Abstract: A system and method that enables the collaborative creation and editing of content on a VoiceSite over a telephone. The system and method enables the collaborative creation and editing of content on the VoiceSite by allowing one or multiple users (authors) to generate and edit the content of the VoiceSite at the same or different times. A Collaboration Manager is utilized to manage calls to/from one or more users. A VoiGen component utilizes voice-activated prompts to allow the one or more users to perform at least one of specify user preferences, load templates, store user preferences and service options, parse through obtained data, and generate/edit the VoiceSite based on the inputs provided by the one or multiple users. A Session Manager stores user specific information and ensures that the content provided by multiple users, including edits/changes, is integrated without conflicts.

Abstract: Data pertaining to interactions between a plurality of customers is obtained. A graph is formed, having a plurality of nodes representing the customers and a plurality of edges representing interactions between the customers. A sub-set of the customers are denoted as previously churned customers. A spreading activation model is applied to the graph to identify, based on the graph and the previously churned customers, the potential churning customers.

Abstract: Data pertaining to interactions between a plurality of customers is obtained. A graph is formed, having a plurality of nodes representing the customers and a plurality of edges representing interactions between the customers. A sub-set of the customers are denoted as previously churned customers. A spreading activation model is applied to the graph to identify, based on the graph and the previously churned customers, the potential churning customers.

Abstract: A method for enabling voice driven interactions among multiple interactive voice response (IVR) systems begins by receiving a telephone call from a user of a first IVR system to begin a transaction; and, automatically contacting, by the first IVR system, at least one additional IVR system. Specifically, the contacting of the additional IVR system includes assigning tasks to the additional IVR system. The tasks require input from the user and the additional IVR system is secure and separate from the first IVR system. Moreover, the tasks can include a transfer of currency and a transfer of local information.

Abstract: Embodiments of the invention provide systems, methods, apparatuses and program products providing methods to define and find relationships in network environments. Embodiments of the invention utilize relationship definitions for defining network environment relationships as star structures within the network of interest and automatically discover these star structures in networks.

Abstract: Embodiments of the invention provide a non-web based social networking system enabling users having limited Internet connectivity and/or limited access to high end mobile computing devices a cross networking opportunity with web-based social networking sites. Embodiments of the invention provide for additional communication modalities between social networking users, including but not limited to non-web based communication between the social networking users.

Abstract: Techniques for enriching a taxonomy using one or more additional taxonomies are provided. The techniques include receiving two or more taxonomies, wherein the two or more taxonomies comprise a destination taxonomy and one or more additional taxonomies, determining one or more relevant portions of the two or more taxonomies by identifying one or more common terms between the two or more taxonomies, importing one or more relevant portions from the one or more additional taxonomies into the destination taxonomy, and using the one or more imported taxonomy portions to enrich the destination taxonomy.

Abstract: The method makes use of a given ontology to select keywords representative of a given document. The method finds all the terms in an ontology that occur in a document, and computes their frequency of occurrences in the document. The method then propagates these values from the leaves upwards to the root of the ontology during which it weights them. The method then selects a subset of terms of the ontology structure as keywords representative of the document based on these weights.

Abstract: The call flow of a user is modified based on the user's situation. A set of context-specific information regarding a user is collected, without prompting the user for this context-specific information within a call with the user. For instance, the context-specific information can include locational information regarding the user, weather information at the current location of the user, traffic information at the user's current location, proximity information of the user to a given transportation mode (airport, train station, and so on), as well as user preferences information. The situation of the user is determined based on the set of context-specific information collected, and the call flow of voice prompts to the user within the call is modified based on the situation determined.

Abstract: Data pertaining to interactions between a plurality of customers is obtained. A graph is formed, having a plurality of nodes representing the customers and a plurality of edges representing interactions between the customers. A sub-set of the customers are denoted as previously churned customers. A spreading activation model is applied to the graph to identify, based on the graph and the previously churned customers, the potential churning customers.

Abstract: Data pertaining to interactions between a plurality of customers is obtained. A graph is formed, having a plurality of nodes representing the customers and a plurality of edges representing interactions between the customers. A sub-set of the customers are denoted as previously churned customers. A spreading activation model is applied to the graph to identify, based on the graph and the previously churned customers, the potential churning customers.

Abstract: A method for enabling voice driven interactions among multiple interactive voice response (IVR) systems begins by receiving a telephone call from a user of a first IVR system to begin a transaction; and, automatically contacting, by the first IVR system, at least one additional IVR system. Specifically, the contacting of the additional IVR system includes assigning tasks to the additional IVR system. The tasks require input from the user and the additional IVR system is secure and separate from the first IVR system. Moreover, the tasks can include a transfer of currency and a transfer of local information.

Abstract: The adaptation precedence of an application (or order of adaptation of various components) is given as a directed acyclic graph (DAG), with each vertex being an atomic unit of adaptation, or a component which comprises of atomic units of adaptation. Each such component has an associated DAG specifying the order of adaptation with vertices as sub-components. Relations among sub-components and associated actions are stored as a table. The relations between sub-components of different components follow a set of constraints in order to be compatible relations. A linear order from the partial order is created as represented by the DAG and follows that order for adaptation of each component. Each component x is adapted atomically and then the table of relations is updated appropriately. As and when a component y is to be adapted, the table is looked-up and it is determined which relations and actions are to be enforced upon y while its adaptation is being executed.

Abstract: The method makes use of a given ontology to select keywords representative of a given document. The method finds all the terms in an ontology that occur in a document, and computes their frequency of occurrences in the document. The method then propagates these values from the leaves upwards to the root of the ontology during which it weights them. The method then selects a subset of terms of the ontology structure as keywords representative of the document based on these weights.

Abstract: A system is described for processing voice applications comprising a client device (10) having associated data indicative of its computing capability. The system has access to a plurality of scripts specifying tasks to be performed in a voice-based dialog between a user and the system. The scripts are interpretable at a browser level. A server (20) selects an appropriate script for the client device (10) based on the associated data. An interpreter layer processes the selected script to determine a first set of instructions to be performed on the client device (10) and a second set of instructions to be performed on the server (20) for the dialog. Computation is thus shared between the client device and the server based on the computational capability of the client.

Abstract: The call flow of a user is modified based on the user's situation. A set of context-specific information regarding a user is collected, without prompting the user for this context-specific information within a call with the user. For instance, the context-specific information can include locational information regarding the user, weather information at the current location of the user, traffic information at the user's current location, proximity information of the user to a given transportation mode (airport, train station, and so on), as well as user preferences information. The situation of the user is determined based on the set of context-specific information collected, and the call flow of voice prompts to the user within the call is modified based on the situation determined.

Abstract: A method and a system for dynamically specifying exceptions and exception handlers for an application written in any computer language, which has exception handling facility, are described. The present decouples the exception handling logic from the application and thereby can be used to alter the behavior of the program/module/application as well as to define new types of exceptions at runtime. The decoupling of the exception handler logic eliminates the language dependence of the application and further helps in customizing the behavior of the application when they are being deployed in new environments. Moreover dynamic exception handling is not operating system dependent.

Abstract: A Web services-oriented service provider middleware architecture and implementation is provided that integrates the performance monitoring of individual CPs, along with other dynamic contextual conditions, in the automatic selection of appropriate CPs. In the architecture, a CP's performance is evaluated not only in terms of network or service-level parameters, but also via other business processes (e.g., complaint handling). The selection of multiple Web services occurs through an initial filtering of a set of feasible workflows for each task depending on business agreements and end user needs, and a subsequent dynamic context-based selection of the most appropriate workflow. A workflow filtering and ranking engine uses metarules to guide the optimisation process and help in selecting and ranking the feasible workflows. The component services in the workflows are evaluated by evaluator processes of information sources. The workflow engine outputs the workflows in their preference ranking.

Abstract: The adaptation precedence of an application (or order of adaptation of various components) is given as a directed acyclic graph (DAG), with each vertex being an atomic unit of adaptation, or a component which comprises of atomic units of adaptation. Each such component has an associated DAG specifying the order of adaptation with vertices as sub-components. Relations among sub-components and associated actions are stored as a table. The relations between sub-components of different components follow a set of constraints in order to be compatible relations. A linear order from the partial order is created as represented by the DAG and follows that order for adaptation of each component. Each component x is adapted atomically and then the table of relations is updated appropriately. As and when a component y is to be adapted, the table is looked-up and it is determined which relations and actions are to be enforced upon y while its adaptation is being executed.

Abstract: A given ontology is used to disambiguate one or more terms in a given document. The document is first scanned and the frequency of occurrence of the terms of the ontologies that occur in the document is computed. A unique path is selected to the ambiguous term in the ontology using the frequency of occurrence values in such a manner so as to select the most appropriate context for the ambiguous term in the document.