Abstract: A concept cache useful in a vocabulary management system stores references to individual information objects that can be retrieved and dynamically assembled into electronic documents. Information objects are organized in one or more hierarchical trees, and references to nodes in the trees are cached. A query processor receives a cache query from a delivery engine that is attempting to dynamically construct an electronic document with content that matches the query. For example, a common Web site query contains a concept and an information type. The cache is searched to identify one or more rows that match the query concept and the query information type. An intersection of the rows is determined, yielding a result set of rows. Index pointers in the rows of the result set lead to stored information objects, which are passed to the delivery engine. The delivery engine assembles the electronic document using the information objects.

Abstract: Techniques for relating data stored in one or more storage systems for an enterprise include managing information chunks in one or more storage systems. Each chunk comprises a unit of data for storage and retrieval operations. The techniques also include managing a vocabulary database. The vocabulary database includes data structures describing atomic concepts among names in an enterprise-specific vocabulary and data structures describing relationships among the atomic concepts. Content in a document is arranged based at least in part on data in the vocabulary database. The content is based at least in part on an information object or “chunk” in the storage system. Thus, content originally unrelated and authored over time by many different persons and organizations can be related using the business vocabulary concepts and relationships in the vocabulary database.