# US 10,311,110 B2 · Semantics for document-oriented databases > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,311,110 B2 - Document ID: US10311110B2 - Status: Granted - Kind: B2 - Application number: 14/980,325 - Filed: 2015-12-28 - Published: 2017-06-29 - Granted: 2019-06-04 - Earliest claimed: 2015-12-28 - Assignees: Sap SE - Applicants: Sap SE - Inventors: Hemant Kumar - Web page: https://patentgrep.com/patent/US10311110B2 ## CPC - G06F 16/93: Document management systems - G06F 16/2228: {Indexing structures} - G06F 16/254: {Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses} - G06F 16/322: {Trees} - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract A system and a method, the method including receiving a set of documents, the set including at least one instance of an unstructured document; parsing the set of documents to obtain information regarding the set of documents; determining a map of a map for the set of documents based on the information obtained by the parsing; generating a hierarchical semantic representation of the set of documents based on the map of the map; and storing the hierarchical semantic representation of the set of documents. ## Claims ### Claim 1 A method, the method comprising: receiving a set of documents, the set including instances of unstructured or semi-structured documents, the unstructured or semi-structured documents being data encoded to include at least two different data-types; parsing the set of documents to obtain metadata information regarding each of the documents in the set of documents; automatically determining data-types for each document in the set of documents based on the metadata information regarding each of the documents in the set of documents obtained by the parsing; generating a hierarchical semantic representation of the set of documents based on the determined data-types for each of the documents in the set of documents, the hierarchical semantic representation of the set of documents including a value for a merged weight and a merged data type rank that is calculated based on a weight and a data type rank calculated for each of the documents in the set of documents; storing the hierarchical semantic representation of the set of documents; and querying, by a semantic layer of an application that processes structured hierarchical data, the stored hierarchical semantic representation of the set of unstructured or semi-structured documents encoded to include the at least two data-types. ### Claim 2 (depends on 1) The method of claim 1, wherein the parsing of the set of documents includes parsing a subset of the set of documents. ### Claim 3 (depends on 1) The method of claim 1, wherein the parsing comprises parsing individual documents in the set of documents to obtain information regarding the individual documents in the set of documents. ### Claim 4 (depends on 3) The method of claim 3, further comprising: merging the determined data-types for the individual documents; and generating the hierarchical semantic representation for the set of documents based on the merged determined data-types for the individual documents. ### Claim 5 (depends on 1) The method of claim 1, wherein the information obtained by parsing the set of documents comprises key-value pairs and the values may be represented by a combination of at least one of a number, a string, a Boolean value, an array, an unordered associative array, and a null value without limit. ### Claim 6 (depends on 1) The method of claim 1, wherein the instances of the unstructured or semi-structured documents does not adhere to a predefined set of semantics. ### Claim 7 (depends on 1) The method of claim 1, wherein the instances of the unstructured or semi-structured documents is retrieved from a document-oriented database. ### Claim 8 (depends on 1) The method of claim 1, wherein the information obtained by parsing the set of documents corresponds to an internal structure of the unstructured or semi-structured documents, including at least a data-type for key-value pairs of each of the unstructured or semi-structured documents. ### Claim 9 A non-transitory computer-readable medium having: instructions to receive a set of documents, the set including instances of an unstructured document or semi-structured documents, the unstructured or semi-structured documents being data encoded to include at least two different data-type; instructions to parse the set of documents to obtain metadata information regarding each of the documents in the set of documents; instructions to automatically determine data-types for each document in the set of documents based on the metadata information regarding each of the documents in the set of documents obtained by the parsing; instructions to generate a hierarchical semantic representation of the set of documents based on the determined data-types for each of the document in the set of documents, the hierarchical semantic representation of the set of documents including a value for a merged weight and a merged data type rank that is calculated based on a weight and a data type rank calculated for each of the documents in the set of documents; instructions to store the hierarchical semantic representation of the set of documents; and instructions to query, by a semantic layer of an application that processes structured hierarchical data, the stored hierarchical semantic representation of the set of unstructured or semi-structured documents encoded to include the at least two data-types. ### Claim 10 (depends on 9) The medium of claim 9, wherein the parsing of the set of documents includes parsing a subset of the set of documents. ### Claim 11 (depends on 9) The medium of claim 9, wherein the information obtained by parsing the set of documents is represented as metadata. ### Claim 12 (depends on 9) The medium of claim 9, wherein the parsing comprises parsing individual documents in the set of documents to obtain information regarding the individual documents in the set of documents. ### Claim 13 (depends on 12) The medium of claim 12, further comprising: instructions to merge the determined data-types for the individual documents; and instructions to generate the hierarchical semantic representation for the set of documents based on the merged determined data-types for the individual documents. ### Claim 14 (depends on 9) The medium of claim 9, wherein the information obtained by parsing the set of documents comprises key-value pairs and the values may be represented by a combination of at least one of a number, a string, a Boolean value, an array, an unordered associative array, and a null value without limit. ### Claim 15 (depends on 9) The medium of claim 9, wherein the instances of the unstructured or semi-structured documents does not adhere to a predefined set of semantics. ### Claim 16 (depends on 9) The medium of claim 9, wherein the instances of the unstructured or semi-structured documents is retrieved from a document-oriented database. ### Claim 17 (depends on 9) The medium of claim 9, wherein the information obtained by parsing the set of documents corresponds to an internal structure of the unstructured or semi-structured documents, including at least a data-type for key-value pairs of each of the unstructured or semi-structured documents. ### Claim 18 A system comprising: a database; and a sever including a processor and a driver, the driver configured to make calls to the database and in cooperation with the processor to: receive a set of documents, the set including instances of unstructured or semi-structured documents, the unstructured or semi-structured documents being data encoded to include at least two different data-type; parse the set of documents to obtain metadata information regarding each of the documents in the set of documents; automatically determine data-types for each document in the set of documents based on the metadata information regarding each of the documents in the set of documents obtained by the parsing; generate a hierarchical semantic representation of the set of documents based on the determined data-types for each of the document in the set of documents, the hierarchical semantic representation of the set of documents including a value for a merged weight and a merged data type rank that is calculated based on a weight and a data type rank calculated for each of the documents in the set of documents; store the hierarchical semantic representation of the set of documents; and query, by a semantic layer of an application that processes structured hierarchical data the stored hierarchical semantic representation of the set of unstructured or semi-structured documents encoded to include the at least two data-types. ### Claim 19 (depends on 18) The system of claim 18, wherein the parsing of the set of documents includes parsing a subset of the set of documents.