Lockheed Martin Corporation

Nbcuniversal Media, LLC

General Electric Company

Baker Hughes Oilfield Operations LLC

Abha Moitra

Steven Matt Gustafson

Robert J Szczerba

Andrew Walter Crapo

Boris Yamrom

Robert Marcel Mattheyses

Louis John Hoebel

Virginia Ann DiDomizio

David Brian Bracewell

T Michael Baylor

Tina H Chau

Bruce Gordon Barnett

Stephen J Dill

Kareem Sherif Aggour

Feng Xue

Ya Xue

Luis Babaji Ng Tari

Aisha Yousuf

Scott Charles Evans

Adam Rasheed

Thomas Stephen Markham

Christina Ann LaComb

Michael Allen Bodkin

John Alan Interrante

Jinfeng Zhang

Ibrahim Gokcen

Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.

Systems and methods for facilitating the gathering of open source intelligence

A hydrocarbon extractor (HE) evaluator system includes a central controller and an HE evaluator model that includes a hierarchical equipment model of heterogeneous HE type, subtype, and property, a plurality of rules arrangeable as a hierarchical equipment rule set, and as a hierarchical well feature rule set, a rules engine, the hierarchical well feature rule set formatted for a multi-factor comparison by the rules engine between heterogeneous HE types from disparate sources applied to the hierarchical equipment model. The rules engine configured to apply rules using class structure and one or more categories to an extracted portion of the hierarchical equipment model to generate results displayable to a user for determination of an HE type suitable for a particular well. A method for evaluating HE types and a non-transitory computer-readable medium containing instructions for a processor to perform the method are also disclosed.

System and method for evaluating heterogeneous hydrocarbon extractor systems for hydrocarbon wells

A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.

Searching for and finding data across industrial time series data

Systems and methods for facilitating open source intelligence gathering

A system for extracting ontological information from a body of text is disclosed. The system parses one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further performs named-entity-recognition by identifying a subset of parsed sentences from the set of parsed sentences. A subset of noun phrases from the subset of parsed sentences are identified and the noun phrases are examined to classify the noun phrases as an entity or as a property. The system also identifies and outputs a conceptual relationship between the entity and the property based at least partially on grammatical relationship of the entity and the property.

System and method for extracting ontological information from a body of text

One website mining embodiment is for characterizing first time users of a website, collecting user session data of the users visiting the website and identifying first time visitors, determining features of the first time visitors utilizing the user session data, determining rules utilizing the features of the first time visitors, monitoring actions of the first time visitors on the website, updating the rules utilizing the monitored actions of the first time visitors and recommending web content utilizing the rules to the first time visitor.

Method and system for mining websites

A method for recommending videos is presented. The method includes generating a cross-usage matrix based upon a data of video sessions for a plurality of videos, generating a temporal matrix based upon release dates of the plurality of videos, generating a cross-temporal matrix based upon the cross-usage matrix and the temporal matrix, computing a global video rank corresponding to each of the plurality of videos based upon the cross-temporal matrix, generating a similarity score corresponding to each pair of videos in the plurality of videos based upon meta-data of the plurality of videos, and generating a local video rank corresponding to each of the plurality of videos relative to another video in the plurality of videos based upon the generated cross-usage matrix, the computed global video rank and the generated similarity score.

Methods and systems for online recommendation

Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

A method and system for web mining and clustering is described. The method includes receiving and dividing input data into a plurality of primitive datasets. Additionally, one or more combinations of the plurality of primitive datasets may be created. Further, a model for each primitive dataset in the plurality of primitive datasets and each of the one or more combinations of the plurality of primitive datasets may be generated. Subsequently, a cost associated with a model corresponding to each primitive dataset in the plurality of primitive datasets, and each of the one or more combinations of the plurality of primitive datasets may be computed. Further, a sum of the costs associated with the models corresponding to each primitive dataset in the plurality of primitive datasets may be compared with the cost associated with each model corresponding to each of the one or more combinations of the plurality of primitive datasets. Finally, the plurality of primitive datasets may be partitioned into one or more clusters based on the comparison of the costs such that each primitive dataset is a part of a cluster in the one or more clusters or a stand-alone primitive dataset.

System and method for web mining and clustering

A method and apparatus that provides information assurance attributes through a data providence architecture is disclosed. The method may include receiving a message having a data provenance wrapper, examining each data provenance record of the message and any attachments for discrepancies, identifying any discrepancies in the examination of each data provenance record of the message and any attachments; calculating a degree of trust based on any discrepancies identified in the examination of each data provenance record of the message and any attachments, and outputting the degree of trust to the user.

Method and apparatus for providing information assurance attributes through a data providence architecture

A method and apparatus that simulates a workflow and analyzes the behavior of information assurance attributes through a data providence architecture is disclosed. The method may include injecting one or more faults into a simulated workflow, receiving a message in the simulated workflow having a data provenance wrapper, examining each data provenance record of the message and any attachments for discrepancies, identifying any discrepancies in the examination of each data provenance record of the message and any attachments; calculating a degree of trust based on any discrepancies identified in the examination of each data provenance record of the message and any attachments, analyzing the calculated degree of trust with respect to the one or more injected faults and the information assurance attributes, and outputting the analysis to a user.

Method and apparatus for simulating a workflow and analyzing the behavior of information assurance attributes through a data providence architecture

A method and apparatus that monitors and analyzes degree of trust and information assurance attributes information in a data providence architecture workflow is disclosed. The method may include receiving a message having a data provenance wrapper, examining each data provenance record of the message and any attachments for discrepancies, identifying any discrepancies in the examination of each data provenance record of the message and any attachments; calculating a degree of trust based on any discrepancies identified in the examination of each data provenance record of the message and any attachments, and presenting the degree of trust and information assurance attributes information to the user on a display.

Method and apparatus for monitoring and analyzing degree of trust and information assurance attributes information in a data providence architecture workflow

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Scotia, NY, United States of America

Abha Moitra