PATENT CLAIM ANALYSIS

Application Number: 15892692
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["707", "751000"]

Abstract:
A method for recommending responses to emergent conditions is provided. The present invention may include receiving a query from a user. The present invention may also include retrieving a plurality of recommended responses for the received query from a plurality of entities and a plurality of relations stored in a graph-based knowledge resource. The present invention may further include presenting the retrieved plurality of recommended responses to the user.

Claim (Index 1):
A method for recommending responses to emergent conditions, the method comprising:\n receiving a plurality of documents for a domain wherein the domain is related to a complex technical system, wherein a determination is made that the domain is associated with a technical device, wherein a determination is made that the received query is a problem related to the technical device; extracting the plurality of entities and the plurality of relations from the received plurality of documents, wherein a plurality of system components, a plurality of actions, a plurality of causal relations and a plurality of functional relations from the extracted plurality of entities and the extracted plurality of relations are identified, wherein a connection is determined from the identified plurality of system components, the identified plurality of actions, the identified plurality of causal relations and the identified plurality of functional relations in the absence of human intervention, wherein the determined connection includes at least one inference between the extracted plurality of entities and the extracted plurality of relations, wherein a knowledge graph is generated from the determined connection of the identified plurality of system components, the identified plurality of actions, the identified plurality of causal relations and the identified plurality of functional relations, wherein the generated knowledge graph is stored in the graph-based knowledge resource to respond to a query from a user; receiving the query from the user; retrieving, in real time, a plurality of recommended responses for the received query from a plurality of entities and a plurality of relations stored in a graph-based knowledge resource,\n wherein the plurality of recommended responses for the received query are retrieved based on the retrieved plurality of entities and the retrieved plurality of relations stored in the graph-based knowledge resource, wherein the user is queried for a plurality of additional relevant symptoms for the received query based on the retrieved plurality of entities and the retrieved plurality of relations stored in the graph-based knowledge resource, wherein the queried plurality of additional relevant symptoms from the user are received, wherein a plurality of additional relevant symptoms are identified by utilizing the graph-based knowledge resource, wherein a recommended response from the graph-based knowledge resource is retrieved based on the identified plurality of additional relevant symptoms, wherein the retrieved recommended response is presented to the user;\n wherein the plurality of recommended responses for the received query are retrieved from the retrieved plurality of entities and the retrieved plurality of relations stored in the graph-based knowledge resource, wherein a determination is made that there are no additional relevant symptoms for the received query, wherein the retrieved plurality of recommended responses are presented to the user, \n wherein one recommended response for the received query is retrieved from the plurality of entities and the plurality of relations stored in the graph-based knowledge resource, wherein the one recommended response is presented to the user; and \n \n presenting the retrieved plurality of recommended responses to the user.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.87179
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15491363', '15655159', '15872227', '15706545', '15652190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1970520979813628
- 35 USC 102 Novelty (BERT): 0.4788956696942654
- Combined Prediction Score: 0.225236455152653
- Mean Citation Score: 124.4894958
- Max Citation Score: 133.67383999999998
- Similarity Product: 84.22235866303444

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test