx.doi.org/10.3390/data5020039.

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Sea ice acts as both an indicator and an amplifier of climate change. High spatial resolution (HSR) imagery is an important data source in Arctic sea ice research for extracting sea ice physical parameters, and calibrating/validating climate models. HSR images are difficult to process and manage due to their large data volume, heterogeneous data sources, and complex spatiotemporal distributions. In this paper, an Arctic Cyberinfrastructure (ArcCI) module is developed that allows a reliable and efficient on-demand image batch processing on the web. For this module, available associated datasets

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Semerhanov, Ilja Aleksandrovich. "AUTOMATED SEMANTIC METADATA EXTRACTION FROM DISTRIBUTED RELATIONAL DATABASES." V mire nauchnykh otkrytiy, no. 2.1 (February 28, 2014): 764. http://dx.doi.org/10.12731/wsd-2014-2.1-22.

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Espinoza Molina, D., and M. Datcu. "Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 627–33. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-627-2015.

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The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools that allow the end-user to access a large image repository, to extract and to infer knowledge about the patterns hidden in the images, to retrieve dynamically a collection of relevant images, and to support the creation of emerging applications (e.g.: change detection, global monitoring, disaster and risk management, image time series, etc.). In this context, we are concerned with providing a platform for data mining and knowledge discovery

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García-Remesal, M., D. de la Iglesia, N. Graf, V. Maojo, and A. Anguita. "Toward a View-oriented Approach for Aligning RDF-based Biomedical Repositories." Methods of Information in Medicine 54, no. 01 (2015): 50–55. http://dx.doi.org/10.3414/me13-02-0020.

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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.Background: The need for complementary access to multiple RDF databases has fostered new lines of research, but also entailed new challenges due to data representation disparities. While several approaches for RDF-based database integration have been proposed, those focused on schema alignment have become the most widely adopted. All state-of-the-art solutions for aligning RDF-based sources resort to a simple technique inherited from

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Rochat, Ryan H., and Gail J. Demmler-Harrison. "758. High-Throughput Mining of Electronic Medical Records Using Generalizable Autonomous Scripts." Open Forum Infectious Diseases 6, Supplement_2 (2019): S338. http://dx.doi.org/10.1093/ofid/ofz360.826.

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Abstract Background The electronic medical record (EMR) has become a modern compendium of health information, from broad clinical assessments down to an individual’s heart rate. The wealth of information in these EMRs hold promise for clinical discovery and hypothesis generation. Unfortunately, as these systems have become more robust, mining them for relevant clinical information is hindered by the overall data architecture, and often requires the expertise of a clinical informatician to extract relevant data. However, as the information presented to the clinician through the digital workspac

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Golosova, M. V., M. A. Grigorieva, A. A. Klimentov, E. A. Ryabinkin, G. Dimitrov, and M. Potekhin. "Studies of Big Data metadata segmentation between relational and non-relational databases." Journal of Physics: Conference Series 664, no. 4 (2015): 042023. http://dx.doi.org/10.1088/1742-6596/664/4/042023.

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Saelee, Jarunee, and Veera Boonjing. "A Metadata Search Approach to Keyword Query in Relational Databases." International Journal of Computer Applications 69, no. 3 (2013): 1–7. http://dx.doi.org/10.5120/11819-7500.

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Fernández Casaní, Álvaro, Dario Barberis, Javier Sánchez, Carlos García Montoro, Santiago González de la Hoz, and Jose Salt. "Distributed Data Collection for the Next Generation ATLAS EventIndex Project." EPJ Web of Conferences 214 (2019): 04010. http://dx.doi.org/10.1051/epjconf/201921404010.

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The ATLAS EventIndex currently runs in production in order to build a complete catalogue of events for experiments with large amounts of data. The current approach is to index all final produced data files at CERN Tier0, and at hundreds of grid sites, with a distributed data collection architecture using Object Stores to temporarily maintain the conveyed information, with references to them sent with a Messaging System. The final backend of all the indexed data is a central Hadoop infrastructure at CERN; an Oracle relational database is used for faster access to a subset of this information. I

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Hewitt, Robin, Alberto Gobbi, and Man-Ling Lee. "A Searching and Reporting System for Relational Databases Using a Graph-Based Metadata Representation." Journal of Chemical Information and Modeling 45, no. 4 (2005): 863–69. http://dx.doi.org/10.1021/ci050062e.

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Wu, Jiang, Du Ni, and Zhi Xiao. "N-Tier Soft Set Data Model: An Approach to Combine the Logicality of SQL and the Flexibility of NoSQL." Mobile Information Systems 2021 (June 25, 2021): 1–23. http://dx.doi.org/10.1155/2021/5567234.

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To process a huge amount of data, computing resources need to be organized in clusters that can be scaled out easily. Still, traditional SQL databases built on the relational data model are difficult to be put to use in such clusters, which has motivated the movement named NoSQL. However, NoSQL databases have their limits by using their own data models. In this paper, the original soft set theory is extended, and a new theory system called n-tier soft set is brought up. We systematically constructed its concepts, definitions, and operations, establishing it as a novel soft set algebra. And som

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Brodský, L., A. Klement, V. Penížek, R. Kodešová, and L. Borůvka. "Building soil spectral library of the Czech soils for quantitative digital soil mapping." Soil and Water Research 6, No. 4 (2011): 165–72. http://dx.doi.org/10.17221/24/2011-swr.

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&nbsp; Spectral libraries are the data archives of spectral signatures measured on natural and/or man-made materials. Here, the objective is to build a soil spectral library of the Czech soils (SSL-CZ). Further on, the overall aim is to apply diffuse reflectance spectroscopy as a tool for digital soil mapping. An inevitable part of the library is a metadata database that stores the corresponding auxiliary information on the soils: type of material (soil, parent material), sample preparation, location of the sample with geographic coordinates, soil classification, morphological features, so

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Varanka, Dalia E. "A Prototype Geospatial Knowledge Graph for National Topographic Mapping." Abstracts of the ICA 2 (October 9, 2020): 1. http://dx.doi.org/10.5194/ica-abs-2-40-2020.

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Abstract. Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non-spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat-file spreadsheets, and r

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IM, DONG-HYUK, SANG-WON LEE, and HYOUNG-JOO KIM. "A VERSION MANAGEMENT FRAMEWORK FOR RDF TRIPLE STORES." International Journal of Software Engineering and Knowledge Engineering 22, no. 01 (2012): 85–106. http://dx.doi.org/10.1142/s0218194012500040.

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RDF is widely used as an ontology language for representing the metadata in Semantic Web, knowledge management system and E-commerce. Since ontologies model the knowledge in a particular domain, they may change over time. Furthermore, ontologies are usually developed and controlled in a distributed and collaborative way. Thus, it is very important to be able to manage multiple versions for RDF data. Earlier studies on RDF versions have focused on providing the accesses to different versions (i.e. snapshots) and computing the differences between those two versions. However, the existing approac

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Moura, Ana Maria de Carvalho, Fabio Porto, Vania Vidal, et al. "A semantic integration approach to publish and retrieve ecological data." International Journal of Web Information Systems 11, no. 1 (2015): 87–119. http://dx.doi.org/10.1108/ijwis-08-2014-0028.

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Purpose – The purpose of this paper is to present a four-level architecture that aims at integrating, publishing and retrieving ecological data making use of linked data (LD). It allows scientists to explore taxonomical, spatial and temporal ecological information, access trophic chain relations between species and complement this information with other data sets published on the Web of data. The development of ecological information repositories is a crucial step to organize and catalog natural reserves. However, they present some challenges regarding their effectiveness to provide a shared a

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