Oivind Wang

Title: Inventor Oivind Wang: Innovating Graph Query Technologies

Introduction

Oivind Wang is a prominent inventor based in Oslo, Norway, recognized for his contributions to the field of graph technology and search result ranking. With a remarkable portfolio of two patents, Wang is actively shaping the landscape of data querying and retrieval.

Latest Patents

Oivind Wang's latest patents reflect his expertise in enhancing graph queries and search result management. His first patent, *Ranking Enterprise Graph Queries*, presents a novel method where a graph query is executed against a graph index linking actors with objects through edges. This innovation utilizes a graph ranking model to prioritize query results based on edge data, effectively refining the search outcomes.

The second patent, *Re-Ranking Search Results*, introduces a user-centered approach to configuring ranking rules for search results. This innovation enables users to customize how results are displayed, allowing for the removal of irrelevant items, adjusting result rankings, and utilizing a Graphical User Interface (GUI) for seamless configuration. Moreover, it incorporates query language operators adhering to standard syntax, enhancing user interaction with the system.

Career Highlights

Oivind Wang is currently associated with Microsoft Technology Licensing, LLC, where his innovative approach to technology has contributed to advancing the capabilities of search queries and graph analysis. His work aims to bridge complex data with user needs, making substantial contributions to modern data management.

Collaborations

Throughout his career, Wang has collaborated with notable colleagues such as Nicolai Bodd and Victor Poznanski. These associations have further enriched his research and development endeavors, fostering an environment of collective innovation.

Conclusion

Oivind Wang’s ongoing work in graph technology exemplifies the importance of innovation in data querying and information retrieval. Through his patents, he continues to pave the way for more intuitive and effective data management solutions, marking him as a significant figure in his field.