11.30 – 12.00 Semantic job search- showcaseJakub Zavrel, CEO Textkernel

ESCO and Semantic Search & Match

for Jobs and People

Brussels, 9/10 October 2017

What is

Semantic

Search?Find what you mean, not what you type

Search for things, not for strings

Semantic Search & Match. Why?More relevant candidates, faster!

1. More candidates: Expanding words to conceptsNo guessing what candidate wrote in the resume

2. Relevant candidates: Better filtering and rankingAvoid wrong matches by understanding context

3. Work faster- Start working on the most promising candidates first

- Be a great searcher without advanced Boolean search

- Use documents (jobs, resumes) to start automated searches

2 word user query = 35+ system query

Three Elements of Semantic

Search

Document

understanding

Domain

knowledge

Machine

Learning

➔ CV & job parsing

➔ Information extraction

➔ Taxonomies

➔ Ontologies

➔ Skills

➔ Keywords

➔ Algorithms learn from

a large set of data

➔ Learning to Rank

➔ Deep Learning

Match!

Search!

CV Extraction

job=Java Developercity=Amsterdamlangskill=Germanexperience=7

CV MatchNormalizer

job=23branch=ITlangskill=DEexperience=7loc=Amsterdam

Vacancy MatchNormalizer

job=23branch=IT

langskill=DEexperience=5..10

loc=Amsterdam+10

Vacancy Extraction

job=Java Ontwikkelarcity=Amsterdamlangskill=Duitsexperience=7

Match!

Match! models construct the Search! Data Model out of extracted information.

The XML fits the Search! Data Model and is semantically enriched when INDEXING.

The result is a QUERY that fits the Search! Data Model. It is semantically enriched when executed

Data Model

job branch langskill location

experience

ESCO – What it means for us

• Direct availability of semantic query enrichments in 26 EU languages (on top of 6 that we developed internally)

• Cross lingual search because of aligned taxonomies.

• Occupation to skills expansion for better search

Demo

Some numbers on coverageNumbers of results?

Occupation ESCO Essential ESCO Optional TK Skills

ICT Security Technician 0 2230 2255

ICT Network Technician 0 128 454

Data Scientist 21 92 200

Office Manager 23 187 9514

Sales Manager 17 47 164

Sales Assistant 1 1 543

Waiter/waitress 0 0 207

Receptionist 190 193 197

Some numbers on coverageHow is the general coverage of the data by ESCO?

Some numbers on coverageHow is the general coverage of the data by ESCO?

SummaryTextkernel will support ESCO v1 in its Search & Match products.

Direct availability of semantic enrichments in 26 EU languages.

A standard to evolve.

Further steps needed to address:• Gap between ESCO terms and actual language use

• Maintenance process