Example:

A company wants to identify the most relevant authors/inventors to establish scientific collaborations, depending on following Benchmarks search:
- To work on specific technology of the domain
- Having already collaborated with European organizations
- To be still active or besides pretty more active in the domain

Information

Articles and patents come from STN

Method

In a targeted domain corpus, point out the most relevant organizations and human being, following the user’s benchmarks.
Browse the statistic information about actors, authors and companies.

• Main actors’ identification: companies, research organizations, universities, authors, inventors.

• Actors publishing the most
• Actors having the most of co-authors
• Actors publishing more and more about the domain
• Actors using the most one particular concept inside their publications
• Which companies are leading on the checked out sector.
• Emerging actors: companies, organizations, countries, human being.

Select the candidates and visualize information about them:

• Publications list
• Their own collaboration network
• More frequent concept inside their publications
• Organizations with which they collaborate
• Competitive organizations

• Their skills and weaknesses: their favorite domain and their weak points
• Observing their activity evolution through time
• Comparing one company with another using one point of its activity

Conclusion

2000 documents (1300 articles, 700 brevets) have been used to select 20 candidates to collaboration, in 5 hours spent on the system.
Intellixir System allows in a short period of time to select relevant candidates with an innovating way.