Patents by Inventor Douglas J. McMahon
Douglas J. McMahon has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240144088Abstract: Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.Type: ApplicationFiled: October 26, 2023Publication date: May 2, 2024Inventors: Richard A. Britt, Michael C. Dwyer, Bruce K. McMahon, Roderick A. MacQueen, Douglas J. Sudd, Jeffrey A. Gallino
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Publication number: 20240144089Abstract: Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.Type: ApplicationFiled: October 26, 2023Publication date: May 2, 2024Inventors: Richard A. Britt, Michael C. Dwyer, Bruce K. McMahon, Roderick A. MacQueen, Douglas J. Sudd, Jeffrey A. Gallino
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Publication number: 20240144916Abstract: Disclosed herein is a method for generating insights from words and phrases mapped in high-dimensional space. The method includes obtaining a plurality of communications. The plurality of communications comprise a plurality of words and phrases. Further, the method includes obtaining a model configured through training to cluster word representations of the plurality of communications. The method also includes applying a constraint to at least a group of the plurality of communications to obtain at least one modified group. The constraint is at least one of a keyword, a phrase, or groupings of words in phrases. Once the modified group is determined, the method proceeds to representing the at least one modified group into word representations then determining a category for the at least one modified group.Type: ApplicationFiled: October 26, 2023Publication date: May 2, 2024Inventors: Richard A. Britt, Michael C. Dwyer, Bruce K. McMahon, Roderick A. MacQueen, Douglas J. Sudd, Jeffrey A. Gallino
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Publication number: 20240083066Abstract: A drill bit includes a shank defining a longitudinal axis and a cutting edge extending radially outward relative to the longitudinal axis. The cutting edge is configured to remove material from a workpiece along a cutting path during a cutting operation. The drill bit further includes a plurality of scoring elements positioned within the cutting path and configured to contact the workpiece before the cutting edge during the cutting operation.Type: ApplicationFiled: September 11, 2023Publication date: March 14, 2024Inventors: Douglas W. Allen, Richard A. Hohnl, JR., Zachary M. McMahon, Jacob A. Krabbe, James J. Van Essen, Praneeth Gandi
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Patent number: 11899644Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: GrantFiled: July 8, 2022Date of Patent: February 13, 2024Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Patent number: 11762834Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: GrantFiled: July 8, 2022Date of Patent: September 19, 2023Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Publication number: 20220342864Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: ApplicationFiled: July 8, 2022Publication date: October 27, 2022Inventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Publication number: 20220342865Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: ApplicationFiled: July 8, 2022Publication date: October 27, 2022Inventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Patent number: 11423001Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: GrantFiled: June 17, 2020Date of Patent: August 23, 2022Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Patent number: 11397768Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: GrantFiled: April 17, 2020Date of Patent: July 26, 2022Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Patent number: 11226955Abstract: A “hybrid derived cache” stores semi-structured data or unstructured text data in an in-memory mirrored form and columns in another form, such as column-major format. The hybrid derived cache may cache scalar type columns in column-major format. The structure of the in-memory mirrored form of semi-structured data or unstructured text data enables and/or enhances access to perform path-based and/or text based query operations. A hybrid derived cache improves cache containment for executing query operations. The in-memory mirrored form is used to compute queries in a transactionally consistent manner through the use of an invalid vector that used to determine when to retrieve the transactionally consistent persistent form of semi-structured data or unstructured text data in lieu of the in-memory form.Type: GrantFiled: June 28, 2018Date of Patent: January 18, 2022Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Aurosish Mishra, Shasank K. Chavan, Douglas J. McMahon, Vikas Arora, Hui Joe Chang, Shubhro Jyoti Roy
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Patent number: 11182429Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: GrantFiled: April 17, 2020Date of Patent: November 23, 2021Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Patent number: 11182428Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: GrantFiled: April 17, 2020Date of Patent: November 23, 2021Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Publication number: 20210081389Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.Type: ApplicationFiled: June 17, 2020Publication date: March 18, 2021Inventors: Zhen Hua Liu, Sriram Krishnamurthy, Beda C. Hammerschmidt, Douglas J. McMahon, Hui Joe Chang, Ying Lu, Joshua Spiegel, Srikrishnan Suresh, Vikas Arora, Geeta Arora, Sundeep Abraham, Hui Zhang, Alfonso Colunga Sosa
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Patent number: 10747814Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: GrantFiled: December 20, 2017Date of Patent: August 18, 2020Assignee: Oracle International CorporationInventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Publication number: 20200242156Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: ApplicationFiled: April 17, 2020Publication date: July 30, 2020Inventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Publication number: 20200242158Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: ApplicationFiled: April 17, 2020Publication date: July 30, 2020Inventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Publication number: 20200242157Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: ApplicationFiled: April 17, 2020Publication date: July 30, 2020Inventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora
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Publication number: 20200004736Abstract: A “hybrid derived cache” stores semi-structured data or unstructured text data in an in-memory mirrored form and columns in another form, such as column-major format. The hybrid derived cache may cache scalar type columns in column-major format. The structure of the in-memory mirrored form of semi-structured data or unstructured text data enables and/or enhances access to perform path-based and/or text based query operations. A hybrid derived cache improves cache containment for executing query operations. The in-memory mirrored form is used to compute queries in a transactionally consistent manner through the use of an invalid vector that used to determine when to retrieve the transactionally consistent persistent form of semi-structured data or unstructured text data in lieu of the in-memory form.Type: ApplicationFiled: June 28, 2018Publication date: January 2, 2020Inventors: ZHEN HUA LIU, AUROSISH MISHRA, SHASANK K. CHAVAN, DOUGLAS J. MCMAHON, VIKAS ARORA, HUI JOE CHANG, SHUBHRO JYOTI ROY
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Publication number: 20190102476Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.Type: ApplicationFiled: December 20, 2017Publication date: April 4, 2019Inventors: Zhen Hua Liu, Beda C. Hammerschmidt, Sriram Krishnamurthy, Ying Lu, Douglas J. McMahon, Srividya Tata, Vikas Arora