Affiliation:
1. City, University of London, UK
Abstract
Manufacturing communities around the globe are eagerly witnessing the recent developments in semantic web technology (SWT). This technology combines a set of new mechanisms with grounded knowledge representation techniques to address the needs of formal information modelling and reasoning for web-based services. This chapter provides a high-level summary of SWT to help better understand the impact that this technology will have on wider enterprise information architectures. In many cases it also reuses familiar concepts with a new twist. For example, “ontologies” for “data dictionaries” and “semantic models” for “data models.” This chapter presents the usefulness of a proposed architecture by applying a theory to integrating data from multiple heterogeneous sources which entails dealing with semantic mapping between source schema and a resource description framework (RDF) ontology described declaratively using specific query language (i.e. SPARQL) queries. Finally, the semantic of query rewriting is further discussed and a query rewriting algorithm is presented.
Reference43 articles.
1. Web services and data integration.;S.Abiteboul;Proceedings of the Third International Conference on Web Information Systems Engineering WISE 2002,2002
2. Abiteboul, S., & Polyzotis, N. (2007). The Data Ring: Community Content Sharing. Proceedings of the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007), Asilomar, CA, January 7-10. Academic Press.
3. A comparative analysis of methodologies for database schema integration
4. Baumgaertel, H., Ehm, H., & Kasprzik, A. (2018). Collaboration in Supply Chains for Development of CPS Enabled by Semantic Web Technologies. In M. Rabe, A. A. Juan, N. Mustafee et al. (Eds.), Proceedings of the 2018 Winter Simulation Conference (pp. 3627-3638). Academic Press.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献