2 research outputs found
From a Conceptual Model to a Knowledge Graph for Genomic Datasets
Data access at genomic repositories is problematic, as data
is described by heterogeneous and hardly comparable metadata. We previously
introduced a unified conceptual schema, collected metadata in a
single repository and provided classical search methods upon them. We
here propose a new paradigm to support semantic search of integrated
genomic metadata, based on the Genomic Knowledge Graph, a semantic
graph of genomic terms and concepts, which combines the original
information provided by each source with curated terminological content
from specialized ontologies.
Commercial knowledge-assisted search is designed for transparently
supporting keyword-based search without explaining inferences; in biology,
inference understanding is instead critical. For this reason, we propose
a graph-based visual search for data exploration; some expert users
can navigate the semantic graph along the conceptual schema, enriched
with simple forms of homonyms and term hierarchies, thus understanding
the semantic reasoning behind query results