Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Machines, systems and methods for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of the representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events.

Abstract: Machines, systems and methods for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of the representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events.

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A system and method for using a combination of semantic and statistical processing of input strings or other data content, such as a web page or an electronic document. In accordance with an embodiment, the system enables the injection of semantics into an otherwise statistically-based environment, by recognizing that, within various topics, certain words, combinations of words, or phrases, herein referred to as keyphrases have different weights. Some keyphrases may be relatively unique within a particular topic, or have a relatively high weighting towards that topic; whereas other keyphrases may not be unique, or may have a relatively low rating toward that topic. In accordance with an embodiment, the system allows for characterization of both (a) “sufficient” and (b) “necessary” keyphrases. A keyphrase is considered sufficient for a particular topic when, if that keyphrase is found in the input string or data content, one is likely to be in that topic (but could be in another topic).

Abstract: A method, system and computer program product for building an expression, including utilizing any formal grammar of a context-free language, displaying an expression on a computer display via a graphical user interface, replacing at least one non-terminal display object within the displayed expression with any of at least one non-terminal display object and at least one terminal display object, and repeating the replacing step a plurality of times for a plurality of non-terminal display objects until no non-terminal display objects remain in the displayed expression, wherein the non-terminal display objects correspond to non-terminal elements within the grammar, and wherein the terminal display objects correspond to terminal elements within the grammar.

Abstract: A system and method for using semantic understanding in storing and searching data and other information. A linearized tuple-based version of a conceptual graph can be created from a user input. A plurality of conceptual graphs, or portions thereof, can be compared to determine matches. An associative database can be created and/or searched using a hierarchy of conceptual graphs in tuple format, so that the data storage and searching of such database is optimized. The associative database can be used to integrate data from multiple different sources; form part of an Internet or other search engine; or used in other implementations. Also disclosed herein is a system and method for use of semantic understanding in searching and providing of content is described herein.

Abstract: Machines, systems and methods for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of the representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events.

Abstract: Machines, systems and methods for classifying documents, the method comprising: classifying a document from among a plurality of documents in a first class, in response to applying statistical analysis to data associated with the document; classifying the document in a second class, in response to determining that a rule from among a plurality of rules applies to the document, wherein a proposed rule is added to the plurality of rules, in response to determining that application of the proposed rule to one or more of the plurality of documents to which the rule is applicable does not diminish accuracy of overall classification for the plurality of documents.

Abstract: Machines, systems and methods for classifying documents, the method comprising: classifying a document from among a plurality of documents in a first class, in response to applying statistical analysis to data associated with the document; classifying the document in a second class, in response to determining that a rule from among a plurality of rules applies to the document, wherein a proposed rule is added to the plurality of rules, in response to determining that application of the proposed rule to one or more of the plurality of documents to which the rule is applicable does not diminish accuracy of overall classification for the plurality of documents.

Abstract: Machines, systems and methods for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of the representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events.

Abstract: A system and method for using semantic understanding in storing and searching data and other information. A linearized tuple-based version of a conceptual graph can be created from a user input. A plurality of conceptual graphs, or portions thereof, can be compared to determine matches. An associative database can be created and/or searched using a hierarchy of conceptual graphs in tuple format, so that the data storage and searching of such database is optimized. The associative database can be used to integrate data from multiple different sources; form part of an Internet or other search engine; or used in other implementations. Also disclosed herein is a system and method for use of semantic understanding in searching and providing of content is described herein.

Abstract: A method and system for associating a visual graphic with an article in a list of articles, to assist the user in identifying and distinguishing different articles in the list. Associated visuals may be selected from visuals embedded within the article, or may be retrieved from a visual pool via text-matching of article titles and text to text stored with the visuals in the visual pool. Embodiments of the invention provide methods for selecting a unique visual for each title in the list, even when the articles do not contain any illustrating visuals and even when illustrating visuals are duplicated among several different articles.

Abstract: A system and method for use of carbon emissions in characterizing driver performance and using such characterization to determine a profile/score associated with a particular insured. The profile/score can then be used to determine an insurance premium for the insured. In accordance with an embodiment, a driver can use a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure the carbon emissions associated with a vehicle. A framework (system) can receive information about the driver's driving profile, and use this information either to determine an insurance quote, or act as a broker/aggregator in inviting other insurance providers to offer an insurance quote, or usage based insurance quote (UBI).

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A system and method for adapting the routing information provided by a mapping or routing device. In accordance with an embodiment, the system comprises a data collection component (e.g., one or more GPS, accelerometer, or other means of determining location and/or movement), and a route calculation logic that can use information about a first geographical location (origin), and a second geographical location (destination), to calculate a routing information, such as driving directions that a user can follow to drive from the origin to the destination. An information filtering application adapts the amount of information that will be presented to the user at a particular location, moment in time, or based on other criteria. In accordance with an embodiment, the information filtering application can, in some instances, be provided as a third-party application.

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map / map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A method, system and computer program product for building an expression, including utilizing any formal grammar of a context-free language, displaying an expression on a computer display via a graphical user interface, replacing at least one non-terminal display object within the displayed expression with any of at least one non-terminal display object and at least one terminal display object, and repeating the replacing step a plurality of times for a plurality of non-terminal display objects until no non-terminal display objects remain in the displayed expression, wherein the non-terminal display objects correspond to non-terminal elements within the grammar, and wherein the terminal display objects correspond to terminal elements within the grammar.

Abstract: A system and method for supporting self-expiring data content. In accordance with an embodiment, a data record can be associated with a future expiration date and/or time, which can be specified as either an absolute date or time, or a relative date or time. When the expiration date and/or time is reached, the data record and its associated data are automatically deleted from the system. Depending on the particular implementation, the deletion can be automatic or provide some form of confirmation or acknowledgement. In accordance with an embodiment, a user inputting the data can control the record's expiration date, such that data is only retained in the system for as long as the user reasonably expects the data to be useful to them. For example, in a mobile phone contacts implementation, a user can attach an expiration date to a particular contacts data record, and that record will only remain in their mobile phone for that desired period of time.