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Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45271-0_9openalex-snapshot
Efficient Relational Storage and Retrieval of XML Documents
inferredcites →https://doi.org/10.1007/bfb0035609openalex-snapshot
Dependency mining in relational databases
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A survey of approaches to automatic schema matching
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Algorithms for inferring functional dependencies from relations
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Approximate inference of functional dependencies from relations
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SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
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Tane: An Efficient Algorithm for Discovering Functional and Approximate Dependencies
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A feasibility and performance study of dependency inference (database design)
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From XML schema to relations: a cost-based approach to XML storage
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The GHTorent dataset and tool suite
inferredcites →https://doi.org/10.1145/1030397.1030401openalex-snapshot
Querying XML documents by dynamic shredding
inferredcites →https://doi.org/10.1145/2736277.2741121openalex-snapshot
Deriving an Emergent Relational Schema from RDF Data
inferredcites →https://doi.org/10.1145/290941.290982openalex-snapshot
Discovering typical structures of documents
inferredcites →https://doi.org/10.1145/304181.304220openalex-snapshot
Storing semistructured data with STORED
inferredcites →https://doi.org/10.1145/304182.304220openalex-snapshot
Storing semistructured data with STORED
inferredcites →https://doi.org/10.1145/319732.319735openalex-snapshot
A simplied universal relation assumption and its properties
inferredcites →https://doi.org/10.1145/329.318580openalex-snapshot
On the foundations of the universal relation model
inferredcites →https://doi.org/10.1145/603867.603871openalex-snapshot
A general technique for querying XML documents using a relational database system
inferredcites →https://doi.org/10.5555/1216155.1216159openalex-snapshot
Database dependency discovery: a machine learning approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Jsonoid: Monoid-Based Enrichment for Configurable and Scalable Data-Driven Schema Discovery
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TDM: A Tensor Data Model for Logical Data Independence in Polystore Systems
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Schema-Independent Querying and Manipulation for Heterogeneous Collections in NoSQL Document Stores
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Answering GPSJ Queries in a Polystore: A Dataspace-Based Approach
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Integration of Fast-Evolving Data Sources Using a Deep Learning Approach
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JSON Schema Inference Approaches
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Optimizing Execution Plans in a Multistore
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Querying Heterogeneous Data in Graph-Oriented NoSQL Systems
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Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics
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Parametric schema inference for massive JSON datasets
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A dataspace-based framework for OLAP analyses in a high-variety multistore
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SEREIA: document store exploration through keywords
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Cost-based Optimization of Multistore Query Plans
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EXODuS: Exploratory OLAP over Document Stores
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Approximate OLAP of document-oriented databases: A variety-aware approach
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Schema-independent querying for heterogeneous collections in NoSQL document stores
inferred← citeshttps://doi.org/10.1109/globconet53749.2022.9872382openalex-snapshot
ClustVariants: An Approach for Schema Variants Extraction from JSON Document Collections
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Extracting Graphs Properties with Semantic Joins
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ZTab: Domain-Based Zero-Shot Annotation for Table Columns
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DataForge: An AI-Driven Data Warehouse Schema Generator
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An Improved Dynamic Vertical Partitioning Technique for Semi-Structured Data
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Counting types for massive JSON datasets
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A Tensor Based Data Model for Polystore
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Reducing Ambiguity in Json Schema Discovery
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JSON Tiles: Fast Analytics on Semi-Structured Data
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SQL-like query language and referential constraints on tree-structured data
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An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake
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A Survey on Mapping Semi-Structured Data and Graph Data to Relational Data
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Integration of large-scale data processing systems and traditional parallel database technology
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An LSM-based tuple compaction framework for Apache AsterixDB
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Pipeline Condition Assessment by Instantaneous Frequency Response over Hydroinformatics Based Technique—An Experimental and Field Analysis
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When Relational-Based Applications Go to NoSQL Databases: A Survey
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Transformative trajectories: PLS-SEM analysis of factors influencing emerging technologies in construction adoption in Malaysia
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Transportation Service Application Program at PT Y
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An LSM-based Tuple Compaction Framework for Apache AsterixDB (Extended Version)
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Towards a Polyglot Data Access Layer for a Low-Code Application Development Platform
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Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
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Querying Heterogeneous Document Stores
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An Empirical Study of Open Data JSON Files
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Schema Inference for Massive JSON Datasets
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Schemas And Types For JSON Data
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SEREIA - Busca por Palavras-Chave em Document Stores
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Boas práticas de modelagem de dados em bancos relacionais: uma revisão rápida de literatura
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Optimizing MongoDB Schemas for High-Performance MEAN Applications
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Querying heterogeneous data in NoSQL document stores
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