Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

An intelligent framework is provided that is disposed between a high-level language environment and a database system environment According to one embodiment, the framework programmatically receives information regarding definitions of data structures of objects participating in a software application and information regarding relationships among the objects Based upon the particular request from the high-level language environment and upon the definitions and relationships, the framework programmatically and dynamically generates appropriate statements associated with the database system environment that accomplish the request For example, the framework may issue statements to define the structure of a database, access information from the database, and/or manipulate information within the database

Software framework that facilitates design and implementation of database applications

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Method and apparatus for building an intelligent automated assistant

Methods for generating auxiliary data operations for a role-based personalized business user workplace based on business processes includes analyzing a work-low of a business process to specify business items as an input or output of a task in the business process; identifying data operations for each one of the business items by examining associated attributes and usage of the business item; categorizing the data operations by associating common data operations to the business items, and attaching specific data operations based on the context of the workflow and use by particular business item instances of the business item; and assigning a user role for access to the business items.

Methods for Generating Auxiliary Data Operations for a Role Based Personalized Business User Workplace

A method for role-based personalization of a collaborative space can include generating a collaborative space utilizing role information for an interacting user that has been defined by an underlying business process model in a workflow. For example, the step of generating a collaborative space can include parsing the workflow to extract a role model, generating a collaborative space domain model from the role model, selecting a plurality of user interface components based upon the role model, organizing the selected user interface components in the collaborative space, and rendering the collaborative space.

Dynamically configuring a role-based collaborative space

A business process attempts to encapsulate the delivery of a sequence of tasks, typically starting from accepting a service request and ending at certain points, such as the completion of the service. We propose a model-driven business process recovery framework that captures the essential functional features representing a business process. The framework utilizes static tracing techniques and a number of heuristics to map source code entities to high-level business process entities. A case study is preformed to recover IBM/spl reg/ WebSphere/spl reg/ Business Integration business processes from IBM WebSphere Commerce code. The experimental result demonstrates the effectiveness of the proposed framework.

https://www.softlab.ntua.gr/~kkontog/publications/conferences/C1-2004.pdf

Model-driven business process recovery

A computer system providing a framework for mapping relational tables to object oriented classes. The framework includes an attribute class for defining data corresponding to columns in a relational table and including data objects used to map between the relational table and a programmer-defined object oriented class. The attribute class also including flags used to indicate modifications to the data. The framework further includes a generator class providing methods for generating SQL text corresponding to the relational table as defined in the attribute class objects for a given table.

Mapping relational tables to object oriented classes

A recommendation system includes a rule system for which defined recommendation system interfaces are available The recommendation system interfaces are used in the action portion of predicate-action rules in the rule system to invoke non-rule-based systems The non-rule-based systems provide recommendations to the rule system based on information passed to the non-rule-based systems on invocation and based on data made available to the non-rule-based systems The rule system establishes a event-listener connection with the non-rule-based system to provide a data feed to the non-rule-based system

Tack Tong

Papers

Methods for Generating Auxiliary Data Operations for a Role Based Personalized Business User Workplace

Dynamically configuring a role-based collaborative space

Model-driven business process recovery

Mapping relational tables to object oriented classes

Rule-based personalization framework for integrating recommendation systems