Page 19 - sme-report-2021
P. 19
19
Core activities such as big data analysis and has been performed for 120
enterprise-wide search. publicly available ontologies. In
Founded in 2012, UK-company
addition, SciBite works closely
SciBite specialises in ontology
Elsevier acquired the company with ontology communities
management and text analytics.
in 2020 for over €70M. Similar to feedback issues they may
Their software tackles the
to Scailyte, the venture relies on discover as part of their effort to
challenge to extract, analyse
highly specialised knowledge. improve these public resources
and integrate, knowledge
From 59 team members, the continually.
locked within unstructured
company equally employs life
biomedical text to release its
scientists (31%) or computer
full potential.
scientists and bioinformaticians Position along the value
(38%). chain
Using an ontology-led approach
powered by machine learning, Using their specialised domain
their software can quickly knowledge, SciBite operates
How do they use open
extract scientific terminology data? at a specific stage along the
from unstructured text and value chain – data integration,
Publicly available ontologies
transform it into a rich, pre-processing and data
form one of the key pillars of
semantically annotated transformation. Their suite of
SciBite’s software solutions.
machine-readable dataset. APIs can be picked up by large
SciBite enriches these
Ready-made application corporations and integrated
ontologies through manual
programming interfaces into existing infrastructures.
curation and machine learning
(API) integration of data into
to make them more applicable
private infrastructures. The
to industry-specific challenges.
resulting data can be used
This enrichment process
for downstream processes,
Value chain for data analysis Selection Integration and Transformation Mining Interpretation
processing
Custom Full Service
Business Model Vocabulary Generation
High Quality Data Service
Configurable Model
Workflow as a Service Care Service
