Platform II

Session 4.2

Wednesday, September 13, 2017 - 11:45 to 12:45
Room 8



Unleash the Triple: Leveraging a corporate discovery interface. The OECD case

The talk and demonstration will highlight the development, at the Organisation for Economic Co-operation and Development, of “O.N.E Sight”,  a fully semantic reading assistant, which unleashes the power of the triples, the result of 3 years of capacity building, developments and cross functional team work.

We will outline the project approach, the learning curve the team went through, the intellectual and technical challenges faced as issues linked to new ways of handling information, silos, traditional text-indexation, lack of text fragmentation and semantic links, reconciliation of semantic and textual searches, representation issues and more had to be addressed.
We will describe the long march towards semantic annotation and the emphasis placed on the quality of the tagging.  This will include: i) development, maintenance and use of the OECD central Taxonomies and Ontologies  in the semantic analysis tools,  ii) hazards of semantics (fuzziness, context, acronyms and disambiguation), iii) creation of a golden corpora, annotation quality testing, multi-view annotation graphs and iv) development of tools to identify ‘knowledge nuggets’, such as socio-economic indicators, by tagging semantic relationships within texts. The methodology used to develop these quality tagging applications, persistently returning high precision and recall statistics (around 95%) to ensure reliable results enabling the use of the tags in a production environment, will be described.

Research & Innovation

Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components

Currently, we are witnessing the rise of new technology-driven trends such as the Internet of Things, Web of Things, and Factories of the Future that are accompanied by an increasingly heterogeneous landscape of small, embedded, and highly modularized devices and applications, multitudes of manufactures and developers, and pervasion of things within all areas of life. At the same time, we can observe increasing complexity of the task of integrating subsets of heterogeneous components into applications that fulfil certain needs by providing value-added functionality beyond the pure sum of their components. Enabling integration in these multi-stakeholder scenarios requires new architectural approaches for adapting components, while building on existing technologies and thus ensuring broader acceptance. To this end, we present our approach on adaptation, that introduces adaptable interfaces, interactions, and processing for Linked Data Platform components. In addition, we provide an implementation of our approach that enables the adaptation of components via a thin meta-layer defined on top of the components' domain data and functionality. Finally, we evaluate our implementation by using a benchmark environment and adapting interfaces, interactions, and processing of the involved components at runtime.