Federated Search Service Sample Clauses

Federated Search Service. Federated Search enables simultaneous search of multiple data sources using a single query and search interface. The service enables searching for partners and/ or products and services, across different connected platforms and using different criteria, e.g. capabilities of partners, their geographic locations and acquired feedback and online rankings. The user is also able to search for products and services based on product/service-related criteria. The Federated Search approach is implemented using the index-time merge architecture, which reduces the risk on relying on availability of search indices in the connected platforms, in comparison to search- time merge and hybrid architectures. The index-time merge search requires content from connected platforms to be acquired into a central index at the ecosystem, in order to enable platform level search for products/services and partners/companies across the base platforms in the EFPF ecosystem. It is also used to implement traditional enterprise search systems, in which information can be retrieved across heterogeneous data sources in an enterprise. Figure 20 depicts the index-time merge architecture that supports the EFPF federated search. The major advantages of the index-time merge architecture, as shown in Figure 20, are as follows: • Through acquiring all data into a central index, sophisticated query enhancement and relevancy algorithms can be applied, providing the user with excellent search results. • The selected search architectural approach allows for flexibility in the implementation of the recommendation and matchmaking engine. • The indexed data and ML algorithms can be used to provide product/services/partners recommendation.