Textkernel Talks - Neo4j usage in Textkernel
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by Alexey Shevchenko, PHP developer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the joint event with GraphDB Meetup on Wednesday 9 December. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl.
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Textkernel Talks - Neo4j usage in Textkernel
- 2. Introduction
- 3. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp and Amsterdam • Specialised in information extraction, web mining and semantic searching & matching in the HR industry
- 4. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp and Amsterdam • Specialised in information extraction, web mining and semantic searching & matching in the HR industry • We’re hiring! → http://www.textkernel.com/jobs/
- 5. Textkernel Talks • September: Resiliency in Elasticsearch • October: Deep Learning, the recent years • December: Introduction to Graph databases • Ideas? → talks@textkernel.nl
- 6. Web Taxonomy Editor An example of Neo4j usage in Textkernel
- 7. Your presenter: Alexey Shevchenko • Joined Textkernel in 2015 as PHP developer • Member of Jobfeed team • Participates in Web Taxonomy Editor circle • Has 5+ years in production development • Docker enthusiast
- 8. Web Taxonomy Editor • Web service that is designed to edit taxonomies • Taxonomies are stored in Neo4j as an individual trees • Used by customer to improve their companies, professions and skills taxonomies • Planned to be used by Textkernel on our own data
- 9. Production stats • 1,114,942 nodes • 1,667,364 relationships • 1.6 Gb storage • 2.4 Gb RAM
- 11. TK graph usage - professions
- 12. Relations between similar taxonomies
- 13. Benefits for using Neo4j for TK Data • Significantly improve quality of Match! service • Significantly reduce amount of work for Data & Quality team
- 14. Using Docker in Development
- 15. Questions?