Asset advisory intelligence engine for managing reusable software assets

Providing intelligent recommendations of reusable software assets can begin with obtaining semantic topic maps that define semantic relationships between topics. A topic can represent a requirement or a reusable software asset. A semantic topic map can be written in accordance with a semantic framework using a Web ontology language and stored in a semantic Web repository. User-entered search criteria, representing a requirement, a user-selected search results filter, or a reusable software asset, can be received. A set of semantic topic maps can be identified for the user-entered search criteria. A set of inferred data items can be inferred from the set of identified semantic topic maps. The contents of both sets can be aggregated into a results table. A semantic results graph, a pictorial representation of topics and relationships, can be synthesized from the results table. The semantic results graph can be rendered within an associated user interface.