Palantir Technologies Inc.

Kevin Zhang

David Cohen

Peter Wilczynski

David Tobin

Alexander Landau

William Waldrep

Jason Hoch

Bryan Offutt

Danielle Kramer

Robert Liu

Jeffrey Chen

Andrew Israel

Stephen Freiberg

Andrew Elder

Joel Ossher

Sharon Hao

Alexander Mark

Timothy Yousaf

Antoine Llorca

Zennard Sun

Christopher Richbourg

David Philipson

Helen Yu

Daniel Lidor

Joshua Zavilla

Matthew Avant

Matt Avant

Arjun A Nayini

Steven Freiberg

Arjun Nayini

Techniques related to searches of highly structured data are described. A body of data may be represented by an object-centric data model. For a search of the body of data, an indication of a particular search template to use may be received. The particular search template may specify one or more hierarchical object types that are within a scope of the search. The one or more hierarchical object types may be defined in the object-centric data model. The particular search template may specify at least one search field. A user interface may be generated based on the particular search template. The user interface may include the at least one search field.

Searches of highly structured data

Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Federated search of multiple sources with conflict resolution

Implementations for searching and analyzing large, object-oriented data sets in an efficient manner involving innovative user interface features and/or search algorithm functionality are disclosed. In one exemplary embodiment, a system may search for information and/or relationships based on specified search criteria and return results that may be displayed dynamically and further filtered or analyzed. Systems may involve object oriented database(s) and a software layer including a specialized user interface between the user and the database(s). The user interface may comprise various tools as well as predefined and configurable features that enable effective search of the data as well as display of search results that are configurable and readily managed to provide immediate and useful search results. The user interface may display the search results and various associated graphical representations and models, and/or provide tools enabling dynamic manipulation and display of search results or underlying object models, among other things.

Systems, methods, user interfaces and algorithms for performing database analysis and search of information involving structured and/or semi-structured data

Growing community of inventors

Palo Alto, CA, United States of America

Kevin Zhang