Know Center Research

Vorträge

The overall objective of MIRROR is to empower and engage employees to reflect on past work performances and personal working experiences in order to learn in “real-time” and to creatively solve pressing problems immediately.
Linked Open Data has grown into a large and recognised source of data, however its uptake and commercial exploitation does not yet reflect its potential value. Two factors with potential to contribute to the value of data are correlating previously uncorrelated data and providing answers based on the data. We present a data-centric question answering portal, developed within the CODE project, which focuses on answers based on empirical facts embedded in numerical Linked Open Data. The portal is backed by services addressing data extraction and semantic integration, creating and merging of data sets, and discovery and visual analysis targeting IT laymen.
CODE’s vision is to establish a web-based, commercially oriented ecosystem for Linked Open Data. Project focuses on research papers as source of facts which are integrated into a “Linked Science Data cloud”, and investigates roles, revenue models and value chains in data marketplaces. The exhibit includes the demonstration of several showcase applications (see code-research.eu/results) as well as three platforms developed to analyse value chains for (Linked) Open Data: 42-data.org - a data-centric question and answer portal for researchers, Mendeley Desktop Client and Server API for semantically enriching research publications, and the MindMeister.com web platform for generating semantic web-enabled mind-maps.
Current research about information extraction of PDF files.
Discussion panel on topics of big-data analytics. Considered issues in terms of innovation and opportunities for research. Also looked at the need for new data processing infrastructures.