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Use Cases
Scenario: A medium- or large-size company that runs numerous projects or products where AI technologies are applied.
Of course, there are other scenarios where a knowledge graph of competencies can provide benefit. Apart from its use within a company, for instance, it can be used to present the company's competencies, projects, and products to potential business partners.
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Data Acquisition: Create, update, delete all relevant entities (competencies, agents, business objects) as well as relations between them.
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Entity Exploration: Browse through pages of entities and view entity details as well as relationships to other entities.
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Search based on a problem: Having a concrete AI problem like spotting fraudulent orders in an online shop, one can find concrete tasks that solve this kind of problem, or conrete methods that are used to spot fraudulent behavior. One can also find metrics that are typically used to measure success in such a scenario.
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Search for people: With a set of competencies in mind, one can find people that have these competencies, or people that have worked in projects/on products where these competencies are applied. This is helpful in a simple
expert searchscenario, i.e. one has a problem or question and wants to consult an expert. It can also be useful when assembling a team that should have diverse competencies (e.g. for a new project). -
Search for organisations: One can find organisations that have certain competencies, or organisations that have conducted projects/created products where certain competencies were applied. This is helpful, for instance, to find new business partners for a cooperation. But internally, it can also be used to find suitable contractors the company has already successfully worked with.
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Search for projects: One can find projects based on the problem solved, or based on the competencies applied. This may increase the potential to reuse the results and findings of completed projects.
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Recommend related competencies: People can receive recommendations of competencies that are related to the ones that they already have. This can be an incentive to close potential knowledge gaps or broaden one's horizont. Similarly, organisations can get recommendations of related competencies indicating potential business opportunities.
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Recommend based on compentencies: People can receive recommendations of colleagues with similar interests for knowledge transfer. They may also get recommendations of projects to which they could contribute to (as the competencies applied in the project are similar to the ones of the person). Organisations can receive recommendations of other organisations with similar competencies (for cooperations) or with a need for certain competencies (as customers).
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Integrate external resources: Connect with external data sources to enrich the existing entities with additional details (e.g. connect to a knowledge graph of scientific articles in order to retrieve publications where specific competencies are mentioned).
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Integrate external applications: Integrate external applications that enrich existing entities with additional details (e.g. extract additional competencies from publications of a person).
- Introduction
- Use Cases
- Competency Ontology
- Application Features
- Integration of External Components