Abstract: A method of data storage and retrieval using a relational database can include defining a first table in a relational database including a plurality of entries having a first value for a first field. A second table in the relational database including a plurality of entries can be defined. Each of the plurality of entries in the second table can specify an additional value for the first field of a corresponding entry in the first table. Responsive to a query, a data item selected from at least one of the plurality of entries in the first table can be presented.

Abstract: A method of data storage and retrieval using a relational database can include defining a first table in a relational database including a plurality of entries having a first value for a first field. A second table in the relational database including a plurality of entries can be defined. Each of the plurality of entries in the second table can specify an additional value for the first field of a corresponding entry in the first table. Responsive to a query, a data item selected from at least one of the plurality of entries in the first table can be presented.

Abstract: At least a first application program interface (API) may be provided to support retrieval of data from a plurality of disparate data sources. A directory from which data from at least one of the disparate data sources is exposed may be provided. Requested data may be automatically provided in response to the data being available via the directory.

Abstract: A method, system, and computer program product for aggregating constraints and/or preferences using an inference engine and an enhanced scripting language. Values of multiple factors and the interrelationships between the factors and their values are aggregated, and the result is used to tailor or direct the processing of a software program. This approach enables representing complex decisions in a straightforward manner, and avoids the need to modify the software program to account for new factors and/or new values thereof.

Abstract: Methods, systems, and computer program products for improving the transcoding operations which are performed on structured documents (such as those encoded in the Hypertext Markup Language, or “HTML”) through use of annotations. Source documents may be annotated according to one or more types of annotations. Representative types of annotations direct an annotation engine to perform selective clipping of document content, provide enhanced HTML form support, request node and/or attribute replacement or the insertion of HTML or other rendered markup syntax, and direct a transcoding engine to provide fine-grained transcoding preference support (such as controlling transcoding of tables on a per-row or per-column basis). The disclosed techniques may be used with statically-generated document content and with dynamically-generated content.