Automated scalable contextual data collection and extraction system
AssigneeQomplx LLC
InventorsJason Crabtree, Andrew Sellers
Life of this patent
Estimating the term…
Abstract
A system for contextual data collection and extraction is provided, comprising an extraction engine configured to receive context from a user for desired information to extract, connect to a data source providing a richly formatted dataset, retrieve the richly formatted dataset, process the richly formatted dataset and extract information from a plurality of linguistic modalities within the richly formatted, and transform the extracted data into a extracted dataset; and a knowledge base construction service configured to retrieve the extracted dataset, create a knowledge base for storing the extracted dataset, and store the knowledge base in a data store.
Claims16
A system for automated scalable contextual data collection and extraction, comprising:
- an extraction engine comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
- receive a context target from a user for desired information to extract;
- connect to a data source providing a richly formatted dataset;
- retrieve the richly formatted dataset;
- process the richly formatted dataset;
- extract information from a plurality of linguistic modalities within the richly formatted dataset relating at least in part to a context provided by the user;
- and
- transform the extracted information into a graph and time series-based dataset;
- and
- a knowledge base construction service comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
- retrieve the graph and time series-based dataset;
- create a knowledge base for storing the graph and time series-based dataset;
- and
- store the knowledge base in a data store for later reference.
A method for automated scalable contextual data collection and extraction, comprising the steps of:
- (a) receiving a context target from a user for desired information to extract, using an extraction engine;
- (b) connecting to a data source providing a richly formatted dataset, using the extraction engine;
- (c) retrieving the richly formatted dataset, using the extraction engine;
- (d) processing the richly formatted dataset and extracting information from a plurality of linguistic modalities within the richly formatted dataset relating at least in part to the context target provided by the user, using the extraction engine;
- (e) transforming the extracted information into a graph and time series-based dataset, using the extraction engine;
- (f) retrieving the graph and time series-based dataset, using a knowledge base construction service;
- (g) creating a knowledge base for storing the graph and time series-based dataset, using the knowledge base construction service;
- and
- (h) storing the knowledge base in a data store for later reference, using the knowledge base construction service.
Dependencies are inferred from the claim text.