International Business Machines Corporation

Salesforce Com, Inc.

Salesforce, Inc.

Diffeo, Inc.

David Zachary Maze

John Randolph Frank

Andrew Richard Gallant

Max Kleiman-Weiner

Thomas Michael DuBois

Daniel Adam Roberts

Heather D Achilles

Steven R Willis

Eugene Kuznetsov

Nicholas D Matsakis

Charles Robert Morgan

Henry Forrest Leanna Wallace

Brian Andrew Olson

Aaron Michael Taylor

Jason Rastrick Briggs

Kevin John Doyle

Cogan Dwayne Culver

Keith Michael Gabryelski

Andrew Wilson Haskell

Geoffrey Ira Milstein

Emily Brooks Pavlini

Joshua Joseph Marco Belanich

Jeffrey M Peters

Joseph H Allen

Moshe M E Matsa

A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Knowledge operating system

A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Entity-centric knowledge discovery

A memory allocation message for each primary memory allocation in a primary memory made by a primary processor is received at a hardware memory management module. A representation of each primary memory allocation is allocated within a second memory in response to each memory allocation message. A determination is made, based upon the allocated representations of each primary memory allocation within the second memory, to free a primary memory allocation in the primary memory. A memory free message is sent to the primary processor instructing the primary processor to free the primary memory allocation in the primary memory.

Hardware off-load memory garbage collection acceleration

Systems, methods and apparatus operate to receiving a markup processing program containing a set of markup processing instructions. Each markup processing instruction includes an operation defining a processing operation to be matched to a markup language representation and a corresponding action to be performed upon matching the operation to the markup language representation. The system receives the markup language representation containing encoded items representative of markup language constructs and executes the markup processing program in conjunction with the markup language representation to dynamically control generation of an output control signal indicating how the markup language representation is to be processed for generation of output based on the markup language representation. The markup processing program is applied in real-time to streaming XML data and represents logic instructions that carry out application of post processing such as XPATH expression evaluation, schema validation or other post processing on the stream of XML data.

Method and apparatus for stream based markup language post-processing

Growing community of inventors

Somerville, MA, United States of America

David Zachary Maze