Customer Service Analytics - Make Sense of All Your Data.pptx
Liling Tan - ESR 5 USAAR
1. Realistic Usage vs Scientific Pursuit:
What is Ontology Really for
in the Industry?
Liling Tan
Saarland University, Germany
@alvations
2. To bridge the gap between
industry and ontology research
More domain specific data and discoveries
True application mindfulness
Open data flow
Conclusion
3. A collection of knowledge
in a “related” manner.
What is an Ontology?
4. A collection of knowledge
in a “related” manner.
What is an Ontology?
5. 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?
6.
7.
8. Ontologies are used as value-adding
knowledge bases for various purposes
Industrial Usage
9.
10.
11.
12. 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,impossibleto
work on NC
Science vs Industry
13. 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
14. 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
15. Would you hire me?
Liling Tan
Saarland University, Germany
@alvations