There is an explosion of linked RDF datasets in the life sciences domain. In practice, the exploration of these data sources is far from trivial. The domain expert has to study each dataset to discover what classes, including properties of each class, it contains. Unfortunately not all datasets come with full ontologies that make this easy. This seminar discusses techniques for exploring linked datasets that lack even simple class descriptions, datasets that do contain at least rdf:types, as well as how to use existing ontologies and the output from these techniques to create an enriched schema space for data mining. It shows how to use AllegroGraph's Gruff tool to graphically visualize the results of SPARQL queries on this dataset that would be impossible without Semantic Technology.
Keywords: Data visualization, Ontology, AllegroGraph, Gruff, SPARQL, Prolog
Author: Aasman, Jan
Publisher: Franz Inc.
Date created: 2013-01-24 07:00:00.000
Time required: P35M
Educational audience: teacher-educationSpecialist
- Reads and understands high-level descriptions of the classes and properties of a dataset in order to write queries.
- Uses available tools, servers, and endpoints to issue queries against a dataset.
- Understands that resources are declared to be members (instances) of classes using the property rdf:type.
- Uses available ontology browsing tools to explore the ontologies used in a particular dataset.
- Uses publicly available tools to visualize data.