US 12,222,974 B2 · Ontology customization for indexing digital content

Abstract

A method for automatically classifying terms of a first ontology into categories of a classification scheme defined with respect to a second ontology includes generating, for each term in the first ontology and each term in the second ontology, an embedding encoding the term and a description of the term. The method further includes adding the generated embeddings to a transformer model and computing, for each pair of the embeddings consisting of a first term from the first ontology and a second term from the second ontology, a similarity metric quantifying a similarity of the first term and the second term. The method still further provides for determining a matching scheme based on the similarity metric computed with respect to each pair of the embeddings, where the matching scheme associates term of the first ontology with one or more relevant categories of the classification scheme defined with respect to the second ontology. The method further provides for returning the one or more relevant categories of the classification scheme that are matched, by the determined matching scheme, to a term of the second ontology received as an input.

Claims20

Dependent claims

A processor-implemented method, comprising:

generating an embedding encoding each term of a plurality of terms and a corresponding description, the plurality of terms comprising terms from a first ontology and terms from a second ontology;
adding the embeddings to a transformer model;
generating a plurality of pairs of the embeddings, each pair of the plurality of pairs comprising a first term from the first ontology and a second term from the second ontology;
computing a similarity metric quantifying a similarity of the first term and the second term for each pair of the plurality of pairs;
determining, based on the similarity metric, a stable matching scheme that matches each term of the first ontology to a single best match category of a classification scheme defined with respect to the second ontology;
and
responsive to receiving as input a particular term of the first ontology, returning a corresponding best match category of the classification scheme based on a match, by the stable matching scheme, to the particular term.

4 more elements

A system for ontology matching, comprising:

memory;
a processing system;
an encoder stored in the memory and executable by the processing system to generate a plurality of embeddings that correspond to terms of a first ontology or a second ontology, each embedding of the plurality of embeddings encoding a term and a description of the term;
a transformer model stored in the memory and executable by the processing system to add the plurality of embeddings to a vector space in which similarity between terms is correlated with distance between respective pairs of the embeddings;
a similarity determination engine stored in the memory and executable by the processing system to compute a similarity metric for each of the respective pairs of the embeddings that comprise a first term from the first ontology and a second term from the second ontology, the similarity metric quantifying a semantic similarity of the first term and the second term;
and
a stable match identifier stored in the memory and executable by the processing system to determine, based on the similarity metric computed with respect to each pair of the embeddings, a stable matching scheme that matches each term of the second ontology to a single best match category of a classification scheme used to classify the terms of the first ontology;
and
an ontology translation engine stored in memory and configured to:
receive as input a particular term of the second ontology;
and
utilize the stable matching scheme to identify and return a particular relevant category classifying the particular term, the particular relevant category being selected from categories of the classification scheme.

9 more elements

A tangible computer-readable storage media encoding computer-executable instructions for executing a computer process for ontology matching between a first ontology and a second ontology, the computer process comprising:

adding to a transformer model a plurality of embeddings that correspond to terms of at least one of the first ontology and the second ontology, each of the embeddings encoding a term and a description of the term and being represented within a vector space of the transformer model in which similarity between terms is correlated with distance between corresponding pairs of the embeddings;
computing a similarity metric quantifying a similarity of each pair of the plurality of embeddings that consists of a first embedding corresponding to a first term from the first ontology and a second embedding corresponding to a second term from the second ontology;
mapping, based on the similarity metric, each term of the first ontology to a most semantically similar term of the second ontology;
executing a stable matching algorithm to identify a stable matching scheme that matches each term of the first ontology with a corresponding best match term of the second ontology;
and
responsive to receiving as input a particular term of the first ontology, returning the most semantically similar term of the second ontology.

3 more elements

Dependencies are inferred from the claim text.

Ontology customization for indexing digital content

Life of this patent

Ontology customization for indexing digital content

Life of this patent

Abstract

Claims20