OPTIMIZING SERVER DELIVERY OF CONTENT BY SELECTIVE INCLUSION OF OPTIONAL DATA BASED ON OPTIMIZATION CRITERIA

Abstract: Optimization constraints are used to select an appropriate content item from an available group of content items which are ordered in a specific manner to facilitate the proper selection of the content item, even if the exact item desired is not present. The server (102) is then able to insert the selected content item into the outgoing content page requested by the client (106). The optimization constraints can be, but are not limited to, any one of the following: communication channel performance (bandwidth), client operating system, client processor, client display capabilities, client installed software (video or audio codecs for example), and/or user preferences. A software product and method enable selective delivery of content to client devices of varying performance characteristics, including varying bandwidth, by selective filtering and inclusion of markup language content using tags demarcating optional content. The optional content may include a number of alternate items of content. An optimization constraint is used to select one of the items. The server (102) includes the selected item in an item of content requested by a client device (106). The optimization constraints are associated with varying levels of client/communication channel performance.

Description: OPTIMIZING SERVER DELIVERY OF CONTENT BY SELECTIVE INCLUSION OF OPTIONAL DATA BASED ON OPTIMIZATION CRITERIA BACKGROUND Field of Invention The present invention relates generally to systems, methods, and software products for delivering content in client-server networks, and more particularly, to systems, methods, and software products that optimize the delivery of such content in response to optimization criteria. Background of the Invention The Internet generally, and the World Wide Web specifically, provide a client-server model of content delivery, in which content stored on a server at a web site is delivered over a communications channel to a client device. Conventionally, the content as structured by the author is delivered by the server to all requesting clients in the same form. That is, the server does not change the structure of the content to accommodate the performance characteristics of the communication channel to a particular client, or the performance characteristics of the client itself. At best, the client re-formats the received content based on its own capabilities (e.g. a text only browser will filter out images, but still must receive the images, thereby consuming bandwidth). This delivery model is not satisfactory when there are many different types of clients, with varying performance capabilities and varying communication channels. For example, today a web site may be accessed by many different types of clients, from conventional full size computers with large screen displays (e.g. 13" to 17") and full color capabilities (16M colors) to small handheld computers with small screens (e.g. 4" to 6") and limited color capabilities (256 colors), to cellular telephones with very small screens (1" -2") and virtually no color capabilities (2 - 8 colors monochrome). A web page with many images that is designed to be viewed on a full size, full color monitor will not appear at all properly on a cellular telephone display with only monochrome output. Moreover, the cellular telephone has a much lower bandwidth capability than a standard desktop computer, and thus would require significantly more time (and hence more cost and delay) in loading such a web page. Typically, in order to accommodate these varying capabilities,- a«server must maintain many different web sites or web pages, each designed to be served -o.a particular class of client. But this approach is very labor intensive, particularly for sites that must be updated frequently, since the many different sizes and content selections for a given page must be kept in synchrony to all have the same current content. Further, display capabilities are only one characteristic that affects client performance. Different client devices may operate with different bandwidth capabilities, having different processor and memory capacities, or even have different pricing schemes associated with retrieval of content. When considering the possible combinations of factors that affect client performance, such as bandwidth and display capabilities (to name just two), the number of different possible web sites that need to be maintained quickly becomes unmanageable. An alternative solution to mamtaining multiple web sites is to design web sites that are acceptable to only the lowest performance devices that are going to access the site. But this approach yields simple sites that do not fully allow higher performance devices to take advantage of their performance features. Accordingly, it is desirable to provide a system, method, and software product that can optimize delivery of content to client devices in response to optimization criteria. In particular, it is desirable to provide a web server that can efficiently deliver content to client devices having varying bandwidth, display, and other performance characteristics. SUMMARY OF THE INVENTION The present invention overcomes the limitations of the conventional systems by providing a server software product and a method that selectively delivers content to a client in response to optimization constraints indicative of the client's performance characteristics. The server delivers content such as web pages, images, text, audio, video, and any other data types to varying client devices with varying performance characteristics. The present invention augments existing markup languages with a new tag that demarcates a group of one or more content items that may be optionally included in the content to be delivered. Where there are multiple optional items in a group, these items are alternatives for inclusion in the content, and one of the items is selected by the server for inclusion in the content based on an optimization constraint dependent on the characteristics of the client device. Preferably, the items are ordered in a manner corresponding to some set of client characteristics; one of these items is selected as the content to be delivered when the content is requested. The characteristics may be performance -characteristics of the client or communication channel, or other attributes of the client. ^ -Eox-^xample, the ordering of optional content items may be with respect to highest performance to lowest performance devices, or vice versa. For example, in web page providing directions to a desired location, a group of optional content may include first an image of a map illustrating the directions, followed by a detailed text description of the directions, followed by a very short text description of the directions. Thus, each of these items is intended for different types of client devices, which can best receive and display the directions in one of these formats, and one of these forms of information will be delivered to a requesting client. When the server is processing a client request for the document, any content that is demarcated as being optional is included in the delivered content depending on the performance characteristics of client that is requesting the content. More particularly, the server processes the items of optional content in the order in which they are demarcated together. Thus, in an embodiment in which optional items are ordered from highest to lowest performance capability, if the requesting client is a high performance device (including having a high bandwidth connection), then the first item of content is included in the document; if the requesting client is a low performance device, then the first item(s) is skipped until the appropriate item of content is reached. Obviously, the reverse of this ordering and selection process is possible. The selection of which item of content is appropriate for which client device is based on an optimization constraint. The server stores data which associates different types of client devices or performance characteristics with different levels of the optimization constraint. The number of different types of client devices or performance characteristics is not limited. The server selects the appropriate optimization constraint based on observable characteristics of the client device requesting the content. These observable characteristics include the device type, browser type, operating system, processor, memory, user preferences, software installed on the client, and language type for the requested content. A set of selection rules is used by the server to select which of the optional items of content are to be delivered to the client device based on the optimization constraint. More particularly, the rules map any optimization constraint to one of the items of content. In a preferred embodiment, where the optional items are ordered with respect to their performance demands, the optimization constraint is used as an index into these items to select the appropriate one for the client. The process may be understood as one of selectively reducing the data stream provided to a specific client based on encoding of optionally selectable/ filterable data, and an optimization constraint value that controls the selection process. The tag that demarcates optional content can obviously be any useful string. In one embodiment, the tag is usefully called the "OFT" tag. The OPT tag is formatted using standard SGML formats, with <OFT> indicating the beginning of the optional content, and terminated by </OFT> indicating the end of the optional content. Within the OPT tag there may be zero or more delimiting tags separating alternative items of optional content. The preferred delimiting tag for separating alternative items is <DOFT> for "Delimiting OPTion". A well formed OPT tag has the following form: <OPT> content {<OOVY>alternative content}* </OYΪ> Zero or more <DOPT> tags with their corresponding alternative content follow in an order, which may be from highest to lowest performance requirements, or vice versa. In the former ordering, this typically means from largest data size (e.g. length of text or use of images) to smallest data size. Examples: 1. <OPT>Real Time Stock </OPT>Quotes 2. <OPT>Turn left<DOPT>Left<DOPT>L</OPT> on First Street In the first example, the optional content "Real Time Stock" is delivered only to client devices that have no performance limitations, e.g. are not bandwidth Umited, and so receive the complete text "Real Time Stock Quotes". A client device that has any optimization constraint only receives "Quotes" when this content is dehvered. Thus, the unconstrained version is appropriate, for example, for a standard desktop computer, but the latter version is better supplied to a device with a very small screen or low bandwidth capabilities, such as a cellular telephone. In the second example, of directions being given to a location, the alternative content selections become progressively smaller, being ordered left to right from least constrained (highest performance) to most constrained (lowest performance). Thus, the first item "Turn left" is dehvered to a high performance client, while the last item "L" is suitable for client devices with lower bandwidth and/ or smaller displays. One preferred method of using the optimization constraint as an index into the optional items of content uses both positive and negative numbers as optimization constraints. Positive numbers index from least constrained items to most constrained items. In example 2) above, an optimization constraint of (1) would select "Turn left" while an optimization constraint of (2) would select "Left". Negative numbers index from most constrained to least; thus (-1) would select "L", which (-2) would also select "Left". Preferably, positive one (1) always selects the least constrained item, and negative one (-1) selects the most constrained item; zero (0) is treated as negative one (-1). It is preferable rule that a negative number may never select the least constrained most item, and a positive number may never select the most constrained item. With these rules, any number of optional items of content may encoded in the document and selectively delivered. Again, whether the ordering is left to right or right to left for high to low constraint is an implementation detail; which ever is used, the selection logic is implemented to match. Using the present invention, it is possible to build a single server which is capable of serving information to multiple clients, over varying bandwidth connections, or with other varying performance characteristics. The amount of effort required to support a growing number of clients is reduced from an order of 0(2) [for a traditional system], or a square relationship, to an order of O(l), or a linear relationship. This savings of effort required to maintain such a server brings the possibility of serving data to a wide range of client devices over a broad scale of bandwidth connections to a reality. BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is an illustration of a system in accordance with the present invention. Fig. 2 is an illustration of a method of operating a server in accordance with the present invention. Figs. 3a-3c illustrates an example of an encoded content item with optional content, and different outputs of optional content according to varying levels of optimization constraint. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Referring to Fig. 1, there is shown an illustration of a system in accordance with the present invention. The system includes a server 102 and a content database 100. The server 102 of interest is the software product that executes on a conventional server grade computer, such as a workstation, minicomputer, mainframe, or the like. The server 102 is configured to execute in accordance with the functional features as described herein. The content database 100 stores content in a suitable format, such as a markup language, ASCII, and the like. Suitable markup languages include HyperText Markup Language (HTML), Extended Markup Language (XML), Hypertext Dynamic Markup Language (HDML), Tagged Text Markup Language (TTML). The server 102 is then a server of the appropriate type of markup language, and includes functions for receiving requests for a content item, typically indicated by a uniform resource locator (URL), and parsing markup language tags, creating a content item in response to a request, and transmitting the content item to the requesting client. Some of the content in the database 100 is structured to include at least one item of optional content demarcated by a specific markup language tag. The preferred tag is <OPT>, as described above, and its terminating tag </OPT>. Any number of alternate items of content may be enclosed, each delimited by a specific tag, such as <DOPT>. The items are preferably ordered with respect to some performance criteria, such as bandwidth capability. One ordering is from left to right, from lowest constraint, highest performance devices, to highest constraint, lowest performance devices. Schematically, a portion of content structured in this manner is as follows: <OPT>/oτw?st constraint data<OOVT>next loτvest constraint<OOVT>....<OO¥T>highest constraint data</OVT>. In one embodiment, these tags are part of meta-language that itself marks up other markup languages. In this embodiment, the OPT and DOPT are set off by « and », to indicate to the server 102 that they are part of the meta-language, and not part of the underlying markup language. In this manner, any number of different markup language content items are stored in the database 100, and they are marked up in the meta-language. Various different client devices use various different ones of the markup languages. CUent device specific pages are thus constructed in the different markup languages. These cUent specific pages are marked up with the meta-language tags, and here particularly the OPT tag is used to specify optional content that can be merged or integrated into the cUent specific pages. In a preferred embodiment, the content within the OPT tags is variable data selected from the database 100 in response to a query; the server filters the query response using the OPT mechanism described herein. The server 102 can thus deUver content in any of the markup languages, and with any of the optionaUy defined content to any requesting cUent; this allows different clients which use different markup languages to interface with the server 102. The server 102 cornmunicates with various types of client devices 106 over a communications network 104. The cUent devices 106 include desktop and laptop computers, pocket organizers, personal digital assistants, ceUular telephones, and any other type of communication device adapted for Internet or Web based communications (i.e. HTTP). The server 102 selectively provides optional content from a content item, depending on an optimization constraint associated with a requesting client device 106. Referring to Fig. 2, there is shown a method in accordance with the present invention. The server 102 receives 200 a request for a content item from the database 100. The server 102 determines 202 an optimization constraint associated with the requesting cUent device. The server 102 compiles 204 the requested content item, including selectively including content that is set forth as optional content, and if necessary, by selecting one of the alternate items of content, based on the optimization constraint. The server 102 then transmits 206 the compiled content item to the cUent. Determining the optimization constraint preferably includes determining either a cUent device type, cUent operating system type, cUent browser type, content language type of the requested content, communication bandwidth of the cUent, client processor, memory, user preferences, or software instaUed on the cUent, or a combination of any of these or other attributes. Selecting one of the alternate items preferably includes applying a set of rules that map the optimization constraint to selected ones of the optional content items. One set of rules uses the optimization constraint as an index, where the items are ordered in manner corresponding to performance capabilities of the cUent devices. This set of rules is described as foUows: 1. Determine the number of optional items. If only one is available, add a blank option as the rightmost (most constrained) option. 2. Retrieve the optimization constraint which corresponds to the cUent device. 3. Positive numbers select from least constrained to most constrained. Negative numbers select from most constrained to least constrained. 4. The positive number one (1) selects the least constrained item. 5. The negative number one (-1) selects the most constrained item. 6. The number zero (0) is equivalent to negative one (-1) 7. Use the optimization constraint as an index into the optional items, where 1 selects the least constrained item, 2 the second least constrained item, and so on; -1 selects the most constrained item, -2 selects the second to most constrained item and so on. 8. A negative number may never select the least constrained item. 9. A positive number may never select the most constrained item. The following table illustrates an example mapping where there are 5 items of alternate content, using a left to right, least to most constraint ordering: Table 1 In one embodiment, the optimization constraint is defined with respect to the markup language of the content being served. The next table defines one set of optimization constraints for this embodiment: Table 2 The assignment of optimization constraints based on content language is a reflection of the typical bandwidth limitations of cUent devices that use the specific content language. HTML is generally used in a desktop environment where connection speeds are relatively high and display capacities are also relatively high, and thus a low constraint is appropriate, particularly for HTML on a Tl connection. HTML on a wireless device, such as a PDA is more constrained, and hence a higher constraint. HDML is generaUy used in a digital ceUular telephone communications arena, with a transmission speed limited to 9600 bps and size of messages limited to the telephone memory, hence even more constrained environment, as reflected by the optimization constraint. TTML is generaUy used over GSM style SMS messages which are Umited to 160 characters, and thus is the most constrained environment, and thus given a -1 optimization constraint. As the server 102 scans an item of content, it comes across an OPT encoded item of data. The server 102 can determine the optimization constraint based on the markup language as in Table 2, or using any other set of rules mapping information about the cUent device attributes to an optimization value. The determined value is then used as an index into the items of DOPT portions, to select the appropriate item of content. This process is repeated for each OPT encoded portion of the requested content, so that the server 102 ultimately compUes a complete content item. The completed content item is transmitted to the cUent device. Figs. 3a-3c iUustrates a more complex example of the present invention. Here, a content item 300 in Fig. 3a is encoded in a markup language, along with multiple portions set out as optional content between OPT tags, some of which have multiple alternate items delimited by DOPT tags. Fig. 3b iUustrates the output of this content item by selection for a least constrained environment, HTML over Tl. Note that all of the optional text in each OFT section is included. Fig. 3c iUustrates output of this same content item by selection for the most constrained items for a TTML environment. As is apparent then, a single content item may be easUy structured to serve multiple different cUent devices, without having to maintain many different versions of the content item, as in conventional systems.

Claims: Claims 1. A method of optimizing the deUvery of content data from a web server to a cUent device, said method comprising: receiving a request for content data from a cUent device; selecting optional content of the content data responsive to performance characteristics of the requesting client device; and tiansmitting the selected optional content to the requesting cUent device. 2. The method of claim 1 wherein selecting optional content further comprises: selecting one of a plurality of content items responsive to the performance characteristics of the requesting cUent device. 3. The method of claim 2 wherein the plurality of content items is ordered with respect to highest and lowest performance characteristics of client devices, and selecting comprises: responsive to a cUent device having a highest performance characteristic, selecting a first ordered content item. 4. The method of claim 2 wherein the pluraUty of content items is ordered with respect to highest and lowest performance characteristics of cUent devices, and selecting further comprises: responsive to a cUent device having a highest performance characteristic, selecting a last ordered content item. 5. The method of claim 3 wherein optimization constraints are assigned to classes of cUent devices, and each class of cUent device has different performance characteristics, further comprising: determining the performance characteristics of the requesting cUent device; deteπrtining a class of cUent device to which the requesting cUent device belongs responsive to the determined performance characteristics of the requesting cUent device; assigning the requesting cUent device an optimization constraint responsive to the determined class of cUent device to which the requesting client device belongs; and selecting comprises selecting a content item whose order corresponds to the optimization constraint. 6. The method of claim 5 further comprising: responsive to an optimization constraint specifying a class of device having a lowest performance characteristic, selecting a content item requiring a least amount of bandwidth to be transmitted. 7. The method of claim 5 further comprising: responsive to an optimization constraint specifying a class of device having a lowest performance characteristic, selecting a content item comprising a least amount of data. 8. The method of claim 2 wherein optimization constraints are associated with each content item, and the optimization constraints index classes of cUent devices, wherein each class of cUent device has different performance characteristics, further comprising: assigning the requesting cUent device an optimization constraint responsive to the performance characteristics of the requesting cUent device; and selecting comprises selecting a content item responsive to the assigned optimization constraint. 9. The method of claim 8 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting cUent device further comprises: deteπrύning a connection type in use by the cUent device; and associating an optimization constraint responsive to the connection type of the cUent device. 10. The method of claim 8 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting cUent device further comprises: deteπriining a web browser in use by the requesting cUent device; and associating an optimization constraint further comprises: associating an optimization constraint responsive to the web browser in use by the requesting cUent device. 11. The method of claim 8 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting cUent device further comprises: determining a processor type in use by the requesting cUent device; and associating an optimization constraint further comprises: associating an optimization constraint responsive to the processor type in use by the requesting client device. 12. The method of claim 8 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting cUent device further comprises: deteπriining an amount of memory in use by the requesting client device; and associating an optirnization constraint further comprises: associating an optimization constraint responsive to the amount of memory in use by the requesting cUent device. 13. The method of claim 8 wherein assigning an optirnization constraint responsive to the performance characteristics of the requesting cUent device further comprises: deterrrtining a display type in use by the requesting client device; and associating an optimization constraint further comprises: associating an optimization constraint responsive to the display type in use by the requesting cUent device. 14. A system for transmitting content data over a network, comprising: a content server, for receiving a request for content from a client device, selecting optional content of the content data responsive to performance characteristics of the client device, and transmitting the selected optional content to the requesting client device. 15. The system of claim 14 further comprising a pluraUty of client devices, for transmitting requests for content to the content server and receiving content transmitted from the content server, at least one cUent device having different performance characteristics than at least one other cUent device. 16. The system of claim 14 wherein optirnization constraints index classes of cUent devices based upon performance characteristics and the optional content within a context data is indexed by the optimization constraints, and the content server selects optional content from the context data responsive to assigning an optimization constraint to a requesting cUent device. 17. A method of creating an electronic document forming a collection of content data to permit selective transmission of content data, comprising: creating content data representing alternate versions of content- inserting the content data into the content; and demarcating the content data to indicate to a processor that the content data are selectable. 18. The method of claim 17 wherein the content items have different data sizes, and inserting the content items further comprises: ordering the content items with respect to an amount of bandwidth required to transmit the content items. 19. The method of claim 17 in a system in which cUent devices receive the electronic documents for display, and the cUent devices have different performance characteristics and inserting the content items further comprises: ordering the content items with respect to performance characteristics of cUent devices. 20. A method of deUvering a web page comprising: receiving a request for transmission of the web page from a remote device; deterrnining at least one performance characteristic of the remote device; selecting optional content of the web page responsive to the determined at least one performance characteristic; and tiansmitting the selected optional content to the remote device. 21. The method of claim 20 wherein selecting optional content further comprises: selecting one of a pluraUty of content items responsive to the performance characteristics of the requesting cUent device. 22. The method of claim 21 wherein the pluraUty of content items is ordered with respect to highest and lowest performance characteristics of cUent devices, and selecting comprises: responsive to a cUent device having a highest performance characteristic, selecting a first ordered content item. 23. The method of claim 21 wherein the plurality of content items is ordered with respect to highest and lowest performance characteristics of client devices, and selecting further comprises: responsive to a cUent device having a highest performance characteristic, selecting a last ordered content item. 24. The method of claim 22 wherein optimization constraints are assigned to classes of cUent devices, and each class of cUent device has different performance characteristics, further comprising: determining the performance characteristics of the requesting cUent device; deterrruning a class of cUent device to which the requesting cUent device belongs responsive to the determined performance characteristics of the requesting cUent device; assigning the requesting client device an optimization constraint responsive to the deterrnined class of cUent device to which the requesting cUent device belongs; and selecting comprises selecting a content item whose order corresponds to the optimization constraint. 25. The method of claim 24 further comprising: responsive to an optimization constraint specifying a class of device having a lowest performance characteristic, selecting a content item requiring a least amount of bandwidth to be transmitted. 26. The method of claim 24 further comprising: responsive to an optimization constraint specifying a class of device having a lowest performance characteristic, selecting a content item comprising a least amount of data. 27. The method of claim 21 wherein optimization constraints are associated with each content item, and the optimization constraints index classes of cUent devices, wherein each class of cUent device has different performance characteristics, further comprising: assigning the requesting client device an optirnization constraint responsive to the performance characteristics of the requesting cUent device; and selecting comprises selecting a content item responsive to the assigned optirnization constraint. 28. The method of claim 27 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting client device further comprises: deterrnining a connection type in use by the client device; and associating an optimization constraint responsive to the connection type of the cUent device. 29. The method of claim 27 wherein assigning an optimization constraint responsive to the performance characteristics of the requesting client device further comprises: deterrnining a web browser in use by the requesting cUent device; and associating an optimization constraint further comprises: associating an optirnization constraint responsive to the web browser in use by the requesting cUent device. 30. A computer-readable medium for use in a system having a web server for storing content data, and which is connected to a plurality of client devices, the computer-readable medium storing instructions which cause the server to: receive a request for content data from a cUent device; select optional content of the content data responsive to performance characteristics of the requesting client device; and transmit the selected optional content to the cUent device. 31. The computer-readable medium of claim 30 wherein the stored instructions further cause the processor to: select one of a pluraUty of content items responsive to the performance characteristics of the requesting cUent device. 32. The computer-readable medium of claim 31 wherein the pluraUty of content items is ordered with respect to performance characteristics of cUent devices, and the stored instructions further cause the processor to: responsive to a cUent device having a highest performance characteristic, select a first ordered content item. 33. The computer-readable medium of claim 31 wherein optimization constraints are assigned to classes of cUent devices, and each class of cUent device has different performance characteristics, and the stored instructions further cause the processor to: determine the performance characteristics of the requesting cUent device; determine a class of cUent device to which the requesting client device belong responsive to the performance characteristics of the requesting cUent device; assign the requesting client device an optimization constraint responsive to the determined class of cUent device to which the requesting cUent device belongs; and select a content item corresponding to the optimization constraint. 34. The computer-readable medium of claim 32 wherein optimization constraints are associated with each content item, and the optimization constraints index classes of cUent devices, wherein each class of cUent device has different performance characteristics, and the stored instructions further cause the processor to: assign the requesting cUent device an optimization constraint responsive to the performance characteristics of the requesting cUent device; and select a content item responsive to the assigned optimization constraint. 35. The computer-readable medium of claim 34 wherein the stored instructions further cause the processor to: determine a connection type in use by the cUent device; and associate an optimization constraint responsive to the connection type of the cUent device. 36. A method of optimizing the deUvery of content data from a web server to a cUent device, wherein the content data is comprised of content items, optimization constraints are associated with each content item, the optimization constraints index classes of cUent devices, and wherein each class of cUent device has different performance characteristics, the method comprising: receiving a request for content data from the cUent device; determining a class of device to which the requesting client device belongs responsive to the performance characteristics of the requesting cUent device; assigning the requesting client device an optirnization constraint responsive to the determined class of cUent device; selecting one of a plurality of content items responsive to the assigned optimization constraint; and tiansmitting the selected optional content to the cUent device. 37. In a system in which a content server provides content to cUent devices, an optional content indicating system for demarcating optional content for transmission, comprising: a <OPT> tag, placed before a content item to indicate a beginning of optional content; a <DOPT> tag, placed before a content item which is an alternative for transmission to the content item demarcated by the<OPT> tag; and a </OPT> tag, placed after a content item, to indicate an end of the optional content.

Inventors: GAUTIER TAYLOR S, GAUTIER, TAYLOR, S.
Applicants: GEOWORKS CORP, GEOWORKS CORPORATION
Application year: 1999
Main classification: H04L29
IPC codes: G06F17, H04L29