Abstract: Systems and techniques to generate a term taxonomy for a collection of documents and filling the taxonomy with documents from the collection. In general, in one implementation, the technique includes: extracting terms from a plurality of documents; generating term pairs from the terms; ranking terms in each term pair based on a relative specificity of the terms; aggregating the ranks of the terms in each term pair; selecting term pairs based on the aggregate rankings; and generating a term hierarchy from the selected term pairs.

Abstract: Systems and techniques for mapping data structures in a data processing environment to help ensure the accessibility of stored information. In one implementation, an article includes a machine-readable medium storing instructions. The instructions are operable to cause one or more machines to perform operations. The operations include receiving a first data storage schema in which a characteristic in a first dimension table is mapped by a first table and a second table and generating a second data storage schema. The first table maps the characteristic to a first object that include attributes to which time information is irrelevant to data processing activities and the second table maps the characteristic to a second object that include attributes to which time information is relevant to data processing activities.

Abstract: A query having multiple parts may be processed to form an intermediate results set. This intermediate results set may be partitioned into a plurality of groups. Thereafter, the groups may be sorted into a plurality of containers so that each container contains data sufficient to calculate one requested result in the multipart query. Related techniques, apparatuses, systems, and computer program products are also described.

Abstract: Systems and techniques to generate a term taxonomy for a collection of documents and filling the taxonomy with documents from the collection. In general, in one implementation, the technique includes: extracting terms from a plurality of documents; generating term pairs from the terms; ranking terms in each term pair based on a relative specificity of the terms; aggregating the ranks of the terms in each term pair; selecting term pairs based on the aggregate rankings; and generating a term hierarchy from the selected term pairs.