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Schema.org

Known as: Schema 
Schema.org is an initiative launched on 2 June 2011 by Bing, Google and Yahoo! (the operators of the then world's largest search engines) to “create… 
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Related topics

Related topics

21 relations
BIBFRAMEControlled vocabularyHCardHTML5

Broader (3)

Information scienceOntology (information science)Semantic HTML

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A Quantitative Analysis of the Use of Microdata for Semantic Annotations on Educational Resources
, 
2018
2018
A semi-automated framework for semantically annotating web content
2017
2017
Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things
With recent advances in radio-frequency identification (RFID), wireless sensor networks, and Web services, physical things are… 
2015
2015
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things
With recent advances in radio-frequency identification (RFID), wireless sensor networks, and Web services, physical things are… 
2015
2015
An Entity By Any Other Name: Linked Open Data as a Basis for a Decentered, Dynamic Scholarly Publishing Ecology
Linked open data provides a means of producing an interlinked and more navigable scholarly environment to permit: the better… 
2015
2015
Schema.org
solutions for mobile devices. It is focused on Android and iPhone and aims to make private communication simple and secure… 
2014
2014
Knowledge Base Creation, Enrichment and Repair
This chapter focuses on data transformation to RDF and Linked Data and furthermore on the improvement of existing or extracted… 
2013
2013
Schema.org for the Semantic Web with MaDaME
Schema.org is a high profile initiative to introduce structured markup into web sites. However, the markup is designed for use… 
2013
2013
WYSIWYM Authoring of Structured Content Based on Schema.org
Structured data is picking up on the Web, particularly in the search world. Schema.org, jointly initiated by Google, Microsoft… 
Review
2011
Review
2011
Towards Large-Scale Schema and Ontology Matching
  • E. Rahm
  • Schema Matching and Mapping
  • 2011
  • Corpus ID: 14842168
The purely manual specification of semantic correspondences between schemas is almost infeasible for very large schemas or when… 
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