Neelansh Garg

Title: Neelansh Garg: Innovator in Graph Data Structures

Introduction

Neelansh Garg is an accomplished inventor based in Menlo Park, CA. He has made significant contributions to the field of data structures, particularly in the area of graph data representation and ontological knowledge. His innovative approach has led to the development of a unique method that enhances the searchability of graph data.

Latest Patents

Neelansh Garg holds a patent titled "Generation and use of searchable graph data structure based on ontological knowledge." This patent describes a method that includes parsing a natural language query to generate terms. The method also involves linking these terms to entities within a graph data structure, which consists of a first layer of nodes connected by edges. The entities are selected from among the nodes and edges, and the graph data structure features a meta layer with tags associated with the edges and nodes. These tags define an ontology for the entities. A term is linked to an entity when it matches, and the method generates a set of paths between selected tags in the meta layer. Each selected tag corresponds to an edge in the graph that matches a term extracted from the natural language query. Finally, the method converts the set of paths into a structured query language statement.

Career Highlights

Neelansh Garg is currently employed at Schlumberger Technology Corporation, where he continues to innovate and develop advanced technologies. His work focuses on improving data structures and enhancing the efficiency of data retrieval processes.

Collaborations

Neelansh collaborates with Christopher Gerard Lunny, contributing to various projects and initiatives within their organization.

Conclusion

Neelansh Garg's contributions to the field of graph data structures and his innovative patent demonstrate his expertise and commitment to advancing technology. His work at Schlumberger Technology Corporation highlights his role as a key player in the industry.