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Semi-structured data

Semi-structured data is a form of structured data that is not rigidly structured. The data model associated with semi-structured data is interpreted when the data is read from a data storage medium or accessed in memory. The data model need not conform to a predefined database schema and is not optimized for succinct, low-overhead streaming or persistent…

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Human-generated sources

Fast Healthcare Interoperability ResourcesElectronic health recordHL7Real estateDeed
20 related topics

Machine-generated sources

KeysIoTStreamsNoSQLEmail
22 related topics

Formats for machine-generated semi-structured data

SerializedObjectStoreObject Exchange ModelSOAPJavaScript
33 related topics

Query processing for semi-structured data

Data extractionMicrosoft SQL ServerB-treeSnowflakePostgreSQL
51 related topics

Topics to explore

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Overview

Human-generated sources

Machine-generated sources

Formats for machine-generated semi-structured data

Pros and cons of semi-structured data formats

Query processing for semi-structured data

Advanced semantic analysis

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Map overview Semantic statistics

Semi-structured data

Nodes170
Edges169
Triples176
Avg. degree1.99
Density0.011765
Components1

How this topic connects Entity context

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Semi-structured data

Top relations

related to XML and OEM · 19
Semi-structured data → Because XML, In, JavaScript, Latin, Microsoft Word, Nevertheless, Object Exchange Model, OEM, Office, Once JSON, SOAP, Some, Such, Swahili, The, Understanding, Word's, XML, XML-based
related to External links · 13
Semi-structured data → Chris Riccomini, CrowdstrikeDesigning Data-Intensive Applications, Data Systems, Edition, Foundations, Hadoop, IBMSemi-Structured Data Explained, Martin Kleppmann, Part, Relational, UPenn Database Group Archived, Wayback Machine, XMLSemi-Structured
related to Declarative functionality within imperative code · 11
Semi-structured data → Any, CSV, Finding, Heuristics, Information, JSON, Many, Methods, String, The Knuth-Morris-Pratt, XML
related to Deep learning models trained on semi-structured data · 11
Semi-structured data → AI, Deep, Deterministic, Human-generated, Intelligent, LLMs, Mixed, NLP, OCR, PDF, Using
related to Merged data model · 9
Semi-structured data → AWS Glue, B-tree, For, JSON, Microsoft SQL Server, PostgreSQL, Some, SQL, The Snowflake
related to Disadvantages · 8
Semi-structured data → Apache Arrow, Cypher, Ingesting, JSON, Reliance, Semi-structured, SQL, The
related to Application-specific or domain-specific formats · 7
Semi-structured data → An, Domain-specific, In, ObjectStore, Such, The, These
related to Semantic search on semi-structured data · 7
Semi-structured data → An, JSON, Semantic, Software, The, Typical, Unlike
related to Semi-structured data model · 5
Semi-structured data → NoSQL, Pattern, Some, The, When
related to Advantages · 4
Semi-structured data → Choosing, Developers, Support, The

Important terminology Word statistics

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Important terminology

data semi-structured format search json used text may model database models document learning xml relational systems methods semantic formats information

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Semi-structured datais aform of structured data that is not rigidly structured0.90text
free-form commentsinstance ofIt may be part of an unstructured document such as narrative text or may encompass unstructured data0.80text
JSONinstance ofOptical character recognition in combination with intelligent document processing can convert semi-structured data appearing on printed pages into machine-ready formats0.80text
deedinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
mortgageinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
and lien documents can be processed as JSON objects.Scanned or digital property lease documents often include irregular tablesinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
hierarchical headersinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
and customized clauses that can be treated as semi-structured data.Property listing descriptions represented via listing services include such information as square footageinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
room count along with free-form descriptive text.Human-annotated zoninginstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
appraisal filings also combine numeric values with descriptive text.Pay recordsEmployee pay stubs feature fixed field labelsinstance ofand handwritten or typed comments can be digitally stored using JSON or FHIR standards.Electronic health record logs can be formatted via standards like HL7 that group data into…0.80text
deedinstance ofReal estateReal estate records0.80text
mortgageinstance ofReal estateReal estate records0.80text

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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