Liling Tan - ESR 5 USAAR
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Transcript of Liling Tan - ESR 5 USAAR
Realistic Usage vs Scientific Pursuit:
What is Ontology Really for
in the Industry?
Liling Tan
Saarland University, Germany
@alvations
To bridge the gap between
industry and ontology research
More domain specific data and discoveries
True application mindfulness
Open data flow
Conclusion
A collection of knowledge
in a “related” manner.
What is an Ontology?
A collection of knowledge
in a “related” manner.
What is an Ontology?
Scientific work on ontology focuses on:
Creating / combining / extending existing
generic ontologies
Validating ontology induction methods
Using ontologies to improve NLP / MT
technologies (seldom)
What is an Ontology?
Ontologies are used as value-adding
knowledge bases for various purposes
Industrial Usage
Scientific Preference Industry Needs
Focus Experimental Application-based
Data Mostly open, sometimes closed
Mostly closed, sometimes open
Domain Generic (changing) Domain specific
Licensing Non-commercial Willing to pay for service, impossible to work on NC
Science vs Industry
Created simple rule-based and sophisticated neural systems to induce ontologies Can be adapted to match product reviews to categories / other
products
Validated experiments on using knowledge-base terms in MT Can be used for terminology standardization in MT
Create adaptive dictionary + ontological search to match resume-to-jobs
EXPERT Ontology Innovations
Created simple rule-based and sophisticated neural systems to induce ontologies Can be adapted to match product reviews to categories / other
products
Validated experiments on using knowledge-base terms in MT Can be used for terminology standardization in MT
Create adaptive dictionary + ontological search to match resume-to-jobs
EXPERT Ontology Innovations
Would you hire me?
Liling Tan
Saarland University, Germany
@alvations