Ntt Docomo, Inc.

Pero Subasic

Hongfeng Yin

Yoshikazu Akinaga

Hyung Sik Shin

Sayandev Mukherjee

Ronald Sujithan

Yang Sun

Trung Diep

A system, a method, and a medium are provided to use Freebase as a source of structured data to construct a knowledge database with Resource Description Framework (RDF) triples and determine encoded entities responsive to structured queries.

Knowledge engine for managing massive complex structured data

Methods and systems described herein may perform a word-level encryption and a sentence-level encryption of one or more documents. The word-level encryption and the sentence-level encryption may be performed with an encryption key generated by a client device. A document indexer is stored in the one or more storage networks. The document indexer includes encrypted word frequencies and encrypted word position identifiers based on the encrypted words of the one or more encrypted documents. The client device receives search terms and encrypts the search terms with the encryption key. The one or more encrypted documents are identified in the one or more storage networks based on searching with the encrypted search terms and at least one of the encrypted word frequencies and/or the encrypted word position identifiers.

Secure text retrieval

A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Generating resources for support of online services

A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

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Los Altos, CA, United States of America

Pero Subasic