Semantic Querying Big and Distributed RDF Data
| Autor: | Ghadi Abderrahim, Lamrani Kaoutar, Florent Kunalè Kudagba |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Knowledge representation and reasoning
business.industry Computer science Big data Semantic search 02 engineering and technology computer.file_format Ontology (information science) Semantics World Wide Web 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing World Wide Web Consortium RDF business Semantic Web computer |
| Zdroj: | SCA |
| DOI: | 10.1145/3286606.3286859 |
| Popis: | Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request. Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by RDF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous RDF resources marked by the dynamic and scalable nature of their content. |
| Databáze: | OpenAIRE |
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