EP Taxonomy Manager
Knowledge Management Solution
The amount of information now available on people, jobs, and education has grown exponentially, creating a complex vocabulary. Therefore, the Employment Services sector faces a significant challenge to identify which information should play a leading role in effective labor matching solutions.
The EP Taxonomy Manager module offers semantic searches, high-quality matching results, exceptional gap analysis, and concise advice on training. Crucially, the EP Taxonomy Manager module creates a vocabulary that all parts of the Employment Platform can share.
The amount of information now available on people, jobs, and education has grown exponentially, creating a complex vocabulary. Therefore, the Employment Services sector faces a significant challenge to identify which information should play a leading role in effective labor matching solutions.
The EP Taxonomy Manager module offers semantic searches, high-quality matching results, exceptional gap analysis, and concise advice on training. Crucially, the EP Taxonomy Manager module creates a vocabulary that all parts of the Employment Platform can share.
Qualifications, experience and skills
Successful and efficient job matching depends on sharing and understanding information concerning qualifications, job experience, and skills. But the vast quantity of data that are now available makes this a challenge. WCC’s expertise can help Public Employment Services (PES) and Staffing Agencies meet this challenge.
Taxonomy Manager functions
The WCC EP Taxonomy Manager is specifically designed to enhance the knowledge management process, delivering essential functions such as semantic searching, high-quality, structured data, and augmented matching results. In addition, optimized gap analysis shows which skills or qualifications jobseekers lack. As a result, jobseekers can obtain training advice or suggestions to improve their chances in the job market. In other words, our EP Taxonomy Manager makes sense of data from many sources in many different formats for maximum impact on work opportunities.
For the job matching process to be effective, there are three main requirements:
- High-quality data and knowledge of the labor market.
- Effective labor market policies.
- Useful services for jobseekers, employers and caseworkers.
- High-quality data and knowledge of the labor market.
- Effective labor market policies.
- Useful services for jobseekers, employers and caseworkers.
High-quality taxonomies
High-quality data are essential for Public Employment Services. To be sure, a large amount of data about the labor market is available within standard taxonomies such as ESCO, ISCO, ASOC, ROME3. But taxonomy management is challenging, so many PES use taxonomies only for reports. Nevertheless, every PES needs to deliver a complete set of services. Therefore, they must make sense of data from many sources and transform their data into unified information to effectively provide all these services. This information must also be frequently refreshed and enriched with data about the local labor market.
Finally, Public Employment Services must share a knowledge base with other applications and services. Job data needs to be available organization-wide to be effective without jeopardizing reliability.
The EP Taxonomy Manager module can resolve each of these challenges. As a result, it can serve as a central knowledge base throughout an entire organization.
Artificial Intelligence
Artificial Intelligence (AI) powers the WCC knowledge base. It uses automatically updated taxonomy manager data, ontologies, configurable rules, and advanced language technology. All this enables automatic Input Completion that can guide users through the registration process. This process includes requesting information and presenting relevant, personalized suggestions based on the current labor market data. In addition, jobseekers receive personally tailored digital career guidance. Among other things, this advice helps jobseekers learn how they can best close any gaps between suitable jobs and their ambitions.
Success Stories
Robert Half
(USA)
Robert Half
• Robert Half needed to quickly find the best candidates for clients in order to set it apart from other recruitment agencies.
• Our cloud-based ELISE Search & Match Platform provides meaningful, ranked results in less than a second, regardless of the search criteria or the database size.
• RH now matches candidates faster and more efficiently than any other agency. And is renowned for its use of technology.
Perkeso
(Malaysia)
Perkeso
• Perkeso wanted to decrease social security costs through job brokerage, re/upskilling, and better labor market info.
• They needed an online labor market supply & demand solution, with skills profiling and skills/occupation taxonomies, finely-tuned for the Malaysian economy.
• WCC delivered the highly successful Myfuturejobs portal, with immediate and enthusiastic adoption by 600K+ jobseekers and around 200K active employers.
AMS
(Austria)
AMS
• The Austrian PES, AMS, wanted to modernize its services for caseworkers, employers, and jobseekers while introducing skill-based matching.
• So WCC Employment Platform modules were tested in a ‘Match Lab’ at AMS.
• AMS gained experience of WCC Employment Platform modules, delivering better services and results, with less manual work, and fewer errors.
Robert Half
(USA)
Robert Half
• Robert Half needed to quickly find the best candidates for clients in order to set it apart from other recruitment agencies.
• Our cloud-based ELISE Search & Match Platform provides meaningful, ranked results in less than a second, regardless of the search criteria or the database size.
• RH now matches candidates faster and more efficiently than any other agency. And is renowned for its use of technology.
Perkeso
(Malaysia)
Perkeso
• Perkeso wanted to decrease social security costs through job brokerage, re/upskilling, and better labor market info.
• They needed an online labor market supply & demand solution, with skills profiling and skills/occupation taxonomies, finely-tuned for the Malaysian economy.
• WCC delivered the highly successful Myfuturejobs portal, with immediate and enthusiastic adoption by 600K+ jobseekers and around 200K active employers.
Robert Half
(USA)
Robert Half
• Robert Half needed to quickly find the best candidates for clients in order to set it apart from other recruitment agencies.
• Our cloud-based ELISE Search & Match Platform provides meaningful, ranked results in less than a second, regardless of the search criteria or the database size.
• RH now matches candidates faster and more efficiently than any other agency. And is renowned for its use of technology.
AMS
(Austria)
AMS
• The Austrian PES, AMS, wanted to modernize its services for caseworkers, employers, and jobseekers while introducing skill-based matching.
• So WCC Employment Platform modules were tested in a ‘Match Lab’ at AMS.
• AMS gained experience of WCC Employment Platform modules, delivering better services and results, with less manual work, and fewer errors.