Prosecution Insights
Last updated: April 19, 2026
Application No. 18/961,714

DATASET MULTIPLEXER WITH DATASET RESOLVER FOR DATA PROCESSING SYSTEM

Non-Final OA §101§103
Filed
Nov 27, 2024
Examiner
UDDIN, MD I
Art Unit
2169
Tech Center
2100 — Computer Architecture & Software
Assignee
AB Initio Technology LLC
OA Round
1 (Non-Final)
77%
Grant Probability
Favorable
1-2
OA Rounds
3y 4m
To Grant
99%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allow Rate
512 granted / 663 resolved
+22.2% vs TC avg
Strong +74% interview lift
Without
With
+73.5%
Interview Lift
resolved cases with interview
Typical timeline
3y 4m
Avg Prosecution
28 currently pending
Career history
691
Total Applications
across all art units

Statute-Specific Performance

§101
25.4%
-14.6% vs TC avg
§103
47.1%
+7.1% vs TC avg
§102
13.3%
-26.7% vs TC avg
§112
6.3%
-33.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 663 resolved cases

Office Action

§101 §103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . DETAILED ACTION This action is response to the communication filed on January 16, 2026. Claims 1-17, 36-53 are pending. Claims 18-35 are canceled. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-17, 36-53 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Regarding the claim 1, it recites creating a plurality of records in the dataset catalog, wherein each record of the plurality of records is associated with a physical dataset and has associated therewith computer-executable instructions for accessing the physical dataset and at least two of the plurality of records are associated with a first logical dataset; receiving input identifying, at least in part, the first logical dataset for accessing to perform an operation within a data processing application specifying access to a dataset; upon execution of the operation within the data processing application: selecting a record from the at least two of the plurality of records associated with the first logical dataset; and invoking the computer-executable instructions for accessing a physical dataset associated with the selected record in the dataset catalog. The claim recited the limitation of “creating a plurality of records in the dataset catalog, wherein each record of the plurality of records is associated with a physical dataset and has associated therewith computer-executable instructions for accessing the physical dataset and at least two of the plurality of records are associated with a first logical dataset” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind. User can mentally create plurality of records with the help of physical aid (pen and paper). Hence, the limitation is a mental process. See MPEP 2106.04(a)(2) III, B, If a claim recites a limitation that can practically be performed in the human mind, with or without the use of a physical aid such as pen and paper, the limitation falls within the mental processes grouping, and the claim recites an abstract idea. See, e.g., Benson, 409 U.S. at 67, 65, 175 USPQ at 674-75, 674 (noting that the claimed "conversion of [binary-coded decimal] numerals to pure binary numerals can be done mentally," i.e., "as a person would do it by head and hand."). Similarly, the limitation “selecting a record from the at least two of the plurality of records associated with the first logical dataset” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind. User can mentally select data select data as claimed which is mental process. The claim recites two additional elements: receiving input identifying, at least in part, the first logical dataset for accessing to perform an operation within a data processing application specifying access to a dataset and invoking the computer-executable instructions for accessing a physical dataset associated with the selected record in the dataset catalog. The receiving step as recited amounts to mere data gathering, which is a form of insignificant extra-solution activity, (see Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information)). Similarly, “invoking the computer-executable instructions for accessing a physical dataset associated with the selected record in the dataset catalog” is also insignificant extra solution activity as it can be done with generic computer component. Accordingly, even in combination, these additional elements do not integrate the abstract idea into a practical application because they do not impose any meaningful limits on practicing the abstract idea. The claim is directed to the abstract idea. The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into a practical application, the additional element of receiving and invoking steps amounts to no more than mere instructions to apply the exception using a generic computer component. The courts have recognized these functions as well‐understood, routine, and conventional as they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity (see MPEP 2106.05(d) II, Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information)). Mere instructions to apply an exception using a generic computer component cannot provide an inventive concept. The claim is not patent eligible. Claim 2 is dependent on claim 1 and includes all the limitations of claim 1. Therefore, claim 2 recites the same abstract idea of data processing. The claim recites the limitations of wherein each record of the plurality of records associated with a physical dataset comprises context information associated with the physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 3 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 3 recites the same abstract idea of data processing. The claim recites the limitations of wherein the context information comprises information identifying an environment in which the physical dataset is used, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 4 is dependent on claim 3 and includes all the limitations of claim 3. Therefore, claim 4 recites the same abstract idea of data processing. The claim recites the limitations of wherein the information identifying the environment indicates one of a development environment, a test environment or a production environment, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 5 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 5 recites the same abstract idea of data processing. The claim recites the limitations of wherein the context information comprises information identifying a type of a data processing application that accesses the physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 6 is dependent on claim 5 and includes all the limitations of claim 5. Therefore, claim 6 recites the same abstract idea of data processing. The claim recites the limitations of wherein the information identifying the type of the data processing application indicates one of a batch application or a continuous application, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 7 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 7 recites the same abstract idea of data processing. The claim recites the limitations of wherein the context information comprises one or more labels, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 8 is dependent on claim 7 and includes all the limitations of claim 7. Therefore, claim 8 recites the same abstract idea of data processing. The claim recites the limitations of wherein the one or more labels is a text string, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 9 is dependent on claim 8 and includes all the limitations of claim 8. Therefore, claim 9 recites the same abstract idea of data processing. The claim recites the limitations of wherein the text string indicates a size of the physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 10 is dependent on claim 8 and includes all the limitations of claim 8. Therefore, claim 10 recites the same abstract idea of data processing. The claim recites the limitations of wherein the text string indicates origin information of the physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 11 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 11 recites the same abstract idea of data processing. The claim recites the limitations of wherein the context information comprises information identifying one or more users, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 12 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 12 recites the same abstract idea of data processing. The claim recites the limitations of for a record of the plurality of records associated with a physical dataset: receiving the context information through a user interface; and conditionally storing the received context information in the dataset catalog such that the context information is associated with the physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 13 is dependent on claim12 and includes all the limitations of claim 12. Therefore, claim 13 recites the same abstract idea of data processing. The claim recites the limitations of the physical dataset is associated in the dataset catalog with a logical dataset; and conditionally storing the received context information in a record of the plurality of records in the dataset catalog comprises: determining whether the dataset catalog contains a record associated with the logical dataset having the same context information; storing the context information when it is determined that the dataset catalog does not contain a record associated with the logical dataset having the same context information; and indicating an error when it is determined that the dataset catalog does contain a record associated with the logical dataset having the same context information, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 14 is dependent on claim 1 and includes all the limitations of claim 1. Therefore, claim 14 recites the same abstract idea of data processing. The claim recites the limitations of wherein: the at least two of the plurality of records associated with the first logical dataset comprises a first record associated with a first physical dataset and a second record associated with a second physical dataset, the first record comprises first context information associated with the first physical dataset, and the second record comprises second context information associated with the second physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 15 is dependent on claim 2 and includes all the limitations of claim 2. Therefore, claim 15 recites the same abstract idea of data processing. The claim recites the limitations of wherein selecting a record from the at least two of the plurality of records associated with the first logical dataset comprises: identifying a context associated with the operation within the data processing application; selecting the first record when the context associated with the operation corresponds to the first context information associated with the first physical dataset; and selecting the second record when the context associated with the operation corresponds to the second context information associated with the second physical dataset, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 16 is dependent on claim 15 and includes all the limitations of claim 15. Therefore, claim 16 recites the same abstract idea of data processing. The claim recites the limitations of identifying an ambiguity when both the first and the second records are identified for selection; and providing a user interface through which a user provides input to resolve the ambiguity, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. Claim 17 is dependent on claim 1 and includes all the limitations of claim 1. Therefore, claim 17 recites the same abstract idea of data processing. The claim recites the limitations of wherein invoking the computer-executable instructions comprises: enabling access to the selected record in the dataset catalog; and enabling access, based on information within the selected record, to a data store storing the physical dataset associated with the selected record in the dataset catalog, which can be done mentally with or without the use of a physical aid (e.g., pen and paper) or with a generic computer in the form of insignificant extra-solution activity which is not an inventive concept that meaningfully limits the abstract idea. Therefore, the limitation is a mental process. As to claims 36-53, they have similar limitations as of claims 1-17 above. Hence, they are rejected under the same rational as of claims 1-17 above. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 1-17, 36-53 are rejected under 35 U.S.C. 103 as being unpatentable over Weisman (Pub. No. : US 20220245176 A1) As to claim 1 Weisman teaches a method, performed by a data processing system, for generating and/or using entries in a dataset catalog to enable access to physical datasets in data stores, wherein the data processing system is configured to execute data processing applications programmed to access logical datasets, the method comprising: creating a plurality of records in the dataset catalog, wherein each record of the plurality of records is associated with a physical dataset and has associated therewith computer-executable instructions for accessing the physical dataset and at least two of the plurality of records are associated with a first logical dataset (Paragraphs [0040], [0123]: creating dataset groups in a data processing system operable with a plurality of datasets is provided, wherein dataset multiplexer 105 may maintain a catalog of datasets 107, where each entry in the catalog corresponds to a logical dataset and provides information for accessing one or more physical datasets. The catalog entry may alternatively or additionally include information for converting data as stored in the physical dataset to a format of the logical dataset. That information may be or may include an executable program. For example, catalog information may identify a program for converting data in multiple fields in a physical dataset to the format of a corresponding logical entity in the logical dataset. Other information may alternatively or additionally be stored as or reflected in the catalog information for accessing the one or more physical datasets); receiving input identifying, at least in part, the first logical dataset for accessing to perform an operation within a data processing application specifying access to a dataset (abstract, paragraphs [0123]-[0124], [0128]: receives user input specifying datasets on which operations are performed with user interfaces that enable manipulation of hierarchical groups of datasets); upon execution of the operation within the data processing application (paragraph [0078]: data processing system configured to execute operations that access datasets): selecting a record from the at least two of the plurality of records associated with the first logical dataset (paragraph [0007], [0109]: selecting one more datasets of a plurality of datasets for association with a group of a plurality of groups of datasets, wherein the selection of datasets may be applied to logical datasets and/or physical datasets); and invoking the computer-executable instructions for accessing a physical dataset associated with the selected record in the dataset catalog (paragraph [0123]: automating access to a corresponding physical dataset and conversion between the format for the logical and physical data sets. Dataset multiplexer 105 may maintain a catalog of datasets 107, where each entry in the catalog corresponds to a logical dataset and provides information for accessing one or more physical datasets). As to claim 2 Weisman teaches wherein each record of the plurality of records associated with a physical dataset comprises context information associated with the physical dataset (paragraph [0085]). As to claim 3 Weisman teaches wherein the context information comprises information identifying an environment in which the physical dataset is used (paragraphs [0087], [0089]). As to claim 4 Weisman teaches wherein the information identifying the environment indicates one of a development environment, a test environment or a production environment (paragraph [0089]). As to claim 5 Weisman teaches wherein the context information comprises information identifying a type of a data processing application that accesses the physical dataset (paragraph [0115]). As to claim 6 Weisman teaches wherein the information identifying the type of the data processing application indicates one of a batch application or a continuous application (paragraphs [0116]-[0117]). As to claim 7 Weisman teaches wherein the context information comprises one or more labels (paragraph [0118]). As to claim 8 Weisman teaches wherein the one or more labels is a text string (paragraph [0176]). As to claim 9 Weisman teaches wherein the text string indicates a size of the physical dataset (paragraph [0129]). As to claim 10 Weisman teaches wherein the text string indicates origin information of the physical dataset (paragraph [0095]). As to claim 11 Weisman teaches wherein the context information comprises information identifying one or more users (paragraph [0050]). As to claim 12 Weisman teaches for a record of the plurality of records associated with a physical dataset: receiving the context information through a user interface and conditionally storing the received context information in the dataset catalog such that the context information is associated with the physical dataset (paragraphs [0017], [0119]). As to claim 13 Weisman teaches the physical dataset is associated in the dataset catalog with a logical dataset and conditionally storing the received context information in a record of the plurality of records in the dataset catalog comprises: determining whether the dataset catalog contains a record associated with the logical dataset having the same context information, storing the context information when it is determined that the dataset catalog does not contain a record associated with the logical dataset having the same context information, and indicating an error when it is determined that the dataset catalog does contain a record associated with the logical dataset having the same context information (paragraph [0123]-[0125]). As to claim 14 Weisman teaches wherein: the at least two of the plurality of records associated with the first logical dataset comprises a first record associated with a first physical dataset and a second record associated with a second physical dataset, the first record comprises first context information associated with the first physical dataset, and the second record comprises second context information associated with the second physical dataset (paragraph [0145]). As to claim 15 Weisman teaches wherein selecting a record from the at least two of the plurality of records associated with the first logical dataset comprises: identifying a context associated with the operation within the data processing application, selecting the first record when the context associated with the operation corresponds to the first context information associated with the first physical dataset, and selecting the second record when the context associated with the operation corresponds to the second context information associated with the second physical dataset (paragraph [0092], [0117]). As to claim 16 Weisman teaches identifying an ambiguity when both the first and the second records are identified for selection and providing a user interface through which a user provides input to resolve the ambiguity (paragraph [0122], [0124]). As to claim 17 Weisman teaches wherein invoking the computer-executable instructions comprises: enabling access to the selected record in the dataset catalog, and enabling access, based on information within the selected record, to a data store storing the physical dataset associated with the selected record in the dataset catalog (paragraph [0124]-[0126]). As to claims 36-53, they have similar limitations as of claims 1-17 above. Hence, they are rejected under the same rational as of claims 1-17 above. Examiner's Note: Examiner has cited particular columns and line numbers or paragraphs in the references as applied to the claims above for the convenience of the applicant. Although the specified citations are representative of the teachings of the art and are applied to the specific limitations within the individual claim, other passages and figures may apply as well. It is respectfully requested from the applicant in preparing responses, to fully consider the references in its entirety as potentially teaching of all or part of the claimed invention, as well as the context. Conclusion The prior art made of record, listed on form PTO-892, and not relied upon, if any, is considered pertinent to applicant's disclosure. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MD I UDDIN whose telephone number is (571)270-3559. The examiner can normally be reached M-F, 8:00 am to 5:00 pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Sherief Badawi can be reached at 571-272-9782. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MD I UDDIN/Primary Examiner, Art Unit 2169
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Prosecution Timeline

Nov 27, 2024
Application Filed
Feb 06, 2026
Non-Final Rejection — §101, §103 (current)

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Prosecution Projections

1-2
Expected OA Rounds
77%
Grant Probability
99%
With Interview (+73.5%)
3y 4m
Median Time to Grant
Low
PTA Risk
Based on 663 resolved cases by this examiner. Grant probability derived from career allow rate.

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