The EventAdvisor is a semantic matchmaking tool that connects you with talks, attendees, and job positions that are most relevant to you. With its innovative and powerful knowledge model, the EventAdvisor extracts keywords from your profile to find matches.
For quality matches and to ensure you get great results, be sure to create your own profile by uploading your CV, connecting to LinkedIn or adding keywords, as well as writing about yourself.
Create your own search filter by simply adding keywords about skills, topics and job positions that are relevant to you.
Please note that the EventAdvisor only works in English.
The Matchmaker helps you find the most relevant talks and attendees based on your profile. Keywords from you profile generate a semantic Footprint, helping the Matchmaker find the most relevant talks and attendees based on your profile. For best results, make sure to complete your profile by uploading your CV, connecting to LinkedIn, adding keywords and writing about yourself.
Leverage the Matchmaker's usability by creating your own customized search and saving it for future use.
A customized search filter allows you to:
Participating in the Job Fair allows you to see matching job offers from our sponsors and partners. In turn, if there is a match, sponsors and partners of SEMANTiCS 2018 will be able to see your profile.
Similar to the Matchmaker, your personal profile provides the basis of your matches.
The core functionality of the EventAdvisor comes from a powerful knowledge model, containing a triple store database with skills, topics, occupations, and industries. The knowledge model also contains information about industries extracted from the LinkedIn Industry classification. Information regarding industries is not used for the matchmaking process. The knowledge model has been built with PoolParty and contains over 21,000 concepts.
The EventAdvisor uses an adapted and enhanced version of the ESCO classification of the European Commission as a basis for skills and the occupations that are related to them.
The matchmaking process:
In the case of personalized search filters, the search terms correspond to concepts found in the knowledge graph. The search parameters are only stored when the user wants to save a filter for future use. The search results are calculated again each time you use a search filter. The search can be faceted by attendees and talks.
Juliane Pineiro-Winkler, Kurt Moser, Susan Haertig