Open Text has been granted a patent for a secure multi-party information retrieval system. The system includes a query processor, information processors, and data processors that work together to retrieve candidate terms similar to a query term while maintaining security and privacy. The system uses random permutations and similarity scores to filter the candidate terms without revealing the query term. GlobalData’s report on Open Text gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Open Text, AI for workflow management was a key innovation area identified from patents. Open Text's grant share as of September 2023 was 87%. Grant share is based on the ratio of number of grants to total number of patents.
Secure multi-party information retrieval system
A recently granted patent (Publication Number: US11775656B2) describes a system and method for secure multi-party information retrieval. The system includes a query processor, a collection of information processors, and a plurality of data processors. The query processor requests the secure retrieval of candidate terms similar to a query term in a query dataset. The information processors receive the request and generate a random permutation based on the request. The data processors generate clusters of terms in a dataset based on similarity scores and select a representative term from each cluster. The information processors determine similarity scores between the secured query term and secured representative terms, and the data processors filter the candidate terms based on the determined similarity scores.
In one embodiment, the data processors generate secured representative terms by applying an orthogonal transform to each term and truncating a portion of the transformed term. The information processors associate each candidate term with a ranked term identifier based on the similarity scores and provide a plurality of ranked term identifiers to the query processor. The collection of information processors can provide an aggregate ranking of the ranked term identifiers to the query processor.
The system also supports the retrieval of additional candidate terms similar to a second query term. The information processors determine additional similarity scores between the secured second query term and the secured representative terms, and the data processors filter the additional candidate terms based on the determined additional similarity scores.
The method for secure multi-party information retrieval involves receiving a request from a query processor to securely retrieve candidate terms similar to a query term. Clusters of terms are generated based on similarity scores, and representative terms are selected. Similarity scores between the secured query term and secured representative terms are determined, and the candidate terms are filtered based on the similarity scores. The candidate terms are then provided to the information processor.
The patent also includes a non-transitory computer-readable medium comprising executable instructions to perform the steps of the method. The medium can generate secured representative terms, associate ranked term identifiers with candidate terms, and provide an aggregate ranking of the ranked term identifiers.
Overall, this patent describes a system and method for secure multi-party information retrieval that allows for the retrieval of candidate terms similar to a query term while maintaining data security and privacy. The system utilizes information processors and data processors to perform various operations, including generating clusters, determining similarity scores, and filtering candidate terms. The method can be implemented using a non-transitory computer-readable medium with executable instructions.
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