Abstract
A fundamental requirement for intelligent decision-making within a smart environment is the availability of information about entities and their schemas across multiple data sources and intelligent systems. This chapter first discusses how this requirement is addressed with the help of catalogs in dataspaces; it then details how entity data can be more effectively managed within a dataspace (and for its users) with the use of an entity management service. Dataspaces provide a data co-existence approach to overcome problems in current data integration systems in a pay-as-you-go manner. The idea is to bootstrap the integration with automated integration, followed by incremental improvement of entity consolidation and related data quality. The catalog and entity management services are core services needed to support the incremental data management approach of dataspaces. We provide an analysis of existing data catalogs that can provide different forms of search, query, and browse functionality over datasets and their descriptions. In order to cover the entity requirements, the catalog service is complemented with an entity management service that is concerned with the management of information about entities.
| Original language | English |
|---|---|
| Title of host publication | Real-time Linked Dataspaces |
| Subtitle of host publication | Enabling Data Ecosystems for Intelligent Systems |
| Publisher | Springer International Publishing |
| Pages | 89-103 |
| Number of pages | 15 |
| ISBN (Electronic) | 9783030296650 |
| ISBN (Print) | 9783030296643 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
Keywords
- Data catalog
- Dataspace
- Entity management
- Internet of Things
- Knowledge graphs
- Smart environments