Aggregating constraints and/or preferences using an...

Data processing: software development – installation – and managem – Software program development tool – Programming language

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C706S008000, C706S047000, C706S050000

Reexamination Certificate

active

06681380

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to a computer system, and deals more particularly with a method, system, and computer program product for using an inference engine, along with an enhanced scripting language, to aggregate constraints and/or preferences that are to be applied to affect program execution.
2. Description of the Related Art
It is often useful or required to be able to tailor the execution of a software program based on dynamically determined constraints or limitations of some portion of a system, and/or based on preferences provided by users or system administrators. As one example of when this type of tailoring is advantageous, when a computer user requests delivery of document content over a network connection (such as requesting a Web page from the World Wide Web or Internet), it is often preferable to perform one or more transformations on the requested document before transmitting it to the requester. The particular transformations to be performed may be tailored to constraints such as the type of device the user is currently using, the user agent or browser executing on the device, the type of connection and network bandwidth to the user's device, and may also account for this user's preferences related to, inter alia, Web document content.
Often, Web content is created for a generic audience, without regard to the limitations that might be preferable for different target audiences. For example, a Web document may contain relatively large embedded objects such as sound files, images, video, etc., or may contain links that will automatically retrieve objects of this type. When the target device is a relatively powerful machine with a large storage capacity such as a desktop computer connected over a local area network (LAN), then downloading this type of document content is unlikely to create problems. However, it is becoming increasingly common for users to connect to the Internet with small, handheld devices that have limited memory and storage, as well as limited display space and display screens with low resolution. Such devices, referred to commonly as “constrained devices”, also typically have low power CPUs and are capable of supporting only low bandwidth connections, therefore resulting in high network latency. When a document requester is using this type of constrained device, then there may not be sufficient space for receiving and storing large Web documents on the device. In addition, the processing capabilities of a constrained device may be insufficient for a document created without regard to the limitations of these devices. Furthermore, users of constrained devices typically connect to a network using relatively expensive wireless connections, and/or connections with limited bandwidth. In such cases, the cost of receiving data content can be prohibitive, and it becomes imperative that only content which is important and necessary be sent to the end user, and that this content be sent in a format appropriate for the user's device.
Constrained devices that are commonly used in Internet communication include cellular phones, screenphones, pagers, and laptop computers. An example of this type of device is the Nokia 7110, a cellular phone with a maximum display area of 6 lines of text. Another example device is the WorkPad available from the International Business Machines Corporation (“IBM”). This device is a handheld computer typically configured with several megabytes of storage, where that storage is provided as Random Access Memory (“RAM”) to avoid the system overhead associated with other types of storage such as disk drives. (“WorkPad” is a registered trademark of IBM.)
Examples of the types of constraint-based tailoring that are desirable for a Web document include omitting images if the target device only supports a textual display or has very limited display space; converting text to speech if the target device is a wearable computing device with no display; transcoding full-color images to grayscale if the connection type is wireless, to reduce transmission time; omitting portions of the content that cannot be processed by the target user agent or browser; etc. Similar tailoring may be applied based on a user's preferences. For example, a user might specify that he or she wishes to receive images except when using his or her WorkPad device, in which case the images are to be omitted, or that only the first 100 characters of a text file are to be transmitted when he or she is using a cell phone. Furthermore, a systems administrator may specify preferences that are to be applied, such as omitting images for documents requested by all employees in a particular department or other classification.
Traditionally, conditional logic is used to tailor the execution of a software program based on factors that may vary in value (such as those which have been described above), where the conditional logic is coded as an integral part of the software and accounts for expected values of predetermined factors. However, this approach has a number of disadvantages.
First, programming skill is required to include the conditional logic within the program. The programmer must write code to handle every expected factor, and every expected value of those factors.
Second, this approach is relatively inflexible: it is not possible to account for new factors (or new values of existing factors where the new values should be separately addressed), for example, without modifying the software. As is well known, modification of software is a costly process, involving debugging, redistribution, reinstallation, etc. In the previously-discussed scenario where the tailoring process is directed toward transforming Web document content, the factors which were described included the device type, network connection type, bandwidth, user agent or browser type, and user or administrator preferences. Given the proliferation of new computing devices, it is easy to see that statically-written conditional logic code of the form “IF device-type=. . . THEN do . . . ” may need constant revision to properly account for the types of target devices which the program's users may be using, and is therefore an unsatisfactory approach. It would be preferable to enable system administrators and/or end users to determine how the conditional logic should be structured, and how it should be modified when necessary, as these are the people most directly involved with day-to-day operation of the resulting system. However, it is unlikely that the administrators and users will have the required skills or training that would be required to modify the software. In addition, modification of the software requires that the source code has been provided, which is often not the case.
Third, the values of the various factors may come from different sources. The user agent type, for example, is typically found in the header of the document request message. The identification of the user, used to locate user preferences, may come from this header or may be determined in another manner (such as by using information from the header to consult an index of users or employees). The program must contain code to locate the values of each factor for which conditional logic will be executed, and thus needs to be modified to account for any new sources that may become available.
Fourth, this conditional logic approach, which may have to account for many values of many factors as well as interrelationships between them, makes the resulting program much more complicated and thus harder to write, debug, and maintain. The program may also execute more slowly due to the complicated conditional logic.
Finally, including the conditional logic within the code which uses the result of the logic is not an optimal design strategy. The core function of the code, which merely needs to use the result of the conditional logic, may be obscured due to the added complexity introduced by the code which determines the conditional result.
Accounting for th

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Aggregating constraints and/or preferences using an... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Aggregating constraints and/or preferences using an..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Aggregating constraints and/or preferences using an... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3201276

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.