lo match platform for job matchmaking n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
LO-MATCH platform for job matchmaking PowerPoint Presentation
Download Presentation
LO-MATCH platform for job matchmaking

Loading in 2 Seconds...

play fullscreen
1 / 21

LO-MATCH platform for job matchmaking - PowerPoint PPT Presentation


  • 90 Views
  • Uploaded on

LO-MATCH platform for job matchmaking. Tools for job seekers and employers Fabrizio Lamberti Dipartimento di Automatica e Informatica Politecnico di Torino Italy. Related activities. Work package 6

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'LO-MATCH platform for job matchmaking' - maia-donovan


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
lo match platform for job matchmaking

LO-MATCH platform for job matchmaking

Tools for job seekers and employers

Fabrizio Lamberti

Dipartimento di Automatica e Informatica

Politecnico di Torino

Italy

related activities
Related activities
  • Work package 6
  • Strategies and tools for semantic description in personnel recruitment and job seeking contexts
  • Work package 7
  • Identification of profiles and KSC semantic description
  • Work package 8
  • Software development for job matchmaking
  • Work package 9
  • Piloting
expected results
Expected results
  • Deliverables
    • D24: Report on the methodology for ontological description
    • of offer and demand in the context of personnel
    • recruitment and job seeeking
    • D25: Specification of a semantic engine for learning outcome
    • based job matchmaking
    • D26: Occupational definitions
    • D27: MATCH ontology
    • D28: LO-MATCH platform
    • D29: Training sessions
matchmaking
Matchmaking
  • Definition
    • “Matchmaking is the problem of matching offers and requests, such as supplies and demands in a marketplace, services and customers in a service agency, etc.”
  • Objective
    • To discover best available offers to a given request
  • Context of interest for the project
    • Labor market
matchmaking1
Matchmaking
  • Obstacles
    • marked differences in the strategies in use for describing job profiles, on one side, and curricula, on the other side

&*$! @#

£#$ #$*!%?

%£#$ &%$! #$%!% %&!$!$

! @$%!*@#!

project goal
Project goal
  • The goal of MATCH is to make it possible that
    • when an job seeker draws up his/her curriculum (offer)
    • this is expressed in a way that is “compliant” to the way companies/employers have expressed their requirements (demand)
    • and vice versa (exchanging offer and demand)
    • so that the best MATCH between the offer and the demand is found
need for a common language
Need for a “common language”
  • To maximize the overlap in matching curricula to labor market demand
  • Information pieces involved in the overall process have to be expressed by means of a “common language”
  • This would allow to
    • Limit ambiguities
    • Enable for the automatic management of information
  • Aspects to be taken into account
    • Partners’ know how
    • European tools (EFQ, Europass, etc.)
    • ICT solutions (ontologies, semantic modeling and reasoning)
need for a common language1
Need for a “common language”

Savoir-être

Habilités

Abilities

Attitudes

Learning

outcomes

Capacità

Saperi

occupational definitions
Occupational definitions
  • Bartender
  • To perform the counter and bar room fitting and arrangement
  • Organization of bar service
  • Equipment for bars
  • Tools for the preparation of beverages
  • To apply hygiene and food safety regulations
  • To use products for cleaning the premises
  • To be able to ensure the cleanliness of the premises with autonomy and assuming full responsibility
ontological descriptions match ontology
Ontological descriptions: MATCH ontology

To use

Cleaning tools

To be able to ensure the cleanliness of the premises with autonomy and assuming full responsibility

Cleaniness

Utilizzare strumenti per la pulizia degli ambienti

Autonomy

To use products for autonomously sanitizing the premises

Autonomously

To tidy up

To tidy up the working environment

To sanitize

semantic engine for job matchmaking
Semantic engine for job matchmaking

Cleaniness

To sanitize

Utilizzare strumenti per la pulizia degli ambienti

Autonomously

Autonomy

To tidy up the working environment

results achieved
Results achieved
  • Deliverables
    • D24: Report on the methodology for ontological description
    • of offer and demand in the context of personnel
    • recruitment and job seeeking
    • D25: Specification of a semantic engine for learning outcome
    • based job matchmaking
    • D26: Occupational definitions
    • D27: MATCH ontology
    • D28: LO-MATCH platform
    • D29: Training sessions
lo match
LO-MATCH
  • An intermediary platform
    • With an interface based on a Web portal
    • Integrating a semantic inference engine
    • Acting as a facilitator in the definition of request and offer descriptions in learning outcome terms
    • As well as a solver capable of finding the best match
    • Targeted to job seekers and employers
  • Relying upon a knowledge base developed by the partners
    • Encompassing semantically annotated profiles in KSCs
d28 lo match platform
D28: LO-MATCH platform
  • Four incremental releases
    • v1.0 Collection of profiles in KSC
    • v2.0 Preliminary interface
    • v3.0 Semantic annotation of
    • profiles
    • v4.0 Semantic-based job
    • matchmaking
the matchmaking process
The matchmaking process
  • Perspectives of the job seeker/employer
  • Can be roughly split in three asynchronous moments
    • The employer define the requested profile
    • The job seeker define his or her own curriculum
    • The best match between job descriptions and curricula is identified
  • With the LO-MATCH platform
    • Work/Education/Training/… experiences characterized with learning outcomes from the occupational descriptions (KSC)
    • Best match is found by exploiting lexical and semantic relations among learning outcomes