Managing the Life-Cycle of Linked Data with the LOD2 Stack

Abstract

The LOD2 Stack is an integrated distribution of aligned tools which support the whole life cycle of Linked Data from extraction, authoring/creation via enrichment, interlinking, fusing to maintenance. The LOD2 Stack comprises new and substantially extended existing tools from the LOD2 project partners and third parties. The stack is designed to be versatile; for all functionality we define clear interfaces, which enable the plugging in of alternative third-party implementations. The architecture of the LOD2 Stack is based on three pillars: (1) Software integration and deployment using the Debian packaging system. (2) Use of a central SPARQL endpoint and standardized vocabularies for knowledge base access and integration between the different tools of the LOD2 Stack. (3) Integration of the LOD2 Stack user interfaces based on REST enabled Web Applications. These three pillars comprise the methodological and technological framework for integrating the very heterogeneous LOD2 Stack components into a consistent framework. In this article we describe these pillars in more detail and give an overview of the individual LOD2 Stack components. The article also includes a description of a real-world usage scenario in the publishing domain.

Ontologies and historical archives: A way to tell new stories

“…To this purpose, interesting projects aimed at supporting the publication of metadata related to cultural heritage (e.g., museum catalogues) in the LOD cloud could be taken into account: see, for instance (Szekely et al, 2013), or more general frameworks, such as LOD2Stack (Auer et al, 2012).…”

LOD2 for Media and Publishing

“…This led to an initial version of the knowledge graph describing our domain. We then executed LOD2 Stack tools [1] on this graph in order to enrich this information using data extraction technologies as well as executing data curation for cleansing; and linking tools for ingesting knowledge from external sources. Finally, we added a visualization layer (i) to support the editorial team in metadata management and (ii) to help our customers with visualizations supporting data analytics capabilities (see also [8]).…”

User interfaces for semantic authoring of textual content: A systematic literature review

“…The life-cycle of semantic content in particular comprises phases such as semantic content creation, publishing, quality assessment, annotation, enrichment, revision and archiving [4]. On the backend side, a variety of triple stores were developed and their performance and maturity improves steadily (cf.…”

“…• fully semantic in the sense that their original data model uses a semantic knowledge representation formalism (such as RDF 4 , RDF-Schema 5 or OWL 6 ) or…”