The SGDBE consists of both a geometric dataset and a semantic dataset (set of attribute files) which link attribute values to the polygons of the geometrical dataset.
Ranker utilizes semantic, linked datasets to power this 'connected list-making' for users across a wide variety of topics, and has partnered with Freebase, Factual, and other sources of big data to pull that off.
We have already created a semantic transparency dataset SimTransCNC 1.0 which contains the overall and constituent semantic transparency rating data of about 1200 Chinese bimorphemic nominal compounds which have mid-range word frequencies and consist of free morphemes (Wang et al. 2014a).
The main purpose is to contribute towards the development of 'Linked Land Administration' that adopts Linked Data technologies for semantic management of datasets kept in public registries, and scholarly and legislative resources kept in libraries.
In this research, we developed a Long-Tail Information-Network (LTIN) model, which uses a metadata-driven approach to build semantic information-networks among datasets published over the web and aggregate them around environmental events.
The Disease Ontology (DO) is a community-driven, open source ontology designed for the semantic integration of biomedical datasets that are associated with human disease, under the principles of the Open Biomedical Ontologies Foundry.
Through semantic enforcement of all datasets, analyses and user-defined rules/constraints, users are guided through each workflow run, enhancing analytical validity and patient safety.
Here, we are inspired by previous work in ranking and multimedia retrieval domains which improves search results by learning a measure of semantic similarity from online datasets and using it to rank multimedia objects [ 23, 24].
For electronic datasets, the semantic context is ultimately defined by the computers and programs that read and write the data, which can change, intentionally or by accident, in a few seconds.
