Patents by Inventor Charles-Olivier Simard
Charles-Olivier Simard 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).
-
Publication number: 20230315773Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: ApplicationFiled: June 7, 2023Publication date: October 5, 2023Inventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Publication number: 20230297602Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: ApplicationFiled: May 23, 2023Publication date: September 21, 2023Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Patent number: 11720618Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: GrantFiled: January 25, 2022Date of Patent: August 8, 2023Assignee: Open Text CorporationInventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Patent number: 11698920Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: GrantFiled: June 15, 2021Date of Patent: July 11, 2023Assignee: Open Text SA ULCInventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Publication number: 20220277030Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.Type: ApplicationFiled: May 16, 2022Publication date: September 1, 2022Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Patent number: 11361007Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.Type: GrantFiled: May 13, 2019Date of Patent: June 14, 2022Assignee: OPEN TEXT SA ULCInventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Publication number: 20220147544Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: ApplicationFiled: January 25, 2022Publication date: May 12, 2022Inventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Patent number: 11238079Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: GrantFiled: February 11, 2019Date of Patent: February 1, 2022Assignee: OPEN TEXT CORPORATIONInventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Publication number: 20210311974Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: ApplicationFiled: June 15, 2021Publication date: October 7, 2021Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Patent number: 11042573Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: GrantFiled: April 1, 2019Date of Patent: June 22, 2021Assignee: Open Text S.A. ULCInventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Publication number: 20190266180Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.Type: ApplicationFiled: May 13, 2019Publication date: August 29, 2019Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Publication number: 20190228026Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: ApplicationFiled: April 1, 2019Publication date: July 25, 2019Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Patent number: 10331714Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.Type: GrantFiled: November 13, 2013Date of Patent: June 25, 2019Assignee: Open Text SA ULCInventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Publication number: 20190179843Abstract: In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: ApplicationFiled: February 11, 2019Publication date: June 13, 2019Inventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Patent number: 10282372Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: GrantFiled: March 2, 2016Date of Patent: May 7, 2019Assignee: Open Text SA ULCInventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier
-
Patent number: 10235453Abstract: An auto-classification system and method provides dynamic user feedback in a guide that is presented to the user. The feedback presented in the guide enables the user to refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: GrantFiled: May 6, 2016Date of Patent: March 19, 2019Assignee: Open Text CorporationInventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Publication number: 20160253412Abstract: An auto-classification system and method provides dynamic user feedback in a guide that is presented to the user. The feedback presented in the guide enables the user to refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: ApplicationFiled: May 6, 2016Publication date: September 1, 2016Inventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Publication number: 20160179933Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: ApplicationFiled: March 2, 2016Publication date: June 23, 2016Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Deligia, Jean-Michel Texier
-
Patent number: 9348899Abstract: An auto-classification system and method provides dynamic user feedback in a guide that is presented to the user. The feedback presented in the guide enables the user to refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.Type: GrantFiled: October 31, 2012Date of Patent: May 24, 2016Assignee: OPEN TEXT CORPORATIONInventors: Charles-Olivier Simard, Alex Bowyer, Daniel Leclerc, Steve Molloy
-
Patent number: 9298816Abstract: Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.Type: GrantFiled: July 22, 2011Date of Patent: March 29, 2016Assignee: Open Text S.A.Inventors: Pascal Dimassimo, Steve Pettigrew, Martin Brousseau, Charles-Olivier Simard, Eric Williams, Francis Lacroix, Alex Dowgailenko, Agostino Deligia, Jean-Michel Texier