China 
Africa 
Explore chapters and articles related to this topic
Semantic Interoperability of Long-Tail Geoscience Resources over the Web
Published in Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser, Large-Scale Machine Learning in the Earth Sciences, 2017
Mostafa M. Elag, Praveen Kumar, Luigi Marini, Scott D. Peckham, Rui Liu
RDF in Attributes (RDFa) [30] is another attempt at solving the problem of embedding machine-readable data within HTML using RDF. It provides markup attributes to augment existing markup with machine-readable hints. RDFa follows the lightweight approach of microformats to the semantic markup of HTML pages in such a way that the content of a Web page is readable by humans and machines alike. Although many microformats exist, RDFa includes the advantages of RDF and the wider SW echo system. RDFa is also the basis on which other microformats are built, such as the Open Graph protocol [31] created by Facebook to make it easier for Facebook to include external pages in its social graph. Efforts by search companies such as schema.org exist to standardize microformats for search engine retrieval that include both new standards, microformats in this case, and the adaption of existing standards (RDFa).
Human-Computer Interaction and the Web
Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012
Helen Ashman, Declan Dagger, Tim Brailsford, James Goulding, Declan O’Sullivan, Jan-Felix Schmakeit, Vincent Wade
Most significant however, is the momentum that is gaining behind the embedding of RDF in extensible HyperText Markup Language (XHTML) documents, through “RDF— in—attributes (RDFa).” RDFa is a W3C Recommendation (W3C RDFa) that adds a set of attribute level extensions to XHTML for embedding RDF-based metadata within web documents. Support for this standard has already been announced by Yahoo, Google, Facebook, and most recently Drupal. Opening up the option of referencing RDF models in existing web pages will naturally help in the mainstreaming of semantic technologies within the existing web community.
A generic knowledge management approach towards the development of a decision support system
Published in International Journal of Production Research, 2021
Oussama Meski, Farouk Belkadi, Florent Laroche, Mathieu Ritou, Benoit Furet
The Global Framework is developed using the Java language. The technological issue was to find the most suitable API to communicate with the ontology developed using the Web Ontology Language (OWL). The required solution is to use the Jena API. Apache Jena, as stated on the Jena website, is a Java framework to construct Semantic Web Applications. It provides a programmatic environment for: Resource Description Framework (RDF), a graph model for describing web resources and their metadata, so that such descriptions can be processed automatically. Developed by the W3C, RDF is the basic language of the Semantic Web.The Web Ontology Language (OWL), a knowledge representation language built on the RDF data model. It provides the means to define structured web ontologies.SPARQL Protocol and RDF Query Language, a protocol that allows searching, adding, modifying or deleting RDF data available through the Internet.The Jena inference subsystem, designed to allow a range of inference engines or reasoners to be plugged into Jena. Such engines are used to derive additional RDF assertions, which are entailed from some base RDF together with any optional ontology information, and the axioms and rules associated with the reasoner.