Systems and method for determining hygiene in enterprise documents with respect to regulatory obligations

The processor implemented method of claim , wherein the step of generating the baseline ontology comprises:

• extracting a plurality of sentences, a plurality of noun phrases, a plurality of Subject Verb Object (SVO) triplets, from the first document;
• extracting, a plurality of key-terms from the plurality of sentences from the first document, wherein a score is associated with each of the plurality of key-terms, and wherein the plurality of key-terms serves as a plurality of candidates for the one or more concepts;
• creating a dictionary based on the plurality of key-terms as the one or more concepts and the plurality of noun phrases ending with the plurality of key-terms as a corresponding mention of the one or more concepts;
• creating the one or more relations from the plurality of SVO triplets that contain one or more references to the one or more concepts;
• and
• creating the baseline ontology from the dictionary and the one or more relations.

A system, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or ore hardware processors are configured by the instructions to:
• obtain a plurality of regulation documents, and a plurality of enterprise documents;
• generate a baseline ontology further comprising a dictionary having one or more concepts as one or more nodes and one or more relations as one or more edges, wherein the baseline ontology is generated based on a first document that is randomly selected from the plurality of regulation documents or the plurality of enterprise documents;
• obtain an extended ontology based on the baseline ontology;
• create a common navigable ontology based on (i) the extended ontology associated with the first document and (ii) one or more subsequent baseline ontologies associated with one or more subsequent documents that are selected from remaining documents comprised in the at least one of the plurality of regulation documents and the plurality of enterprise documents, wherein the common navigable ontology is created by:
• merging one to one matched concepts comprised in the one or more subsequent baseline ontologies associated with one or more subsequent documents (0B) with the common navigable ontology;
• (ii) merging one or more unique concepts in the one or more subsequent baseline ontologies that do not match the one or more concepts comprised in the common navigable ontology;
• (iii) recommending for merging a concept from the one or more subsequent baseline ontologies that match to two to more concepts comprised in the common navigable ontology, wherein merging the concept is recommended to distribute one or more mentions in the one or more concepts comprised in the common navigable ontology;
• and
• (iv) merging one or more associated relations of a plurality of concepts comprised in the one or more subsequent baseline ontologies being merged with a plurality of corresponding concepts comprised in the common navigable ontology;
• identify, by using the common navigable ontology, one or more similarities and one or more gaps in the plurality of regulation documents and the plurality of enterprise documents;
• identify, by using the common navigable ontology, a plurality of matched statements and a plurality of gaps across the plurality of enterprise documents;
• generate one or more citations and one or more statements from a natural language search query using an associated ontology footprint by using the common navigable ontology, wherein the associated ontology footprint is obtained by identifying mentions of the one or more concepts in the natural language search query;
• and
• determine hygiene in the plurality of enterprise documents with respect to a plurality of regulatory obligations based on the at least one of (i) the one or more similarities and the one or more gaps in the plurality of regulation documents and the plurality of enterprise documents, (ii) the plurality of matched statements and the plurality of gaps across the plurality of enterprise documents;
• and (iii) the one or more citations and the one or more statements.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• obtaining, a plurality of regulation documents, and a plurality of enterprise documents;
• generating a baseline ontology further comprising a dictionary having one or more concepts as one or more nodes and one or more relations as one or more edges, wherein the baseline ontology is generated based on a first document that is randomly selected from the plurality of regulation documents or the plurality of enterprise documents;
• obtaining an extended ontology based on the baseline ontology;
• creating a common navigable ontology based on (i) the extended ontology associated with the first document and (ii) one or more subsequent baseline ontologies associated with one or more subsequent documents that are selected from remaining documents comprised in the at least one of the plurality of regulation documents and the plurality of enterprise documents , wherein the step of creating the common navigable ontology comprises:
• (v) merging one to one matched concepts comprised in the one or more subsequent baseline ontologies associated with one or more subsequent documents with the common navigable ontology;
• (vi) merging one or more unique concepts in the one or more subsequent baseline ontologies that do not match the one or more concepts comprised in the common navigable ontology;
• (vii) recommending for merging a concept from the one or more subsequent baseline ontologies that match to two to more concepts comprised in the common navigable ontology, wherein merging the concept is recommended to distribute one or more mentions in the one or more concepts comprised in the common navigable ontology;
• and
• (viii) merging one or more associated relations of a plurality of concepts comprised in the one or more subsequent baseline ontologies being merged with a plurality of corresponding concepts comprised in the common navigable ontology;
• identifying, by using the common navigable ontology, one or more similarities and one or more gaps in the plurality of regulation documents and the plurality of enterprise documents;
• identifying, by using the common navigable ontology, a plurality of matched statements and a plurality of gaps across the plurality of enterprise documents;
• generating one or more citations and one or more statements from a natural language search query using an associated ontology footprint by using the common navigable ontology, wherein the associated ontology footprint is obtained by identifying mentions of the one or more concepts in the natural language search query;
• and
• determining hygiene in the plurality of enterprise documents with respect to a plurality of regulatory obligations based on the at least one of (i) the one or more similarities and the one or more gaps in the plurality of regulation documents and the plurality of enterprise documents, (ii) the plurality of matched statements and the plurality of gaps across the plurality of enterprise documents;
• and (iii) the one or more citations and the one or more statements.