EAN: 9783844075311

BOTTOM-UP KNOWLEDGE GRAPH-BASED DATA MANAGEMENT...

The implementation of data science use cases that rely on machine learning requires access to a
sufficient amount of data. Available data usually shows a great variety in terms of data
sources  formats and quality. Therefore  data scientists need ways to discover  understand and
access potentially relevant data sources. At the same time  data providers need possibilities
to make their data sources available regardless of their later use. An important approach for
simplifying the provision and consumption of data is Ontology-based Data Management (OBDM)  in
which an ontology is used as a common shared conceptualization. However  current OBDM
approaches rely on ontologies that were created in advance  whereby the creation as well as
maintenance are already complex and time-consuming processes. This thesis introduces a novel
approach  called Bottom-up Knowledge Graph (BUKG)  that improves OBDM by overcoming issues of
traditional ontology engineering for the management of (semi-)structured data sources. Instead
of creating and maintaining ontologies top-down  a BUKG learns the individual
conceptualizations of data providers and consumers and continuously integrates them into its
common shared conceptualization. In this way  the presented approach makes an important
contribution to the semantic data management by supporting the seamless collection  integration
discovery  understanding and access of heterogeneous data sources based on a novel bottom-up
conceptualization.

Aktuelle Preise zur EAN 9783844075311

Produktinformationen zur 9783844075311