IP
Our capabilities are built on dozens of unique pieces of intellectual property.
Big Data Compression
Category: Compression
Inventors: Scott Lightner, Franz Weckesser, Bryan Zimmerman
Status: Issued – US Patents #9,025,892, #9,710,517
Dramatically compressing the size of a dataset while preserving the ability to decompress a single record or field.
Automated Discovery Of New Topics
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Franz Weckesser, Sanjay Boddhu, Robert Flagg
Status: Issued – US Patents #9,177,262, #9,626,623
Using co-occurring topics from different topic models to aid in entity disambiguation; extending conventional LDA topic modeling in so that each component is treated as conditionally-independent.
Event Detection Through Text Analysis Via Trained Template Modes
Category: Text Analysis
Inventors: Sanjay Boddhu, Robert Flagg, Rakesh Dave, Scott Lightner
Status: Issued – US Patent #9,177,254
Using topic models to develop relationships between topics, events and entities; and further use of that data to detect and capture events.
Search Suggestions Via Fuzzy-score Matching And Co-occurrence
Category: Search
Inventors: Scott Lightner, Franz Weckesser, Rakesh Dave, Sanjay Boddhu, Joe Becknell
Status: Issued – US Patents #9,208,204, #9,507,834
Employing a co-occurrence knowledge base to allow a user to submit partial or complete queries, which are processed on-the-fly to detect entities, their misspelled variations, and other conceptual features.
Search Suggestions Via Fuzzy-score Matching And Population Frequencies
Category: Search
Inventors: Scott Lightner, Franz Weckesser, Rakesh Dave, Sanjay Boddhu
Status: Issued – US Patent #9,201,931
Extending existing search suggestion mechanisms to employ an entity co-occurrence knowledge base, a trends co-occurrence knowledge base, fuzzy matching modules and entity extraction modules.
In-loop, Human Validation Of Disambiguated Features
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Rakesh Dave, Sanjay Boddhu
Status: Issued – US Patent #9,223,833
Extending traditional feature disambiguation systems by providing a feedback mechanism to take human verification of the disambiguated results and update the knowledge base on-the-fly.
Fault-tolerant Architecture For Distributed Systems
Category: In-Memory DBMS Technology
Inventors: Scott Lightner, Franz Weckesser
Status: Issued – US Patents #9,201,744, #9,785,521
Providing fault-tolerance in a distributed system by automatically detecting failures and recovering from them by moving processing modules and their dependencies to other nodes in the system.
Real-time, Distributed In-memory Search Architecture
Category: In-Memory DBMS Technology
Inventors: Scott Lightner, Franz Weckesser
Status: Issued – US Patent #9,223,875
A system of multiple network segments with bandwidth and latency tiers, applied to a distributed in-memory data platform.
Search Suggestions Via Co-occurrence
Category: Search
Inventors: Scott Lightner, Franz Weckesser, Sanjay Boddhu
Status: Issued – US Patents #9,230,041, #9,613,166
A search suggestion generation mechanism that employs a co-occurrence knowledge base to suggest new search queries and possible search expansions or suggestions.
Disambiguating Features In Unstructured Text
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Franz Weckesser, Sanjay Boddhu, Rakesh Dave, Robert Flagg
Status: Issued – US Patent #9,239,875
Employing an evolving and efficiently linkable feature knowledge base capable of storing secondary features to disambiguate entities.
Entity-driven Alerts Based On Disambiguated Features
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Franz Weckesser
Status: Issued – US Patent #9,336,280
An alert mechanism based on user-specified disambiguated features, providing a framework to support collaborative knowledge sharing among different users.
Alerting System Based On Newly Disambiguated Features
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Franz Weckesser
Status: Issued – US Patent #9,317,565
Leveraging user-specified disambiguated features to provide better relevance and precision than traditional systems, as well as the ability to build alert specifications around secondary features.
Dependency Manager For Databases
Category: In-Memory DBMS Technology
Inventors: Franz Weckesser, Scott Lightner
Status: Issued – US Patent #9,348,573
Technology to automate the deployment, installation and configuration of data, metadata and software of the primary data store of a distributed database.
Entity Enrichment Enabling Search Functionality
Category: Search
Inventors: Birali Hakizumwami, Scott Lightner
Status: Issued – US Patent #9,361,317
Extending the search capabilities of contentment management systems with additional managed properties obtained through natural language processing of the underlying unstructured text content.
Non-exclusionary Search Within In-memory Databases
Category: In-Memory DBMS Technology
Inventors: Franz Weckesser, Scott Lightner
Status: Issued – US Patent #9,355,152, #9,916,368
Granting users the ability to specify a query and a detailed scoring/ranking specification as separate aspects in a search request.
Faceted Search And Search Suggestion Method
Category: Search
Inventors: Franz Weckesser, Scott Lightner
Status: Issued – US Patents #9,424,294, #9,720,944
Generating facets and corresponding frequency counts as part of the search process by running them as part of the query in an in-memory database.
Extracting Facts From Unstructured Text
Category: Text Analysis
Inventors: Rakesh Dave, Sanjay Boddhu
Status: Issued – US Patent #9,424,524
Associating extracted facts with other features retrieved from the text and employing a fact-template store containing commonly used fact-sentence structures.
Design And Implementation Of Clustered Imdbmss
Category: In-Memory DBMS Technology
Inventors: Scott Lightner, Franz Weckesser, Telford Berkey, Joe Becknell, Bryan Zimmerman, Mats Persson
Status: Issued – US Patent #9,430,547
Broad system architecture of our in-memory computing platform, FinchDB.
Event Detection Through Text Analysis Via Dynamic, Self Learning Module
Category: Text Analysis
Inventors: Sanjay Boddhu, Rakesh Dave
Status: Issued – US Patents #9,544,361, #9,910,723
Learning different event types by extracting entities and topic vectors and comparing them to existing entities and topic vectors; developing new knowledge base entries as new entities and topic vectors are discovered.
Discovering And Exploring A Feature Knowledge Base
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Sanjay Boddhu, Robert Flagg
Status: Issued – US Patent #9,547,701
An on-the-fly, analytics-based search mechanism for live and large data streams.
Automated Discovery Of Topic Relatedness
Category: Entity Disambiguation & Knowledge Discovery
Inventors: Scott Lightner, Franz Weckesser, Sanjay Boddhu, Rakesh Dave, Robert Flagg
Status: Issued – US Patent #9,542,477
Computing topic relatedness based on topic models and using those relationships as a supplementary feature in various data and text analytics.
Searching Via Co-occurrence
Category: Search
Inventors: Scott Lightner, Franz Weckesser, Sanjay Boddhu
Status: Issued – US Patent #9,619,571
Granting users the ability to find entities of interest via entity co-occurrence, even as the data is updated and new information is discovered.
Pluggable Architecture For Embedding Analytics In Clustered Imdbmss
Category: In-Memory DBMS Technology
Inventors: Scott Lightner, Franz Weckesser
Status: Issued – US Patent #9,659,108
Ensuring each database query can specify which analytics modules and parameters are to be applied on-the-fly to intermediate query answers without having to first retrieve data out of the database.
Feature Co-occurrence Knowledge Base From A Corpus Of Documents
Category: Search
Inventors: Scott Lightner, Rakesh Dave, Sanjay Boddhu
Status: Issued – US Patent #9,922,032
A feature co-occurrence knowledge base that exploits the full range of state-of-the-art natural language process tools.
Data Ingestion Module For Event Detection And Increased Situational Awareness
Category: Text Analysis
Inventors: Rakesh Dave, Sanjay Boddhu
Status: Issued – US Patent #9,984,427
A generalizable framework to train customized and source-specific event templates and models for different input data streams.