National University of Ireland, Galway (IRL)
National University of Ireland, Galway (NUI, Galway) - Digital Enterprise Research Institute (DERI) is one of the main actors in research and development of semantic technologies in the world. NUIG performs research in the Semantic Web, social networks, sensor network platforms and applies its research results to solve integration problems in various application-oriented projects in eLearning, eGovernment, eBusiness, and eHealth.
Project Collaboration
BIG
Big Data is an emerging field where innovative technology offers alternatives to resolve the inherent problems that appear when working with huge amounts of data, providing new ways to reuse and extract value from information. Big Data Public Private Forum (BIG) is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of research and innovation, while also it provides a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy. Read more about BIG
LATC
This EU-funded support action aims at making it easier for data owners to publish Linked Data and interlink it with other data sources. A user-friendly 24/7 interlinking engine is developed within the project, allowing to compute and update interlinks as well as to assess their quality. Read more about LATC
LIDER
We aim at providing an ecosystem for the establishment of a new Linked Open Data (LOD) based ecosystem of free, interlinked, and semantically interoperable language resources (corpora, dictionaries, lexical and syntactic metadata, etc.) and media resources (image, video, etc. metadata) that will allow for free and open exploitation of such resources in multilingual, cross-media content analytics across the EU and beyond, with specific use cases in industries related to social media, financial services, localization, and other multimedia content providers and consumers. In some cases, we will explore new business model and hybrid licensing schemes for using of Linguistic Linked Data in commercial settings for Free but not Open resources. Read more about LIDER
LOD2
The goal of the LOD2 project is to develop infrastructure technology and best practices that fill the chasm between structured-linked-data and applied model logic & reasoning, en route redefining the Web as we know it. In doing so, LOD2 will integrate and syndicate linked data with large-scale existing applications and showcase the benefits in three application scenarios including Media & Publishing, Corporate Data Intranets and eGovernment. Read more about LOD2