Novell, Inc.

Russell Clark Johnson

Bruce R Tietjen

John P Pratt

Ronald P Millett

Michael A Eldredge

Ronald P Millet

A search decision table comprises a plurality of references to indexes, such as full text indexes, where each index corresponds to one or more informational resources. The search decision table has a plurality of references to ranges of text, wherein each range of text is bound by a lower text limit and an upper text limit. Preferably, the references to ranges of text are arranged in the matrix sequentially in alphanumeric order, and each reference to a range of text comprises the lower text limit. A plurality of cross-referencing data in the matrix correlate the references to the ranges of text and the references to the indexes, wherein each of the cross-referencing data correspond to a reference to a range of text and to a reference to an index. Preferably, the matrix includes attribute data and/or index data for each reference to range of text. Other embodiments of search decision tables are also disclosed, as well different uses for the search decision table.

Method and apparatus for organizing and using indexes utilizing a search decision table

Methods of hierarchically parsing and indexing text are provided. A source text is parsed to identify first level text entities and lower level text entities wherein the lower level text entities are subsets of their parent text entities. First level text entities are assigned a first level value corresponding to their locations within the source text, and lower level text entities are assigned lower level values, subordinate to their corresponding parent level value. Multiple levels of text entity parsing and numbering may take place. The association of linguistically derived variants of the text entities with their locations takes place.

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Saratoga Springs, UT, United States of America

Russell Clark Johnson