International Business Machines Corporation

Eolas Technologies Incorporated

University of California

David Charles Martin

Michael D Doyle

Cheong S Ang

Shivakumar Vaithyanathan

Natalie Brooks Powell

Ho-Yiu Lam

Timothy T Bohn

Gary W Crupi

Sandhya ReddyVeera

William Scott Spangler

Richard D Hennessy

Steven Kenneth Howard

Mark Earl Paul Plutowski

Richard D Dettinger

Dharmendra S Modha

Robert R Friedlander

Robert Lee Angell

Jeffrey Thomas Kreulen

Jeffrey James Jonas

James J Rhodes

Mark Earl Plutowski

James William Cooper

Tapas Kanungo

Stephen Kane Boyer

W Scott Spangler

Herschel J R Weintraub

Kevin R Wheeler

David Hilton Wolpert

Hansel Joseph Miranda

Dharmendra Shantilal Mohda

A telecommunications system, that after a communication is established by a first electronic communication device and a second electronic communication device, while the conversation is ongoing between a first person using the first electronic communication device and a second person using the second electronic communication device, responsive to content of converted text based on a plurality of words spoken, route the content to a cloud-based phone recognition and entity identification, annotation, and relevance processing resource, to enable display of information related to the content by at least one of the first electronic communication device and the second electronic communication device.

Method and apparatus for automatically identifying and annotating auditory signals from one or more parties

A telecommunications system, that after a communication is established by a first electronic communication device and a second electronic communication device, receives digital auditory data corresponding to an ongoing conversation between a first person using the first electronic communication device and a second person using the second electronic communication device, uses that digital auditory data to enable transformation of an information knowledge model, and utilizes the information knowledge model to suggest information for the ongoing conversation.

In one embodiment, a mobile device application automatically identifies and annotates auditory data of a conversation between two or more parties. Digital auditory data is processed to identify at least one fact from the auditory data of the conversation. An identified fact is annotated, based on context and relevance, to search remotely-accessible data for information associated with the identified fact. The information is displayed while the conversation is ongoing to enable verification of the identified fact.

Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.

Waste analysis system and method

In one embodiment, a mobile device application automatically identifies and annotates auditory signals from one or more parties.

In one embodiment, a mobile device application automatically identifies and annotates auditory data of a conversation between two or more parties. Digital auditory data is processed to identify mention of specific entities. An identified entity is annotated, based on context and relevance, to list one or more actions possible to perform with or on the identified entity, and the identified entity displayed while the conversation is ongoing. An action is selected by signals from an input interface.

A system and method for processing a document to generate a set of related documents. A system is provided that includes a textual analytics system that analyzes unstructured data contained in a source document and extracts a set of structured information about the source document; and a compare system that identifies a set of related documents by comparing the set of structured information with metadata indexed from a set of publications.

System and method for using text analytics to identify a set of related documents from a source document

At least one file containing information is transferred across a distributed network environment. The information allows at least one application configured to execute on at least one client workstation to display a portion of a distributed hypermedia document within a browser-controlled window, to respond to text formats to initiate processing specified by the text formats, to identify an embed text format which corresponds to a first location in the distributed hypermedia document and to automatically invoke program code being part of a distributed application located on two or more computers coupled to the distributed hypermedia network, in response to the identifying of the embed text format, in order to enable an end-user to directly interact with an object when the object is displayed within a display area created at the first location within the portion of the distributed hypermedia document being displayed in the browser-controlled window.

Distributed hypermedia method and system for automatically invoking external application providing interaction and display of embedded objects within a hypermedia document

Techniques are disclosed for determining Business Intelligence (BI) tools and/or abstract queries that use similar semantic concepts. A semantics table standardizes semantic concepts across both BI tools and a data abstraction model. A BI concept repository maps BI tools to semantic concepts used by the BI tools. A BI tool and/or an abstract query is recommended to the user, on the basis of the semantic concepts.

Semantic model association between data abstraction layer in business intelligence tools

A system allowing a user of a browser program on a computer connected to an open distributed hypermedia system to access and execute an embedded program object. The program object is embedded into a hypermedia document much like data objects. The user may select the program object from the screen. Once selected the program object executes on the user's (client) computer or may execute on a remote server or additional remote computers in a distributed processing arrangement. After launching the program object, the user is able to interact with the object as the invention provides for ongoing interprocess communication between the application object (program) and the browser program. One application of the embedded program object allows a user to view large and complex multi-dimensional objects from within the browser's window. The user can manipulate a control panel to change the viewpoint used to view the image. The invention allows a program to execute on a remote server or other computers to calculate the viewing transformations and send frame data to the client computer thus providing the user of the client computer with interactive features and allowing the user to have access to greater computing power than may be available at the user's client computer.

A user wishes to view a record, such as one that includes a person's medical history, located in a record storage area. In order to prevent the user from viewing records other than the specific record in which the user is interested, a record selection manager iteratively requests attribute information from the user to disambiguate which record to provide until the record selection manager identifies a reduction completion result, which the record selection manager then provides to the user. Using the invention described herein, the record selection manager conceals records included in the records storage area until it identifies a reduction completion result and, at that point, the record selection manager provides only the reduction completion result to the user to view.

Growing community of inventors

San Jose, CA, United States of America

David Charles Martin