On Monday, 2nd of March 2015, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. Martin Brümmer will then present NIF annotation and provenance – A comparison of approaches.
Tommaso Soru – ROCKER – Abstract
As within the typical entity-relationship model, unique and composite keys are of central importance also when their concept is applied on the Linked Data paradigm. They can provide help in manifold areas, such as entity search, question answering, data integration and link discovery. However, the current state of the art does not count approaches able to scale while relying on a correct definition of key. We thus present a refinement-operator-based approach dubbed ROCKER, which has shown to scale to big datasets with respect to the run time and the memory consumption. ROCKER will be officially introduced at the 24th International Conference on World Wide Web.
Tommaso Soru, Edgard Marx, and Axel-Cyrille Ngonga Ngomo, “ROCKER – A Refinement Operator for Key Discovery”. [PDF]
Martin Brümmer - Abstract – NIF annotation and provenance – A comparison of approaches
The uptaking use of the NLP Interchange Format (NIF) reveals its shortcomings on a number of levels. One of these is tracking metadata of annotations represented in NIF – which NLP tool added which annotation with what confidence at which point in time etc.
A number of solutions to this task of annotating annotations expressed as RDF statements has been proposed over the years. The talk will weigh these solutions, namely annotation resources, reification, Open Annotation, quads and singleton properties in regard to their granularity, ease of implementation and query complexity.
The goal of the talk is presenting and comparing viable alternatives of solving the problem at hand and collecting feedback on how to proceed.