Abstract: A method and system are provided for triggering a transmittal of an application to a device connected to a host computer. The method comprises: displaying in a web browser on the host computer a list of at least one application available for download to the device; receiving instructions through the web browser to download the application to the device; and in response to receiving instructions to download the application to the device: i) transmitting a request for the application to an application delivery server; ii) receiving the application from the application delivery server at the host computer; and iii) transmitting the application from the host computer to the device.

Abstract: The present invention provides a computer network implementable integration of promoted information with non-promoted content before a consumer interaction with the network, such that when the consumer interacts with the network, a consumer information interacts with this integrated content and delivers a message to the consumer such that the consumer visualizes this message as part of consumer experience without distracting from the network interaction task at hand. The integration is facilitated by semantic analysis and synthesis to naturally position the promoted content as close to the consumer interaction tasks as possible at that instant. This approach displaces the current practice of matching message to media placement while further enabling a promoter to evaluate and respond to feedback data depicting the efficacy of the sponsor message. The network in question is any computer network such as the Internet or intranet.

Abstract: Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

Abstract: Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive of an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

Abstract: Disclosed is a system and method for enhancing value for advertisers by helping them select and initiate the purchase of an advertisement associated with an advertising (ad) words or phrases that have strong semantic relationships to a given context, but which are not necessarily the most popular ad words or phrases with the highest costs. Advertisements associated with ad words or phrases that have strong semantic relationships to a given context, and yet are still cost effective in that their calculated value exceeds the costs of purchasing the ad keywords, are bid for and bought. In an embodiment, the system and method may be adapted to automatically purchase advertisements associated with ad words or phrases when the ad words or phrases fall within a desired price range based on their calculated value.

Abstract: This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.

Abstract: Disclosed is a system and method for enhancing value for advertisers by helping them select and initiate the purchase of an advertisement associated with an advertising (ad) words or phrases that have strong semantic relationships to a given context, but which are not necessarily the most popular ad words or phrases with the highest costs. Advertisements associated with ad words or phrases that have strong semantic relationships to a given context, and yet are still cost effective in that their calculated value exceeds the costs of purchasing the ad keywords, are bid for and bought. In an embodiment, the system and method may be adapted to automatically purchase advertisements associated with ad words or phrases when the ad words or phrases fall within a desired price range based on their calculated value. By automatically purchasing such advertisements, the return on investment (ROI) for an advertiser may be improved.

Abstract: This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.

Abstract: Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive of an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

Abstract: Techniques are described for performing synthesis of relationships between a plurality of concept definitions automatically derived from a faceted domain of information. Some embodiments involve identifying at least one facet attribute in an active concept definition specified by user input. In response to determining that at least one explicit relationship and/or at least one implicit relationship exist(s) between the active concept definition and a first concept definition of the plurality of concept definitions, a relationship is synthesized between the active concept definition and the first concept definition.

Abstract: Techniques are described for performing synthesis of relationships between a plurality of concept definitions automatically derived from a faceted domain of information. Some embodiments involve identifying at least one facet attribute in an active concept definition specified by user input. In response to determining that at least one explicit relationship and/or at least one implicit relationship exist(s) between the active concept definition and a first concept definition of the plurality of concept definitions, a relationship is synthesized between the active concept definition and the first concept definition.

Abstract: Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

Abstract: Disclosed is a system and method for performing a semantic operation on a social network. In an embodiment, the method comprises receiving a social network user context associated with a user of the social network; generating, through a semantic operation, an interest network based on the user context information; and filtering, ranking or augmenting, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network; wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network. In another embodiment, the method further comprises representing the interest network as an interest graph. In yet another embodiment, the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

Abstract: Disclosed is a system and method for enhancing value for advertisers by helping them select and initiate the purchase of an advertisement associated with an advertising (ad) words or phrases that have strong semantic relationships to a given context, but which are not necessarily the most popular ad words or phrases with the highest costs. Advertisements associated with ad words or phrases that have strong semantic relationships to a given context, and yet are still cost effective in that their calculated value exceeds the costs of purchasing the ad keywords, are bid for and bought. In an embodiment, the system and method may be adapted to automatically purchase advertisements associated with ad words or phrases when the ad words or phrases fall within a desired price range based on their calculated value. By automatically purchasing such advertisements, the return on investment (ROI) for an advertiser may be improved.

Abstract: There is disclosed a system and method for using a knowledge representation to provide relevant information based on environmental inputs. In an embodiment, the system and method considers environmental information from members in a crowd to generate a pool of interests based on the semantic relevance concepts associated with those interests. The most prominent concepts of interest may then be the basis for presenting content to the crowd as a whole. In another embodiment, environmental inputs and other surrounding inputs are considered as a user context. The concepts may be identified as relevant from the environmental context and used to present information relevant to the user given his or her surroundings.

Abstract: A system, method and computer program product in which semi-autonomous agents interact with a semantic network. In a basic embodiment of the system, a data structure providing a semantic network is provided in a non-transitory, computer-readable medium within a computer network. A plurality of computer-implemented agents are deployed within the computer network and interactive with the semantic network. A user interface is provided and configured to permit a user to create and/or modify the semantic network. The agents are configured to read and modify the semantic network without receiving explicit instructions from a user after their initial deployment, whereby the agents operate as assistants to support the user's use of the network.

Abstract: A method and system are provided for triggering a transmittal of an application to a device connected to a host computer. The method comprises: displaying in a web browser on the host computer a list of at least one application available for download to the device; receiving instructions through the web browser to download the application to the device; and in response to receiving instructions to download the application to the device: i) transmitting a request for the application to an application delivery server; ii) receiving the application from the application delivery server at the host computer; and iii) transmitting the application from the host computer to the device.

Abstract: A method (system and computer program product) performs facet classification synthesis to relate concepts represented by concept definitions defined in accordance with a faceted data set comprising facets, facet attributes, and facet attributes hierarchies. Dimensional concept relationships are expressed between the concept definitions. Two concept definitions are determined to be related in a particular dimensional concept relationship by examining whether at least one of explicit relationships and implicit relationships exist in the faceted data set between the respective facet attributes of the two concept definitions.

Abstract: The present invention relates to a system, method and computer program for creating, visualizing and manipulating a data structure using an intuitive and interactive graphical interface. It is operable to display a data structure and enable users to interact with the data structure by means of a user interface. The data structure includes data entities and relationships between the data entities. One or more user context properties are associable with the data entities. The user interface is populated with data entities from the data structure by enabling the users to associate visual properties of the user interface with the user context associable properties of the data structure. This enables the users to interact with the data structure by means of the user interface.

Abstract: The present invention provides a computer network implementable integration of promoted content with non-promoted content before a consumer interaction with the network, such that when the consumer interacts with the network, a consumer generated context interacts with this integrated content to deliver a message to the consumer such that the consumer visualizes this message as part of consumer experience without distracting from the network interaction task at hand. The integration is facilitated by semantic analysis and synthesis to naturally position the promoted content as close to the consumer interaction tasks as possible at that instant. This approach displaces the current practice of matching message to media placement while further enabling a promoter to evaluate and respond to feedback data depicting the efficacy of the sponsor message. The network in question is any computer network such as the Internet or intranet.