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Parametric schema inference for massive JSON datasets [PDF]

VLDB Journal, 2019
In recent years, JSON established itself as a very popular data format for representing massive data collections. JSON data collections are usually schemaless. While this ensures several advantages, the absence of schema information has important negative consequences as well: Data analysts and programmers cannot exploit a schema for a reliable ...
Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli   +2 more
exaly   +8 more sources

A universal approach for multi-model schema inference

Journal of Big Data, 2022
The variety feature of Big Data, represented by multi-model data, has brought a new dimension of complexity to all aspects of data management. The need to process a set of distinct but interlinked data models is a challenging task.
Pavel Koupil, Sebastián Hricko, Irena Holubová   +2 more
doaj   +4 more sources

Optimization and Refinement of XML Schema Inference Approaches

Procedia Computer Science, 2012
AbstractXML is a widely used technology. Although in most real life applications XML data is required to conform to particular schemas, the majority of real-world XML documents does not contain any explicit declaration. To fill the gap, the research area of automatic schema inference from XML documents has emerged.
Irena Mlýnková
exaly   +4 more sources

Schema Inference for Massive JSON Datasets. [PDF]

International Conference on Extending Database Technology, 2017
In the recent years JSON affirmed as a very popular data format for representing massive data collections. JSON data collections are usually schemaless. While this ensures several advantages, the absence of schema information has important negative consequences: the correctness of complex queries and programs cannot be statically checked, users cannot ...
Baazizi, Mohamed-Amine, Ben Lahmar, Houssem, Colazzo, Dario, Ghelli, Giorgio, Sartiani, Carlo   +4 more
semanticscholar   +4 more sources

An Analysis of Approaches to XML Schema Inference [PDF]

2008 IEEE International Conference on Signal Image Technology and Internet Based Systems, 2008
In this paper we focus on the problem of automatic inferring of an XML schema for a given sample set of XML documents. We provide an overview and analysis of existing approaches and compare their key advantages. We conclude the text with a discussion of open issues and problems to be solved as well as their possible solutions.
Irena Mlýnková
exaly   +3 more sources

Schema Inference for Interpretable Image Classification [PDF]

CoRR, 2023
In this paper, we study a novel inference paradigm, termed as schema inference, that learns to deductively infer the explainable predictions by rebuilding the prior deep neural network (DNN) forwarding scheme, guided by the prevalent philosophical cognitive concept of schema.
Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen 0004, Jie Song 0011, Mingli Song   +5 more
openaire   +4 more sources

Towards Schema Inference for Data Lakes [PDF]

CoRR, 2022
13 pages, 2 ...
Nour Alhammad, Alex Bogatu, Norman W. Paton   +2 more
openaire   +3 more sources

A Comparative Analysis of JSON Schema Inference Algorithms

Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, 2022
: NoSQL databases are becoming increasingly more popular due to their undeniable advantages in the context of storing and processing Big Data, mainly horizontal scalability and minimal requirement to define a schema upfront. In the absence of the explicit
Ivan Veinhardt Latták, Pavel Koupil
openaire   +2 more sources

Schema validation and evaluation framework for extracted schemas in JSON databases [PDF]

Scientific Reports
The increasing use of schemaless data systems has intensified the need for reliable methods to assess the quality of extracted schemas intended for downstream tasks such as data integration, query optimisation, and interoperability.
Saad Belefqih, Mohammed Barchane, Ahmed Zellou, El Habib Benlahmar   +3 more
doaj   +2 more sources

From chaos to clarity: schema-constrained AI for auditable biomedical evidence extraction from full-text PDFs [PDF]

BMC Medical Research Methodology
Background Biomedical evidence synthesis depends on accurate extraction of methodological, laboratory, and outcome variables from full-text research articles.
Pouria Mortezaagha, Joseph Shaw, Bowen Sun, Arya Rahgozar   +3 more
doaj   +2 more sources