Dear All,
Please let me introduce a new early adopter project, in which we will be
involved. I hope in a great and intellectually inspiring communication
with you all.
Kind regards,
Luca
The project (run by CELI under the umbrella of the IKS early adopter
program) aims to integrate Stanbol technology with a specific context
of use, i.e. CV management via CMS and semantic technologies. The
crucial challenge of this integration is the parametrization of Stanbol
to deal with information which has been automatically extracted from CV.
Besides the direct integration results, which will be distributed at the
same conditions as Stanbol software, the early adoption project will
produce two additional by-products:
The provision to Stanbol of classes allowing the connection with
Linguagrid (www.linguagrid.org) and possibly LanguageGrid
(http://langrid.org/en/index.html).
The verification of the extensibility of Stanbol to languages other
than English (The project will concern CVs written in French).
We envisage two prototypical use cases, which are described in the
following:
Use-Case 1: Human Resources Department
The context is the one of a Human Resource Department of a big company
or any recruitment company. The basic goal is to provide them with an
open source document management system able to deal in an intelligent
way with non structured CV (or "resumes"), i.e. CVs which comes in
Microsoft Word, pdf, Open Office etc. Each time a new CV arrives it is
inserted in the document base. Behind the scene this is not just adding
a document but passing it to a Standbol server which enhances it with
structured information.
This might represent:
experiences of the candidate
skills of the candidate
Education level
reference data (name, address etc.)
contact data
Some of these data might be slightly more structured than just named
entities, but definitely in the representation power of rdf. Some of
them could be even more semantically enriched, by providing external
information on companies, places, specific technologies etc.
As a result of this personnel at the HR department would be able to
formulate queries such as (just an exemplification):
All CV of people living in Paris older then 27 years
All CV of people with skills in SQL server and Java
All people who have worked in an high tech company since november 2011.
....
In terms of GUI the user will be confronted with a system that allows
easy search and easy population of CV data.
Use-Case 2: Employment Administration
In the second use case we are keeping into account the needs of public
agencies with the institutional role of re-integrating in the labor
market persons which loose their job or that are looking for their first
job. In particular we are considering institutions such as the French
Pôle emploi (http://www.pole-emploi.fr/accueil/ ,
http://fr.wikipedia.org/wiki/P%C3%B4le_emploi). This institution is in
charge of crossing the demand and the offer on the labor market, in
particular by addressing candidates to the right potential employer,
suggesting possible educational training, by shaping their skills, etc.
In many cases these agencies are managed at a local rather than a
national level, as the market of labor is affected by regional
constraints. In this use case the parametrized CMS has a double goal:
Much like in the previous case to allow the fast and intelligent
retrieval of CVs out of the document base in order to answer potential
employer needs.
To be able to perform Business Intelligence like tasks over the
structured information provided by the mass of analyzed CVs. Of course
performing BI analysis is out of the scope of this proposal, but the
structuring of CV information into ontology based classes is definitely
the first step towards this direction.
Challenges
From a technical point of view the most interesting challenge consists
in integrating the set of Stanbol enhancer, with the semantic web
services provided at www.linguagrid.org. In principle it should not be a
different integration than what has already been made with OpenCalais WS
and Zemanta WS. However there are at least two major challenges:
Multilinguality. The extraction will consider French documents
rather than English ones. Moreover, in a second phase (not covered by
the present project, the whole system could be extended to Italian and
French.
Ontological extension. While CVs typically contains quite a lot of
named entities which are already covered by Stanbol (e.g. geographical
names, time expressions, Company names, person names) there are entities
which will need some ontology extension such as skills and education.
Structural Complexity. In a CV instances of entities are linked
each other in a structurally complex way. For instance places are not
just a flat list of geographical entities, but their are likely to be
connected with periods, with job types, with companies, etc. Handling
this structural complexity represents an important challenge.
--
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Luca Dini
CELI France SAS
Grenoble:
12-14 rue Claude Genin
38000 Grenoble
Paris:
33 Avenue Philippe Auguste
75011 Paris
tel: 00 33 476 24 23 80
www.celi-france.com/
www.celi.it/
research.celi.it
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