COGNITIVE SCALE, INC.Download PDFPatent Trials and Appeals BoardSep 14, 20212020002387 (P.T.A.B. Sep. 14, 2021) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 14/729,559 06/03/2015 Matthew Sanchez COGSC-15-001.2 9131 33438 7590 09/14/2021 TERRILE, CANNATTI & CHAMBERS, LLP P.O. BOX 203518 AUSTIN, TX 78720 EXAMINER ALABI, OLUWATOSIN O ART UNIT PAPER NUMBER 2126 NOTIFICATION DATE DELIVERY MODE 09/14/2021 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): USPTO@dockettrak.com celeste@tcciplaw.com tmunoz@tcciplaw.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE ____________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ____________ Ex parte MATTHEW SANCHEZ and DILUM RANATUNGA ___________ Appeal 2020-002387 Application 14/729,559 Technology Center 2100 ____________ Before CARL W. WHITEHEAD JR., MICHAEL J. STRAUSS and IRVIN E. BRANCH, Administrative Patent Judges. WHITEHEAD JR., Administrative Patent Judge. DECISION ON APPEAL STATEMENT OF THE CASE1 Appellant2 is appealing the final rejection of claims 1–12 under 35 U.S.C. § 134(a). See Appeal Brief 5. Claims 1 and 7 are independent. We have jurisdiction under 35 U.S.C. § 6(b). 1 Rather than reiterate Appellant’s arguments and the Examiner’s determinations, we refer to the Appeal Brief (filed September 30, 2019), the Final Action (mailed April 25, 2019) and the Answer (mailed November 18, 2019), for the respective details. Appellant indicates that application 14/729,554 (Appeal Brief 2020-002384) is a related appeal. Appeal Brief 1. 2 Appellant refers to “applicant” as defined in 37 C.F.R. 1.42(a). (“The word Appeal 2020-002387 Application 14/729,559 2 We affirm. Introduction According to Appellant, “[t]he present invention relates in general to the field of computers and similar technologies, and in particular to software utilized in this field. Still more particularly, it relates to a method, system and computer-usable medium for generating and using a universal knowledge repository.” Specification ¶ 2. Representative Claim3 1. A computer-implementable method for managing a universal knowledge repository comprising: receiving streams of data from a plurality of data sources, the plurality of data sources comprising a social data source stored in a social data repository, public data source stored in a public data repository, licensed data source stored in a licensed data repository and proprietary data source stored in a proprietary data repository; ‘applicant’ when used in this title refers to the inventor or all of the joint inventors, or to the person applying for a patent as provided in §§ 1.43, 1.45, or 1.46.”). Appellant identifies Cognitive Scale, Inc. as the real party in interest. Appeal Brief 1. 3 Appellant does not argue independent claims 1 and 7 individually. See Appeal Brief 6 (“[T] he data enriching performs sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, as required by claims 1 and 7.”). Accordingly, we select independent claim 1 as representative. See 37 C.F.R. § 41.37(c)(1)(iv) (“When multiple claims subject to the same ground of rejection are argued as a group or subgroup by appellant, the Board may select a single claim from the group or subgroup and may decide the appeal as to the ground of rejection with respect to the group or subgroup on the basis of the selected claim alone.”). Appeal 2020-002387 Application 14/729,559 3 processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching to provide data enriched data streams, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources; and, storing the data streams and the data enriched data streams within the universal knowledge repository as a collection of knowledge elements, the storing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive computing function comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph enabling the cognitive inference and learning system to render the cognitively processed insights, the universal knowledge repository comprising the cognitive graph; a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources, the cognitive engine comprising a dataset engine, a graph query engine and an insight/learning engine, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into the cognitive Appeal 2020-002387 Application 14/729,559 4 graph, the insight/learning engine being implemented to generate a cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight/learning engine operating collaboratively to generate the cognitive insight; a sourcing agent, the sourcing agent sourcing the data streams and the enriched data streams; and, a destination agent, the destination agent publishing the cognitively processed insights to a consumer of cognitive insight data. References Name4 Reference Date Blaschak US 2013/0204882 A1 August 8, 2013 Chandrasekaran US 2013/0297618 A1 November 7, 2013 Porpora US 2015/0095333 A1 April 2, 2015 Baughman US 2015/0294216 A1 October 15, 2015 Bauer US 2015/0317376 A1 November 5, 2015 Rejections on Appeal Claims 1–12 stand rejected under 35 U.S.C. § 112(b) or 35 U.S.C. § 112 (pre-AIA), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor, or for pre-AIA the applicant regards as the invention. Final Action 4–6. Claims 1–4 stand rejected under 35 U.S.C. § 103 as being unpatentable over Bauer, Chandrasekaran and Porpora. Final Action 7–18. Claims 5 and 6 stand rejected under 35 U.S.C. § 103 as being unpatentable over Bauer, Chandrasekaran, Porpora and Blaschak. Final Action 18–21. 4 All reference citations are to the first named inventor only. Appeal 2020-002387 Application 14/729,559 5 Claims 7–10 stand rejected under 35 U.S.C. § 103 as being unpatentable over Bauer, Baughman, Chandrasekaran and Porpora. Final Action 21–44. Claims 11 and 12 stand rejected under 35 U.S.C. § 103 as being unpatentable over Bauer, Baughman, Chandrasekaran, Porpora and Blaschak. Final Action 44–48. ANALYSIS 35 U.S.C. § 112 rejection Appellant contends, “Claims 1–12 stand rejected under 35 U.S.C. § 112, as indefinite. It is believed the 35 U.S.C. § 112 rejection can be resolved should agreement be reached regarding the rejections over the art.” Appeal Brief 5; see Answer 47–48. Appellant does not argue the merits of the rejection and therefore we summarily sustain the Examiner’s indefiniteness rejection of claims 1–12. See Ex parte Frye, 94 USPQ2d 1072, 1075 (BPAI 2010) (precedential) (“If an appellant fails to present arguments on a particular issue — or, more broadly, on a particular rejection — the Board will not, as a general matter, unilaterally review those uncontested aspects of the rejection. See, e.g., Hyatt v. Dudas, 551 F.3d 1307, 1313–14 (Fed. Cir. 2008) (the Board may treat arguments appellant failed to make for a given ground of rejection as waived)”). 35 U.S.C. § 103 rejections Appellant states: [W]hen discussing the element of processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching to provide data enriched data streams where the data enriching performs sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data Appeal 2020-002387 Application 14/729,559 6 sources, the examiner cites to a combination of Bauer, Chandrasekaran and Porpora. Specifically, the examiner cites to a portion of Bauer which discloses using a co-cluster approach to identify data elements regarding expert and skills associations (see e.g., Bauer, Paragraph [0046]) and finding an expert based upon an expertise area, keyword or topic with context filtering (see e.g., Bauer, Paragraph [0071], a portion of Chandrasekaran which discloses performing a sentiment analysis for an entity using social media data segments (see e.g., Chandrasekaran, Paragraph [0010]) and to a portion of Porpora which discloses generally discloses activity based analytics which includes applying geo-tags to data elements in extracted data (see e.g., Porpora, Paragraph [0019]). Appeal Brief 6; see Final Action 7, 8, 11 and 13–15. Appellant contends: It is respectfully submitted that nowhere within the cited portions of Bauer (nor anywhere else in Bauer) is there any disclosure or suggestion of a cognitive inference and learning system as disclosed and claimed, much less a cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph enabling the cognitive inference and learning system to render the cognitively processed insights, the universal knowledge repository comprising the cognitive graph; a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources, the cognitive engine comprising a dataset engine, a graph query engine and an insight/learning engine, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into the cognitive graph, the insight/learning engine being implemented to generate a cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight/learning engine operating collaboratively to generate the cognitive insight; a sourcing agent, the sourcing agent sourcing the data streams and the enriched data streams; and, a destination agent, the destination agent publishing the cognitively processed insights to a consumer of cognitive insight Appeal 2020-002387 Application 14/729,559 7 data, as required by claim 1 and as substantially required by claim 7. These deficiencies of Bauer are not cured by Chandrasekaran, Baughman or Porpora, alone or in combination. Appeal Brief 7. Additionally, when discussing the elements of the universal knowledge repository comprises a cognitive graph, the cognitive graph comprising a representation of expert knowledge, associated with individuals and groups over a period of time, to depict relationships between people, places and things, the cognitive graph comprising a machine-readable formalism for knowledge representation, the cognitive graph providing a common framework allowing data and knowledge to be shared and reused across user, application, organization and community boundaries, the examiner cites to the expert skill matrix of Bauer. However, it is respectfully submitted that the cognitive graph as disclosed and claimed is patentably distinct from the expert skill matrix of Bauer. Appeal Brief 7–8. Appellant concludes, “Accordingly, claims 1 and 7 are allowable over Bauer, Chandrasekaran, Baughman and Porpora. Claims 2-6 depend from claim 1 and are allowable for at least this reason. Claims 8-12 depend from claim 7 and are allowable for at least this reason.” Appeal Brief 7. Appellant also concludes: Bauer, Chandrasekaran, Baughman and Porpora taken alone or in combination, do not disclose or suggest a cognitive graph as disclosed and claimed, much less the cognitive graph comprising a representation of expert knowledge, associated with individuals and groups over a period of time, to depict relationships between people, places and things, much less the cognitive graph comprising a machine-readable formalism for knowledge representation, much less the cognitive graph providing a common framework allowing data and knowledge to be shared and reused across user, application, organization and community boundaries, all as required by claim 6 and as substantially required by claims 11 and 12. Accordingly, claims 6, 11 and 12 are allowable Appeal 2020-002387 Application 14/729,559 8 over Bauer, Chandrasekaran, Baughman and Porpora for at least these additional reasons. Appeal Brief 8. We find Appellant’s arguments unpersuasive of Examiner error because the arguments do not address the Examiner’s rejection with any specificity. See 37 CFR § 41.37(c)(1)(iv) (“The arguments shall explain why the examiner erred as to each ground of rejection contested by appellant.); see also Final Action 7–48. Appellant lists a myriad of claim limitations and contends that none of “the cited portions of Bauer (nor anywhere else in Bauer)” discloses the listed claim limitations without proffering any explanation as to why Bauer and/or any of the other cited references (Baughman, Chandrasekaran, Porpora and Blaschak) fail to discloses the listed claim limitations. Appeal Brief 7–8; see In re Jung, 637 F.3d 1356, 1365 (Fed. Cir. 2011) (affirming because Appellant “merely argued that the claims differed from [the prior art], and chose not to proffer a serious explanation of this difference”); see also In re Baxter Travenol Labs., 952 F.2d 388, 391 (Fed. Cir. 1991) (“It is not the function of this court to examine the claims in greater detail than argued by an appellant, looking for [patentable] distinctions over the prior art.”). Accordingly, we affirm the Examiner’s obviousness rejections of claims 1–12. Appeal 2020-002387 Application 14/729,559 9 CONCLUSION Claims Rejected 35 U.S.C. § Reference(s)/Basis Affirmed Reversed 1–12 112 Indefiniteness 1–12 1–4 103 Bauer, Chandrasekaran, Porpora 1–4 5, 6 103 Bauer, Chandrasekaran, Porpora, Blaschak 5, 6 7–10 103 Bauer, Baughman, Chandrasekaran, Porpora 7–10 11, 12 103 Bauer, Baughman, Chandrasekaran, Porpora, Blaschak 11, 12 Overall Outcome 1–12 No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a)(1). See 37 C.F.R. § 1.136(a)(1)(v). AFFIRMED Copy with citationCopy as parenthetical citation