The Importance of Rdf in Semantic Web Information Technology Essay
RDF: It is the formal language for describing structured information. The primary purpose of RDF is to exchange data on the Internet while preserving the original meaning of the data. It is a data model used to describe resources. Physically, for example: they need to help people access the data available as part of the Semantic Web and put their data online in the most appropriate way. This chapter, In the context of RDF document matching integration, the data type information, which is related to literal objects, is an important aspect to be analyzed. With the increasing amount of RDF data becoming available, efficient and scalable management of RDF data is critical. As new data, TLDR. The Resource Description Framework RDF provides a data model that supports rapid integration of data sources by bridging semantic differences and providing overview. RDF is a standard model for data exchange on the Internet. RDF has features that facilitate data merging even when the underlying schemas differ, and it specifically supports the evolution of schemas over time without the need to change all data consumers. RDF extends the Web's linking structure to use URIs because ontologies play an important role in enhancing semantic Web technologies, SWT, 32 and Internet of Things IoT, 49, and therefore they can be used to resolve semantic heterogeneities. The Semantic Web emerged to transform the Web from a repository of human-readable information to an entity that enables machine understandability of data. This vision has the. On the other hand, “Semantic Web Technologies” provides standards because RDF allows describing web resources with their metadata; this should drive the e-Learning community to look for this. The Semantic Web includes the technology that connects data from different sources on the Internet, as proposed by Tim Berners-Lee and led by the World Wide Web Consortium W3C. This Web of Data enables the linking of datasets between data silos on the Web by providing machine-to-machine communication via the Semantic Web. Namely, the Semantic Web needs an incremental and distributed inference method due to its long ontology size. The authors use a parallel and distributed process MapReduce to “reduce” the “map” of new inference rules. The authors in 14 state that only DBpedia. 7 of type information. The Semantic Web and its associated standards, such as the RDF universal data model 10, 11, 28, the SPARQL query language 12,13,25 and the OWL ontology language 14,15, aim to... Abstract. This chapter presents the key Semantic Web concepts and technologies used in the second part of this book. It starts with a description of the RDF data model and then presents SPARQL, focusing mainly on the query language aspect. We then focus on the different ontology languages that serve as schema, the semantic web-based technologies. introduced a new range of educational opportunities for teachers and students. Hsu 2012, Redecker et al. 2009, Yarandi et al. 2011 discussed the new. Both trends have been accelerated by efforts to develop standards for semantics, Berners Lee, 2003: OWL for ontologies terminologies, RDF for object-attribute-value triples, and RIF and RuleML for rules. This chapter presents an overview of these representations and a framework.