Led by Careesma, the objective of this R&D project is to improve the experience of the job-search website users.

Currently, most of the job-search portals are very simple:

Candidates post Resumes/CV and search for a job following some criteria, applying to some job offers and finally wait for a response from the company.

Companies publish their job offers and wait for the applicants, then they need to evaluate manually the candidates to pick the correct one.

RIMAS explores new methods to change this working model:

For candidates: detect which of the vacancies existing on the site are best suited to your profile, work experience, academic background, skills, ...

For business: Identify the best candidates among the applicants for a job, rejecting those that do not match their expectations with a simple click. It also recommends the best candidates available in the database that have not applied to theoffer but who match all ( or most ) requirements for the job.

Creating software applications that foster web-based social interaction is still very hard and currently beyond the capabilities of end-users, since highly skilled web application developers are needed. Consequently, the cost of community formation and evolution beyond those based on simple, general and stable interaction patterns is still too high. Individuals, however, looking either for new, partially formed, or already standing communities whose interactions are much more domain specific and specialised need software tools and platforms that support the formation of and the adjustment to communities, as well as the adaptation to new, perhaps dynamically evolving, events during a community’s lifespan.

CBIT aims at transcending the current level of social software applications and platforms for community building into the meta-level for which today’s applications will arise as particular instances. For this we shall approach community building as an iterative process consisting of community formation, interaction, and growth. In CBIT a community is understood as a group of peers whose interactions are defined via agreements on social contracts on behaviour, meaning, and reliability, and represented in a community charter. Consequently, community building will be subject to the mechanisms to be developed in the scope of this project for charter specification and selection, charter grounding and enactment, and charter revision and modification. To concretise this approach, we shall realise it for a community-building process that fosters collaboration in the generation of digital educational contents.

We shall provide a unifying framework based on interaction models that are mobile in the sense that they may be transferred to other components, this being a mechanism for Web service composition and for coalition formation.

A key contribution of OpenKnowledge is to demonstrate that by shifting the emphasis to interaction (the details of which may be hidden from users) we can obtain knowledge sharing of sufficient quality for sustainable communities of practise without the barrier of complex meta-data provision prior to community formation. We ground our research in two testbed arenas: bioinformatics and emergency response.