Presents a new concept-based method to analyze the text characteristics of documents at varying relevance levels. Applies the results of the document analysis in an experiment on query expansion in a probabilistic information retrieval system and investigates statistical differences in textual characteristics of highly relevant and less relevant…

Shows that in advanced information-retrieval applications capabilities for data aggregation, transitive computation and non-first normal-form relational computation are often necessary at the same time. Topics include complex objects; advanced data models; query languages; query formulation; knowledge representation; and query-language syntax.…

Shows how deductive data management techniques can be applied to the utilization of data value classifications in information retrieval. A representation of classifications which supports transitive computation is defined, and an operation-oriented deductive query language tailored for classification-based deductive information retrieval in fact…

Presents a user-oriented interface for generalized informetric analysis and demonstrates how informetric calculations can be specified through advanced data modeling techniques. Topics include bibliographic data; online information retrieval systems; citation networks; query interface; impact factors; data restructuring; and multi-level…