公开(公告)号：US11520986B2

公开(公告)日：2022-12-06

申请号：US16937641

申请日：2020-07-24

Applicant: International Business Machines Corporation

Inventor： Balaji Ganesan ,  Riddhiman Dasgupta ,  Akshay Parekh ,  Hima Patel ,  Berthold Reinwald ,  Sameep Mehta

IPC: G06F40/169 ,  G06F40/295 ,  G06N3/04 ,  G06F16/36

Abstract: Aspects of the present disclosure relate to neural-based ontology generation and refinement. A set of input data can be received. A set of entities can be extracted from the set of input data using a named-entity recognition (NER) process, each entity having a corresponding label, the corresponding labels making up a label set. The label set can be compared to concepts in a set of reference ontologies. Labels that match to concepts in the set of reference ontologies can be selected as a candidate concept set. Relations associated with the candidate concepts within the set of reference ontologies can be identified as a candidate relation set. An ontology can then be generated using the candidate concept set and candidate relation set.

公开(公告)号：US20220027561A1

公开(公告)日：2022-01-27

申请号：US16937641

申请日：2020-07-24

Applicant: International Business Machines Corporation

Inventor： Balaji Ganesan ,  Riddhiman Dasgupta ,  Akshay Parekh ,  Hima Patel ,  Berthold Reinwald ,  Sameep Mehta

IPC: G06F40/295 ,  G06F16/36 ,  G06N3/04

Abstract: Aspects of the present disclosure relate to neural-based ontology generation and refinement. A set of input data can be received. A set of entities can be extracted from the set of input data using a named-entity recognition (NER) process, each entity having a corresponding label, the corresponding labels making up a label set. The label set can be compared to concepts in a set of reference ontologies. Labels that match to concepts in the set of reference ontologies can be selected as a candidate concept set. Relations associated with the candidate concepts within the set of reference ontologies can be identified as a candidate relation set. An ontology can then be generated using the candidate concept set and candidate relation set.

公开(公告)号：US20190286741A1

公开(公告)日：2019-09-19

申请号：US15922720

申请日：2018-03-15

Applicant: International Business Machines Corporation

Inventor： Arvind Agarwal ,  Vitobha Munigala ,  Riddhiman Dasgupta ,  Arun Kumar

IPC: G06F17/30 ,  G06F17/27 ,  G06K9/00

Abstract: One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a different revision of another of the at least two documents; identifying a structure of each of the at least two documents by parsing each of the at least two documents to extract text from each of the at least two documents; aligning sections of the at least two documents, wherein the aligning comprises matching a section from one of the at least two documents and a corresponding section from another of the at least two documents; identifying at least one difference between the at least two documents; assigning a semantic label to the identified at least one difference; and providing a summary of the identified at least one difference by compressing the text surrounding the identified at least one difference using the assigned semantic label.