Smart contracts (blockchains, distributed ledgers) and rights management broadly construed are the themes of today's Spotlight Applications. Assigned to Lendoit Technologies (IL), the first application discloses techniques for smart contracts executed within a blockchain. Assigned to Legislate Technologies (GB), the second application discloses techniques for automated document generation and search.
20220284420, "Smart contract executed within a blockchain," assigned to Lendoit Technologies Israel Ltd. (IL)
Abstract
There is provided a method and system for selection of response message(s), comprising: receiving from an initiator client terminal a function message including an unencrypted target value and a public key, receiving respective response messages to the function message from responding client terminals, each respective response comprising an unencrypted partial value of the target value and a parameter encrypted with the pubic key, receiving, from the initiator client terminal, a selection of response message(s) according to a ranking of the encrypted parameters, wherein a sum of the unencrypted partial values of the selected response message(s) is according to a requirement of the target value, and receiving a validation for the selected response message(s) from corresponding responding client terminals, wherein each of the corresponding responding client terminals is provided with all partial values and all unencrypted parameters associated with all of the selected response message(s).
20220284312, "System and method for automated document generation and search," assigned to Legislate Technologies Limited (GB)
Abstract
A semantic document generation and search system is described. The semantic document extraction system generates a knowledge graph representing a collection of documents, each document being represented as a sub-graph of the knowledge graph being linked to each other by common terms of a plurality of document terms. The system extracts a first filter criterion based on the plurality of terms of the sub-graphs representing the collection of documents, receives a first search value for the first filter criterion, and identifies a subset of sub-graphs, of the knowledge graph, that include a term corresponding to the first filter criterion and having a term value corresponding to the first search value. The system prunes the knowledge graph to include only the identified subset of sub-graphs, and extracts and outputs a subset of the collection of documents corresponding to the subset of sub-graphs included in the pruned knowledge graph.
