PATENT CLAIM ANALYSIS

Application Number: 16198237
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2020-01
Patent Classification: ["707", "691000"]

Abstract:
A knowledge data management system (KDMS) implements data refinement orchestration, resolution, and refinement to provide a reusable and generic solution to ingest and link data via relationships and properties when constructing a knowledge graph. The KDMS thus operates to break down existing data storage silos by normalizing and integrating data with a uniform semantic schema, which results in more accurate and faster knowledge graph construction.

Claim (Index 1):
A system comprising:\n knowledge extraction circuitry configured to:\n receive a search query; \n parse a database comprising historical data; and \n extract, from the database, a data set of intermediary results corresponding to the search query; \n processing circuitry configured to:\n receive the data set of intermediary results; \n provide the intermediary results to a staging repository; \n receive, from a supplemental pipeline data source, a supplemental data set of additional intermediary results; \n provide the supplemental data set of additional intermediary results to the staging repository; \n iteratively refine, using the staging repository, the data set of intermediary results with the additional intermediary results for inclusion in a knowledge graph into subsequent levels of one or more additional sub-concepts until a condition for ceasing further refinement is satisfied; \n generate, based on the iterative refinement, a refined data set comprising refined intermediary results; and \n store the refined data set in the staging repository; \n integration circuitry configured to:\n orchestrate, from the refined data set, a knowledge data set to synchronize with a knowledge graph schema; \n resolve, within the knowledge data set, instances of different expressions of a same entity; \n reconcile the knowledge data set to existing knowledge profiles; and \n perform schema management; and \n knowledge graph circuitry configured to:\n generate the knowledge graph to be a visual representation of the knowledge data set, wherein the knowledge graph includes nodes and connecting edges that represent entity and relationship information, respectively, included in the knowledge data set.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.41176
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16047573', '14060562', '15290479', '11725195', '13842606']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1779389255765966
- 35 USC 102 Novelty (BERT): 0.4839539764868383
- Combined Prediction Score: 0.2085404306676208
- Mean Citation Score: 129.57624479999998
- Max Citation Score: 172.65508
- Similarity Product: 112.533067896595

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

Dataset: test