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T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples
TLDR
T-REx, a dataset of large scale alignments between Wikipedia abstracts and Wikidata triples, is presented, which is two orders of magnitude larger than the largest available alignments dataset and covers 2.5 times more predicates.
CrowdMap: Crowdsourcing Ontology Alignment with Microtasks
TLDR
CrowdMap is introduced, a model to acquire human contributions via microtask crowdsourcing to improve the accuracy of existing ontology alignment solutions in a fast, scalable, and cost-effective manner.
Crowdsourcing Linked Data Quality Assessment
TLDR
The results show that the two styles of crowdsourcing are complementary and that crowdsourcing-enabled quality assessment is a promising and affordable way to enhance the quality of Linked Data.
Towards the Future Internet - Emerging Trends from European Research
TLDR
This peer-reviewed book contains papers describing the major scientific achievements supported by European funding in the area of Future Internet, published in the context of FIA, the Future Internet Assembly, which is structured to permit interactions across technical domains from researchers and other stakeholders active in Future Internet research.
A Taxonomic Framework for Social Machines
TLDR
Within the context of the World Wide Web, the emergence of a rich range of technologies that support both collaboration and distributed processing have been witnessed, including Wikipedia, the world’s largest online encyclopedia.
Towards a classification framework for social machines
TLDR
This paper explores the landscape of social machines, both past and present, with the aim of defining an initial classificatory framework and presents an initial characterisation of some of the most popular social machines.
The Trials and Tribulations of Working with Structured Data: -a Study on Information Seeking Behaviour
TLDR
A framework for human structured-data interaction is proposed and design recommendations for data publishers and developers of online data platforms such as data catalogs and marketplaces are provided.
Ontology Engineering: A Reality Check
TLDR
It is concluded that ontology engineering research should strive for a unified, lightweight and component-based methodological framework, principally targeted at domain experts, in addition to consolidating the existing approaches.
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