Relevant bibliographies by topics / Database Schema

Contents

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

Academic literature on the topic 'Database Schema'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Database Schema"

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Imam, Abdullahi Abubakar, Shuib Basri, Rohiza Ahmad, et al. "DSP: Schema Design for Non-Relational Applications." Symmetry 12, no. 11 (2020): 1799. http://dx.doi.org/10.3390/sym12111799.

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The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing modeling tools for relational databases are inadequate for this asymmetric setting. As a result, NoSQL modelers rely on rules of thumb to model schemas that require a high level of competence. Several studies have been conducted to address this problem; however, they are either proprietary, symmetrical, relationally dependent or post-design assessment to
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Ndefo, Nonyelum, and Enrico Franconi. "A Study on Information-Preserving Schema Transformations." International Journal of Semantic Computing 14, no. 01 (2020): 27–53. http://dx.doi.org/10.1142/s1793351x20400024.

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The problem of determining the relative information capacity between two knowledge bases or schemas, of the same or different models, is inherent when implementing schema transformations. When restructuring one schema into another, one expects that the schema transformation supports the complete and correct mapping of all the information contents from the source schema to the target schema. Such a characteristic is commonly referred to as information capacity preservation or schema dominance. This paper presents a formal and constructive approach to measure the relative information capacity, i
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PAN, MIIN-JENG, SHI-KUO CHANG, and CHIEN-CHIAO YANG. "A TWO-LEVEL METADATA DICTIONARY APPROACH FOR SEMANTIC QUERY PROCESSING IN MULTIDATABASE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 03, no. 02 (1993): 231–55. http://dx.doi.org/10.1142/s0218194093000112.

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A multidatabase system (MDBS) is a system that integrates several autonomous database systems and provides users with a uniform access to all the databases. In this paper we developed a two-level active metadata dictionary approach for semantic query processing. To capture the global view of data schemas of participating databases which may be heterogeneous, a Hornclause data model is used. The lower-level metadata dictionaries (LLMDs) keep metadata for each corresponding local database in MDBS. The higher-level metadata dictionary (HLMD) integrates the metadata about all LLMDs. The database i
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Angles, Renzo, Angela Bonifati, Stefania Dumbrava, et al. "PG-Schema: Schemas for Property Graphs." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–25. http://dx.doi.org/10.1145/3589778.

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Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO standardization effort aiming at creating a new standard Graph Query Language (GQL). Yet, despite documented demand, schema support is limited both in existing systems and in the first version of the GQL Standard. It is anticipated that the second version of the GQL Standard will include a rich DDL. Aiming to inspire the development of GQL and enhance the capabilities of graph database systems, we propose PG-Schema, a simple yet powerful formalism for specifying
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Curino, Carlo A., Hyun J. Moon, and Carlo Zaniolo. "Graceful database schema evolution." Proceedings of the VLDB Endowment 1, no. 1 (2008): 761–72. http://dx.doi.org/10.14778/1453856.1453939.

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Casanova, Marco A., Karin K. Breitman, Daniela F. Brauner, and André L. A. Marins. "Database Conceptual Schema Matching." Computer 40, no. 10 (2007): 102–4. http://dx.doi.org/10.1109/mc.2007.342.

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Roy-Hubara, Noa, Lior Rokach, Bracha Shapira, and Peretz Shoval. "Modeling Graph Database Schema." IT Professional 19, no. 6 (2017): 34–43. http://dx.doi.org/10.1109/mitp.2017.4241458.

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Chen, Ping-Kuen, and Gwo-Dong Chen. "Making Database Schema Hierarchical for Visual Access to Databases." Knowledge and Information Systems 1, no. 2 (1999): 193–227. http://dx.doi.org/10.1007/bf03325098.

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PETIT, JEAN-MARC, FAROUK TOUMANI, and JACQUES KOULOUMDJIAN. "RELATIONAL DATABASE REVERSE ENGINEERING: A METHOD BASED ON QUERY ANALYSIS." International Journal of Cooperative Information Systems 04, no. 02n03 (1995): 287–316. http://dx.doi.org/10.1142/s0218843095000123.

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This paper introduces a method of reverse engineering for operational relational databases. The conceptual schemas are derived using information extracted from data dictionaries, database extensions and application programs. Its main strength relies on the assumptions made on the a priori knowledge available about the database (only [Formula: see text] and/or [Formula: see text] constraints on attribute(s)) as well as the user competence. We argue that most of the knowledge needed to build a conceptual schema, if not described in the Data Description Language, is embedded in application progra
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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 "Database Schema"

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PHIPPS, CASSANDRA J. "Migrating an Operational Database Schema to Data Warehouse Schemas." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1019667418.

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Hobbs, L. M. "Automatic generation of database schema." Thesis, University of Southampton, 1987. https://eprints.soton.ac.uk/361190/.

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Wheeler, Jared Thomas. "Extracting a Relational Database Schema from a Document Database." UNF Digital Commons, 2017. http://digitalcommons.unf.edu/etd/730.

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As NoSQL databases become increasingly used, more methodologies emerge for migrating from relational databases to NoSQL databases. Meanwhile, there is a lack of methodologies that assist in migration in the opposite direction, from NoSQL to relational. As software is being iterated upon, use cases may change. A system which was originally developed with a NoSQL database may accrue needs which require Atomic, Consistency, Isolation, and Durability (ACID) features that NoSQL systems lack, such as consistency across nodes or consistency across re-used domain objects. Shifting requirements could r
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Li, Xue. "Schema evolution in object-oriented databases." Thesis, Queensland University of Technology, 1997.

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Maule, A. "Impact analysis of database schema changes." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19497/.

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When database schemas require change, it is typical to predict the effects of the change, first to gauge if the change is worth the expense, and second, to determine what must be reconciled once the change has taken place. Current techniques to predict the effects of schema changes upon applications that use the database can be expensive and error-prone, making the change process expensive and difficult. Our thesis is that an automated approach for predicting these effects, known as an impact analysis, can create a more informed schema change process, allowing stakeholders to obtain beneficial
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Benitez, Javier. "Database schema migrationin highly available services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290927.

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Since the rise of DevOps, companies have been trying to provide rapid and agile cycles on the development of new products, reducing time and costs to go from definition to production. However, whenever a MySQL system with a zero-downtime requirement is found, the database deployment cycle is still manual, leaving it less evolved than other parts of the development cycle, especially when applying schema updates without affecting the availability of a MySQL system (Database Online Schema migrations) on Continuous Integration and Continuous Delivery pipelines. As a consequence, it delays the proc
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Jonsson, Peter. "Automated Testing of Database Schema Migrations." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255012.

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Modern applications use databases, and the majority of them are relational databases, which use schemas to impose data integrity constraints. As applications change, so do their databases. Database schemas are changed using migrations. Certain conditions can result in migrations failing in production environments, leading to a broken database state and testing can be problematic without accessing production data which can be sensitive.Two migration validation methods were proposed and implemented to automatically reject invalid migrations that are not compatible with the database state. The me
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Bellström, Peter. "Schema Integration : How to Integrate Static and Dynamic Database Schemata." Doctoral thesis, Karlstads universitet, Avdelningen för informatik och projektledning, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5541.

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Schema integration is the task of integrating several local schemata into one global database schema. It is a complex, error-prone and time consuming task. Problems arise in recognizing and resolving problems, such as differences and similarities, between two schemata. Problems also arise in integrating static and dynamic schemata. In this thesis, three research topics are addressed: Maintaining Vocabulary in Schema Integration, Integration of Static Schemata and Integration of Static and Dynamic Schemata, while applying the notation in the Enterprise Modeling approach. In Maintaining Vocabula
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Tanaka, Mitsuru. "Classifier System Learning of Good Database Schema." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/859.

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This thesis presents an implementation of a learning classifier system which learns good database schema. The system is implemented in Java using the NetBeans development environment, which provides a good control for the GUI components. The system contains four components: a user interface, a rule and message system, an apportionment of credit system, and genetic algorithms. The input of the system is a set of simple database schemas and the objective for the classifier system is to keep the good database schemas which are represented by classifiers. The learning classifier system is given so
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Kutan, Kent. "Transformation of relational schema into static object schema." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02022010-020303/.

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Books on the topic "Database Schema"

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A, Halpin T., and Nijssen G. M, eds. Conceptual schema & relational database design. 2nd ed. Prentice Hall, 1995.

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Halpin, T. A. Conceptual schema and relational database design. 2nd ed. WytLytPub, 1999.

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Rosen, Bruce K. Guide to schema and schema extensibility. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1991.

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Balsters, Herman, Bert de Brock, and Stefan Conrad, eds. Database Schema Evolution and Meta-Modeling. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6.

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(Firm), Quest Software, ed. Schema Manager user guide. Quest Software, 1999.

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A, Halpin T., ed. Conceptual schema and relational database design: A fact oriented approach. Prentice Hall, 1989.

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United States. National Aeronautics and Space Administration., ed. NASA electronic library system (NELS) database schema. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

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Definitive XML schema. Prentice Hall PTR, 2002.

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The complete reference star schema. McGraw-Hill, 2010.

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Uncertain schema matching. Morgan & Claypool, 2011.

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Book chapters on the topic "Database Schema"

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Elmasri, Ramez. "Database Schema." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80735-1.

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Weik, Martin H. "database schema." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4197.

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Elmasri, Ramez. "Database Schema." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80735.

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Raflik, Michel, and Bernd Pätzold. "Database Schema Definition." In CAD*I Database. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84335-8_5.

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Schwichtenberg, Holger. "Database Schema Migrations." In Modern Data Access with Entity Framework Core. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3552-2_7.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_259-2.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_259.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_259.

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Jones, Andrew R. "Relational Database Schema." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1428.

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Roddick, John F. "Schema Evolution." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1532-2.

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Conference papers on the topic "Database Schema"

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Frozza, Angelo Augusto, Eduardo Dias Defreyn, and Ronaldo Dos Santos Mello. "A Process for Inference of Columnar NoSQL Database Schemas." In XXXV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbbd.2020.13637.

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Although NoSQL Databases do not require a schema a priori, to be aware of the database schema is essential for activities like data integration, data validation or data interoperability. This paper presents a process for inference of columnar NoSQL DB schemas. We validate the proposed process through a prototype tool that is able to extract schemas from the HBase columnar NoSQL database system. HBase was chosen as a case study because it is one of the most popular columnar NoSQL solutions. When compared to related work, we novel by proposing a simple solution for the inference of column data t
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"Database Schema Elicitation to Modernize Relational Databases." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003980801260132.

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Burke, John, Jon Ericson, and Ardvas Mousessian. "Distributed database schema." In Optical Engineering + Applications, edited by James J. Butler and Jack Xiong. SPIE, 2007. http://dx.doi.org/10.1117/12.734802.

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Ahmad, Rohiza, Wong Aun Chyi, Aliza Sarlan, and Rozana Kasbon. "Guiding novice database developers in database schema creation." In 2014 IEEE Conference on e-Learning, e-Management and e-Services (IC3e). IEEE, 2014. http://dx.doi.org/10.1109/ic3e.2014.7081243.

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Kozák, Michal, Jakub Stárka, and Irena Mlýnková. "Schematron schema inference." In the 16th International Database Engineering & Applications Sysmposium. ACM Press, 2012. http://dx.doi.org/10.1145/2351476.2351482.

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da Silva, Telmo Henrique Valverde, and Ronaldo dos Santos Mello. "A Rule-based Conversion of an EER Schema to Neo4j Schema Constraints." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbbd.2021.17876.

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Several application domains hold highly connected data, like supply chain and social network. In this context, NoSQL graph databases raise as a promising solution since relationships are first class citizens in their data model. Nevertheless, a traditional database design methodology initially defines a conceptual schema of the domain data, and the Enhanced Entity-Relationship (EER) model is a common tool. This paper presents a rule-based conversion process from an EER schema to Neo4j schema constraints, as Neo4j is the most representative NoSQL graph database management system with an express
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Passi, Kalpdrum, Don Morgan, and Sanjay Madria. "Maintaining integrated XML schema." In the 2009 International Database Engineering & Applications Symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1620432.1620461.

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Munir, Sameer, Faraz Khan, and Muhammad Atif Riaz. "An instance based schema matching between opaque database schemas." In 2014 4th International Conference on Engineering Technology and Technopreneuship (ICE2T). IEEE, 2014. http://dx.doi.org/10.1109/ice2t.2014.7006242.

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Dongming, Zhang, and Liu Guohua. "ESM: An Extended Schema Matching Method between Database Schemas." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.1003.

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Chen, Wei, Fang Zhang, and Maosen Wen. "An improved schema matching algorithm of opaque database schemas." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002333.

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Reports on the topic "Database Schema"

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Markowitz, V. M., and W. Fang. SDT: A database schema design and translation tool. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5241462.

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Lutz, Carsten. Reasoning about Entity Relationship Diagrams with Complex Attribute Dependencies. Aachen University of Technology, 2002. http://dx.doi.org/10.25368/2022.119.

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Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database design [7, 12, 17, 6]. Their classical use in the (usually computer aided) database design process can roughly be described as follows: after evaluating the requirements of the application, the database designer constructs an ER schema, which represents the conceptual model of the new database. CASE tools can be used to automatically transform the ER schema into a relational database schema, which is then manually fine-tuned. During the last years, the initially rather simple ER formalisms has b
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Hidders, Jan, Bei Li, and George Fletcher, eds. Property Graph Schema contributions to WG3. Linked Data Benchmark Council, 2020. http://dx.doi.org/10.54285/ldbc.ofjf3566.

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Five papers and three accompanying presentations contributed to the ISO/IEC JTC 1/SC 32 WG3 (Database Languages) standards committee relating to property graph schema, including meta-properties and keys
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Borgida, Alex, and Ralf Küsters. What's not in a name? Initial Explorations of a Structural Approach to Integrating Large Concept Knowledge-Bases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.101.

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Aus der Einleitung: Given two ontologies/terminologies collections of terms and their 'meanings' as used in some universe of discourse (UofD), our general task is to integrate them into a single ontology, which captures the meanings of the original terms and their inter-relationships. This problem is motivated by several application scenarios: • First, such ontologies have been and are being developed independently by multiple groups for knowledge-based and other applications. Among others, medicine is an area in which such ontologies already abound [RZStGC, CCHJ94, SCC97]. • Second, a traditi
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Athey, J. E., M. D. Hendricks, P. G. Ekberg, and W. C. Wyatt. Alaska-GeMS multi-map database schema changes from the federal GeMS standard (presentation): Digital Mapping Techniques Workshop, videoconferenced from Reston, Virginia, and Champaign, Illinois, June 8-10, 2020. Alaska Division of Geological & Geophysical Surveys, 2020. http://dx.doi.org/10.14509/30692.

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text i
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Satogata, T. A Generic Device Description Scheme Using a Relational Database. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/1119429.

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zhang, linlin, xihua liu, yuxiao chen, et al. Effect of exercise training in multiple sclerosis: a protocol for systematic reviews and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0163.

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Review question / Objective: The main purpose of this scheme is to analyze and evaluate the effect on MS symptoms, quality of life, and improvement of mental state through strict literature aerobic training and the movement of resistance training, and to compare aerobic training, resistance training, and the combination of aerobic and resistance training through network meta-analysis, select the best scheme of intervention, and provide a reference for clinical and evidence-based guidelines. Information sources: Randomized controlled trials of exercise therapy for MS were searched in the PubMed
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