Google Inc.Download PDFPatent Trials and Appeals BoardDec 9, 20202019004940 (P.T.A.B. Dec. 9, 2020) 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. 13/830,526 03/14/2013 John R. Provine 16113-4276001 5684 26192 7590 12/09/2020 FISH & RICHARDSON P.C. PO BOX 1022 MINNEAPOLIS, MN 55440-1022 EXAMINER HEFFERN, JAMES E ART UNIT PAPER NUMBER 2158 NOTIFICATION DATE DELIVERY MODE 12/09/2020 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): PATDOCTC@fr.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE ____________________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ____________________ Ex parte JOHN R. PROVINE ____________________ Appeal 2019-004940 Application 13/830,526 Technology Center 2100 ____________________ Before JEREMY J. CURCURI, JUSTIN BUSCH, and ROBERT J. SILVERMAN, Administrative Patent Judges. BUSCH, Administrative Patent Judge. DECISION ON APPEAL Pursuant to 35 U.S.C. § 134(a), Appellant1 appeals from the Examiner’s decision to reject claims 1–20, 22, and 23, which constitute all the claims pending. We have jurisdiction over the pending claims under 35 U.S.C. § 6(b). We reverse. 1 We use the term “Appellant” to refer to “applicant” as defined in 37 C.F.R. § 1.42. Appellant identifies the real party in interest as Google LLC. Appeal Br. 1. Appeal 2019-004940 Application 13/830,526 2 STATEMENT OF THE CASE Introduction The invention generally relates to determining whether to display data, such as “knowledge panels,” along with search results. Spec. 1:7–8, 5:16–17. “A knowledge panel is a user interface element that provides a collection of information or other content related to a particular entity referenced by a search query.” Spec. 5:17–18. Claims 1, 11, and 18 are independent claims. Claim 1 is reproduced below: 1. A method performed by data processing apparatus, the method comprising: receiving a query from a client device; obtaining search results that are responsive to the received query; identifying two different factual entities that each correspond to the received query and that are both identified using a same word; determining, for each of the two identified factual entities, a topicality score that specifies a measure of topical relatedness between the factual entity and content presented by resources linked to by the obtained search results; selecting, from among the two different factual entities, a particular factual entity for which a knowledge panel is to be provided with the obtained search results based, at least in part, on the topicality score for each of the two factual entities, the knowledge panel for the particular factual entity including a plurality of different types of content for the particular factual entity, the plurality of different types of content including at least one content item, for the particular factual entity, received from a first resource and at least one content item, for the particular factual entity, received from a second resource different than the first resource; determining that the knowledge panel for the particular factual entity is to be provided with the obtained search results, the determination being based, at least in part, on content of the knowledge panel and characteristics of the obtained search Appeal 2019-004940 Application 13/830,526 3 results, the characteristics including a performance of one or more resources referenced by the identified search results when search results that reference the one or more resources were provided in response to the received query; and providing, to the client device, data that presents the knowledge panel at the client device. The Pending Rejections Claims 1, 2, 6, 9–12, 15, 18, 19, 22, and 23 stand rejected under 35 U.S.C. § 103 as obvious in view of Azzam (US 2008/0027888 A1; Jan. 31, 2008), Donmez (US 2013/0159272 A1; June 20, 2013), Baron (US 2010/0076972 A1; Mar. 25, 2010), and Berntson (US 2012/0059838 A1; Mar. 8, 2012). Final Act. 3–39, 42–44. Claims 3–5, 13, 14, and 20 stand rejected under 35 U.S.C. § 103 as obvious in view of Azzam, Donmez, Baron, Berntson, and Ando (US 2005/0096897 A1; May 5, 2005). Final Act. 39–42. Claims 7, 8, 16, and 17 stand rejected under 35 U.S.C. § 103 as obvious in view of Azzam, Donmez, Baron, Berntson, and Vinay (US 2014/0059042 A1; Feb. 27, 2014). Final Act. 45–48. ANALYSIS The Examiner finds the combination of Azzam, Donmez, Baron, and Berntson teaches or suggests every limitation recited in independent claims 1, 11, and 18. Final Act. 3–33. Of particular relevance to this Appeal, the Examiner finds Azzam teaches or suggests “determining that the knowledge panel . . . is to be provided . . . based, at least in part, on . . . a performance of one or more resources referenced by the identified search results when search results that reference the one or more resources were provided in response to the received query” (the “disputed limitation”), as recited in Appeal 2019-004940 Application 13/830,526 4 independent claims 1, 11, and 18. Final Act. 4 (citing Azzam ¶¶ 25–27, 37, 40, 41, Fig. 6, Table 1), 14, 24. Specifically, the Examiner finds Azzam assigns scores to factual descriptions from multiple documents based on linguistic constituents and semantics and, if a particular factual description’s score exceeds a threshold, presents the factual description in a presentation operation. Final Act. 4, 14, 24; Ans. 7–8 (finding that, because Azzam’s fact extraction tool recognizes factual descriptions in documents based on determining linguistic constituents of the factual descriptions, Azzam teaches the disputed limitation). The Examiner finds Azzam “associate[s] a performance of the resources” because Azzam teaches associating words in a table with an appropriate part of speech “to provide optimal processing performance.” Ans. 4 (quoting Azzam ¶ 27) (emphasis omitted). The Examiner finds that Azzam’s processing performance teaches the recited “performance of one or more resources referenced by the identified search results” and Appellant argues limitations not recited in the claims. Ans. 6 (citing Azzam ¶¶ 27, 37). The Examiner finds Azzam’s list of extracted facts provided with the search results teaches the recited “when search results that reference the one or more resources were provided in response to the received query.” Ans. 7 (citing Azzam, Fig. 6). Appellant argues the Examiner dissects the disputed limitation to find that Azzam teaches discrete portions of the disputed limitation in isolation, but the rejection fails to address the disputed limitation as a whole. Reply Br. 1–2. Among other arguments, Appellant asserts Azzam’s processing performance “is a measure of performance of a ‘fact extraction tool’ that Appeal 2019-004940 Application 13/830,526 5 uses the ‘table’ to ‘find words or phrases’ in a document that matches ‘those of the fact-word-table,’” which does not teach or suggest the performance of a resource when a search result referencing the resource is provided. Appeal Br. 9–10. Appellant also argues the cited “processing performance” does not teach the disputed limitation because Azzam’s processing performance is not used to determine anything, let alone determine that a knowledge panel is to be provided, as recited in the claims. Appeal Br. 10. Appellant contends Azzam cannot teach using the processing performance to determine anything because, although Azzam mentions optimizing performance, Azzam never actually evaluates or determines the performance such that the performance could be a condition for determining any other action—namely providing a knowledge panel. Appeal Br. 10. Appellant also asserts the Examiner’s findings—that (1) Azzam’s cited processing performance teaches the performance portion of the disputed limitation and (2) Azzam’s list of extracted facts teaches “when search results that reference the one or more resources were provided in response to the received query”—further demonstrate that the Examiner improperly dissects the disputed limitation. In particular, Appellant argues the Examiner’s finding that the extracted facts teach the latter half of the disputed limitation ignores the entire first portion of the disputed limitation—i.e., that the claim conditions display of its knowledge panel on determining that the “performance of one or more resources referenced by the identified search results.” Reply Br. 1–2. Moreover, Appellant asserts that Azzam does not determine whether to provide section 608 (the set of extracted facts that Azzam presents with the search result), which the Examiner finds teaches the knowledge panel, see Final Act. 4 (citing Azzam Appeal 2019-004940 Application 13/830,526 6 ¶ 41, Fig. 6), based on the performance of resources referenced by Azzam’s “list of documents 604,” which the Examiner finds teaches the resources referenced by the identified search results, see Final Act. 4 (“The extraction tool attempts to recognize a set of factual descriptions (factual entities) from multiple documents (first and second resources),” (emphasis added)). We agree with Appellant. Even accepting the Examiner’s findings that Azzam’s extracted factual descriptions teach or suggest the recited factual entities and Azzam’s multiple documents teach or suggest the recited one or more resources, the rejection is problematic. First, it is unclear from the Examiner’s findings and explanation what disclosures in Azzam teach or suggest the disputed language. “When a reference is complex or shows or describes inventions other than that claimed by the applicant, the particular part relied on must be designated as nearly as practicable” and “[t]he pertinence of each reference, if not apparent, must be clearly explained and each rejected claim specified.” 37 C.F.R. § 1.104(c)(2) (emphases added). An agency is bound by its own regulations. See Service v. Dulles, 354 U.S. 363, 388 (1957). Specifically, in reviewing the Examiner’s findings and explanations, we see nothing in Azzam’s cited disclosures that teaches basing any decision on a performance of any resource, let alone the specific language recited in the disputed limitation. Nevertheless, we address the two disclosed features in Azzam that it appears the Examiner may find teach or suggest the disputed limitation. To the extent the rejection depends on a finding that Azzam’s disclosed optimal processing performance, see Azzam ¶ 27 (disclosing that associating words in a fact-word table with a most appropriate part of speech provides optimal processing performance), teaches the disputed limitation, Appeal 2019-004940 Application 13/830,526 7 we disagree. As Appellant argues, Azzam merely describes how to provide optimal processing performance of the fact extraction process, but does not actually teach or suggest determining some level of actual processing performance. Accordingly, without determining the processing performance, Azzam necessarily fails to teach or suggest basing a determination to provide a knowledge panel (i.e., Azzam’s extracted set of factual descriptions) on the processing performance. To explain our interpretation of the possible alternative finding regarding the recited performance, we first summarize the findings with respect to the related limitations. The Examiner finds that: 1) Azzam’s “electronic documents of interest” teach or suggest the recited “one or more resources”; 2) Azzam’s “factual descriptions [extracted] from the electronic documents of interest” teach or suggest the recited “factual entities”; 3) Azzam’s “various web site links 604 available from the Internet” teach or suggest the recited “search results that are responsive to the received query”; and 4) Azzam’s paragraphs 25 through 27, 37, 39, 40, 41, and Figure 6 teach or suggest the disputed limitation. Final Act. 3–4. Given these findings, we presume the Examiner implicitly finds, notwithstanding failing to make such a finding clearly or explicitly, that Azzam’s “total score” assigned to a particular factual description teaches or suggests the recited “performance of one or more resources referenced by the identified search results” when such search results were provided in response to the query. See Final Act. 4 (explaining that the extraction tool identifies factual entities exceeding a threshold “based on a determination of linguistic constituents and semantics” (citing Azzam ¶ 37)); Azzam ¶¶ 36– 37 (describing rules for assigning scores to candidate factual descriptions Appeal 2019-004940 Application 13/830,526 8 and comparing a determined “total score” for a factual description to a threshold to determine whether to present or discard the factual description). Even assuming this finding, however, we still find the rejection problematic. Specifically, the claim recites using the “performance of one or more resources referenced by the identified search results” as a basis for providing the knowledge panel (Azzam’s set of factual descriptions according to the Examiner’s mapping). Even to the extent that a total score may be considered some measure of a “performance,” Azzam assigns a total score to a particular factual description, not to the electronic documents, which is what the Examiner finds teaches or suggests the recited “one or more resources.” Moreover, we disagree that Azzam’s total score, which indicates the likelihood that a particular factual description is a fact rather than an opinion, teaches or suggests the “performance” of that factual description (let alone of a resource). On this record, we fail to see how identifying whether content in a document is a fact (rather than an opinion) based on linguistic analysis teaches the performance of that fact in the sense of the disputed limitation—i.e., the performance of the factual description “when search results that reference the [factual description] were provided in response to the received query.” For these reasons, on this record, we do not sustain the rejection of independent claims 1, 11, and 18, which recite the disputed limitation as obvious over Azzam, Donmez, Baron, and Berntson. Nor do we sustain the rejection of claims 2, 6, 9, 10, 12, 15, 19, 22, and 23, which depend therefrom and incorporate the disputed limitation, as obvious over Azzam, Donmez, Baron, and Berntson. The Examiner does not find either Ando or Vinay cures this deficiency. Therefore, we do not sustain the rejection of Appeal 2019-004940 Application 13/830,526 9 claims 3–5, 13, 14, and 20 as obvious over Azzam, Donmez, Baron, Berntson, and Ando or the rejection of claims 7, 8, 16, and 17 as obvious over Azzam, Donmez, Baron, Berntson, and Vinay because each of these claims depend ultimately from one of claims 1, 11, and 18 and, therefore, incorporate the disputed limitation. Because we reverse the rejection of the independent claims and claim 23, we need not address Appellant’s other arguments. DECISION SUMMARY Claims Rejected 35 U.S.C. § References Affirmed Reversed 1, 2, 6, 9– 12, 15, 18, 19, 22, 23 103 Azzam, Donmez, Baron, Berntson 1, 2, 6, 9– 12, 15, 18, 19, 22, 23 3–5, 13, 14, 20 103 Azzam, Donmez, Baron, Berntson, Ando 3–5, 13, 14, 20 7, 8, 16, 17 103 Azzam, Donmez, Baron, Berntson, Vinay 7, 8, 16, 17 Overall Outcome 1–20, 22, 23 REVERSED Copy with citationCopy as parenthetical citation