Semi-structured data is a form of structured data that does not obey the tabular structure of data models associated with relational databases or other...

A semi-structured interview is a method of research used most often in the social sciences. While a structured interview has a rigorous set of questions...

explicit data model or data structure. Structured data is in contrast to unstructured data and semi-structured data. The term data model can refer to two distinct...

A data lake can include structured data from relational databases (rows and columns), semi-structured data (CSV, logs, XML, JSON), unstructured data (emails...

Structure mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential...

allow for easy retrieval of data. Clustering Pattern recognition List of text mining software Semi-structured data Structured data ^ Today's Challenge in Government:...

In computing, a persistent data structure or not ephemeral data structure is a data structure that always preserves the previous version of itself when...

structured data from relational databases, semi-structured data, unstructured data, and binary data. A data lake can be created on premises or in a cloud-based...

wiki powered by the software MediaWiki, including its extension for semi-structured data, the Wikibase. As of early 2023, Wikidata had 1.54 billion item statements...

stored, this information is either unstructured or semi-structured. The management of semi-structured data is an unsolved problem in the information technology...

Zhao, Zhijia (April 2019). "Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach"...

for working with versioned semi-structured data in a central repository. It is based upon JSON instead of the unstructured data of wikitext normally used...

database systems and data management. She is notable for foundational contributions to semi-structured data management and data stream management systems...

This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred...

that provide additional information about the data and are applied to structured and semi-structured data and are collected in tag profiles. Enterprise...

extraction (NLP) and ETL (data warehouse), the main criterion is that the extraction result goes beyond the creation of structured information or the transformation...

Docugami, Inc. which focuses on productivity, machine learning, semi-structured data and documents. "Extensible Markup Language (XML)". "Extensible Markup...

program and data storage system designed for storing, retrieving and managing document-oriented information, also known as semi-structured data. Document-oriented...

creation of documents composed of semi-structured data. Semantic web gives meaning (semantics) to semi-structured data. XML Namespaces provides a way to...

relational data, Dataverse also has support for file and blob storage, data lakes and semi-structured data. Dataverse is based on Microsoft's Common Data Model...

combining data from many different data sources, for example, text files, databases, XML, JSON, and many other forms of structured and semi-structured data. In...

and semi-structured data is provided using the new FILESTREAM data type, which can be used to reference any file stored on the file system. Structured data...

source Apache Spark framework that allows analytical queries against semi-structured data without a traditional database schema. In October 2022, Lakehouse...

Papers. GB 2384875, Dingley, Andrew Peter, "Storage and management of semi-structured data", published 2005-04-27, assigned to Hewlett-Packard Co. , now expired;...

which constitutes semi-structured data. For example, the running time of a movie annotated using MPEG-7 in XML is machine-readable data, so software agents...

exposing structured data, semi-structured data, and unstructured data using ontologies to reconcile semantic heterogeneities within the contributing data and...

computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that stores a collection of...

Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or...

system, designed for persistence and management of structured, semi-structured and unstructured data. WinFS includes a relational database for storage...

"big data" in 2010. CTO Stephen Brobst attributed the rise of big data to "new media sources, such as social media." The increase in semi-structured and...