Method and apparatus for storing data as objects,...

Details Method and apparatus for storing data as objects,... Method and apparatus for storing data as objects,...

2000-05-11

2004-03-16

Homere, Jean R. (Department: 2177)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

06708166

ABSTRACT:

FIELD OF THE INVENTION
The invention relates to the field of databases, in particular, to data storage and data compression, and to technology for searching and retrieving data from a data store. The invention also relates to performing householding queries on end user data.
BACKGROUND OF THE INVENTION
There are many existing methods for constructing database queries, searching databases remotely, and retrieving search results. For example, U.S. Pat. No. 5,857,197 (Mullins Jan. 5, 1999) entitled “SYSTEM AND METHOD FOR ACCESSING DATA STORES AS OBJECTS” describes, according to the Abstract, a system and a method for accessing a data store as objects from an object application. The accessed data store can be either an object data store or a non-object (e.g. relational) data store. The system includes an object schema including meta data corresponding to a data store schema and an adapter abstraction layer. The adapter abstraction layer comprises a first adapter, and a second adapter. One embodiment of the system includes an object schema manager to create and maintain the object schema at run time. It comprises a dynamic, scalable, centrally managed, and secure method for accessing data stored in both object and non-object (e.g. relational) data stores, effecting a consistent interface to the data store regardless of its underlying structure, or a method of transport and level of security.
U.S. Pat. No. 5,787,411 (Groff et al. July 28, 1998) entitled “METHOD AND APPARATUS FOR DATABASE FILTER GENERATION BY DISPLAY SELECTION” describes, according to the Abstract, a method for selecting records from a displayed database table by generating an SQL SELECT command for filtering the displayed records in accordance with cell values highlighted by user input. A presently selected set of records from a desired table (generally referred to as a record set or record source) are displayed on the user's display screen. The user selects particular values in cells (an intersection of a row and a column of the displayed table) by highlighting the values using the pointer device or keyboard of the computer system. Methods of the present invention then generate an SQL select (filter) command to selectively retrieve those records from the displayed records which match the user's highlighted values. A fully highlighted cell indicates exact equality is desired by the user, a beginning portion highlighted indicates that the user wishes to match records whose corresponding column starts with the highlighted value, and ending portion selection matches the ending portion of qualified records, and a middle portion highlighted matches any record containing the highlighted value. Values highlighted in the same row generate logically AND'd clauses in the SELECT command while the comparison generated for a row are logically OR'd with the comparisons generated for other rows. The user may indicate that the highlighted values are for selection (inclusion of qualified records) or for exclusion selection (exclusion of qualified records). A new select (filter) command may be logically AND'd with the prior filter to permit complex selection criteria to be defined by simple graphical user inputs.
U.S. Pat. No. 5,864,844 (James et al. Jan. 26, 1999) entitled “SYSTEM AND METHOD FOR ENHANCING A USER INTERFACE WITH A COMPUTER BASED TRAINING TOOL” describes, according to the Abstract, a method for enhancing a user interface with a computer based training tool comprising the steps of listing domain objects on a display; listing domain object values in response to a selection of one of the domain objects; generating a plurality of inquiries in response to a user selection of one of the domain object values; replying with a predetermined answer; identifying a new domain object value in the predetermined answer; and adding to the plurality of inquiries a new inquiry which incorporates both the selected domain object value and the new domain object value.
U.S. Pat. No. 5,787,412 (Bosch et al. Jul. 28, 1998) entitled “OBJECT ORIENTED DATA ACCESS AND ANALYSIS SYSTEM” describes, according to the Abstract, a system for accessing and analyzing data through a central processing unit. The system includes a non-modal user interface to provide a user access to the system. A number of application graphics objects allow the user to visually interact with a plurality of analysis objects through the non-modal user interface. The plurality of application analysis objects allow a user to interactively create an analysis network for analyzing one or more databases. A plurality of application data access objects automatically interprets the analysis network and allows the system to access required databases and to generate structure query language required to access and analyze the databases as defined within the analysis network.
U.S. Pat. No. 5,787,425 (Bigus Jul. 28, 1998) entitled “OBJECT-ORIENTED DATA MINING FRAMEWORK MECHANISM” describes, according to the Abstract, an object oriented framework for data mining operates upon a selected data source and produces a result file. Certain core functions are performed by the framework, which interact with the extensible function. This separation of core and extensible functions allows the separation of the specific processing sequence and requirement of a specific data mining operation from the common attribute of all data mining operations. The user may thus define extensible functions that allow the framework to perform new data mining operations without the framework having the knowledge of the specific processing required by those operations.
U.S. Pat. No. 5,761,663 (Lagarde et al. Jun. 2, 1998) entitled “METHOD FOR DISTRIBUTED TASK FULFILLMENT OF WEB BROWSER REQUESTS” describes, according to the Abstract, a World Wide Web browser which makes requests to web servers on a network which receive and fulfill requests as an agent of the browser client, organizing distributed sub-agents as distributed integration solution (DIS) servers on an intranet network supporting the web server which also has an access agent servers accessible over the Internet. DIS servers execute selected capsule objects which perform programmable functions upon a received command from a web server control program agent for retrieving, from a database gateway coupled to a plurality of database resources upon a single request made from a Hypertext document, requested information from multiple data bases located at different types of databases geographically dispersed, performing calculations, formatting, and other services prior to reporting to the web browser or to other locations, in a selected format, as in a display, fax, printer, and to customer installations or to TV video subscribers, with account tracking.
However, there is a need for a substantial improvement in the efficiency of several data-intensive industries. For example, the credit industry currently requires an average of at least thirty days to respond to a customer request for information necessary to execute a pre-approved credit card mailing. Typically, a customer wishing to execute such a mailing will send the credit company a sample of the types of households to which the customer would like to send its mailing, which sample includes records containing specific addresses, account numbers, household incomes, and other household information. Because of the size of the sample, the records are generally sent on magnetic tape, which, as is well known, entails handling, transportation and storage costs and delays inherent in physical transportation. The customer also typically sends specifications for supplementing this sample data with data from the credit company data store in order to compile a complete mailing list for the offer.
The specifications might request that the data store identify 20,000 households in the same zip codes and income ranges as the households provided in the sample. The specifications might also request that once these households are identified, the data store run its own logic on this data to determine the

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