International Business Machines Corporation

Other

Frank Everett Whaley

Charles Kinston Williams

Frankie Elizabeth Patman Maguire

Leonard Arthur Shaefer, Jr

Richard Theodore Gillam

Brian Eugene Macy

Stephen John Watjen

Bin Qin

Friederike Mallchok

Name matching using enhanced name keys is provided by receiving and parsing a queried name into name phrase(s), building a name key for the queried name, the name key for identifying matches between the queried name and candidate names in a database, and the name key including name phrase digraph bitmap signature(s) for the queried name, variant code(s) for the queried name, and pseudo-phonetic name phrase digraph bitmap signature(s) for the queried name, and performing a name matching comparison that includes comparing the queried name to each candidate name of the candidate names in the database, in which the built name key for the queried name is compared to a name key for the candidate name.

Name matching using enhanced name keys

A system creates a query name bitmap signature comprising at least one bigram for a query name. The system calculates a query name bitmap range for the query name based on a match threshold and a number of bigrams in the query name bitmap signature. The system creates a data list name bitmap signature comprising at least one bigram, for each of a plurality of data list names, and identifies a subset of the plurality of data list names. The subset comprises data list name bitmap signatures that are within the query name bitmap range. The system reduces a number of comparisons by comparing only the query name and each of the subset of the plurality of data list names when performing the analytical name search. The system also reduces the number of comparisons by reducing the number of bit positions that are compared.

Search performance using smart bitmap operations

According to one embodiment of the present invention, a method for name searching in mixed-entity lists is provided which comprises dividing a mixed list of entities into a plurality of entity-specific lists. A name to be searched is then categorized into a category and a specialized search logic is applied to the name to be searched. The specialized search logic is selected to be adapted to the category and uses a one of the entity-specific lists that corresponds to the category of the name to be searched. A shared search logic may also be employed, which is used for all names to be searched.

Entity-driven logic for improved name-searching in mixed-entity lists

A method and system for differentiating types of data stored in a data collection. In one implementation, the method includes receiving a search request on a first type of data stored in the data collection; automatically differentiating data of the first type stored in the data collection from data of other types stored in the data collection; and completing the search request using data determined to be of the first type. Automatically differentiating data of the first type includes determining a type of each data entry in the data collection based only on tokens associated with the data entry.

Method and apparatus for automatically differentiating between types of names stored in a data collection

A tool is provided for sizing a gap between adjacent deck boards or other objects. The tool includes a primary element of elongate rigid form and a secondary element affixed to the primary element. The secondary element is adapted to be placed within a gap to be sized. The secondary element has a cross-section which exhibits a greater thickness in a first direction than in a second direction. This tool is used in a gap sizing method, typically with multiple similar tools, where the tool is first oriented with a greater thickness aligned with adjacent objects on each side of the gap. The tool is then rotated about a long axis of the secondary element to exhibit lesser thickness and facilitate easy removal of the tool from the gap.

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Roanoke, VA, United States of America

Frank Everett Whaley