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