AppZen Award-Winning Research Paper Recognized for Insights Into Data-Driven AI Models

Authors Kunal Verma and Prateek Jain receive Semantic Web Service Associate (SWSA) Ten-Year Award

SAN JOSE, Calif., (January 13, 2021) —  AppZen, the world’s leading AI solution for modern finance teams, announced today that two members of the company’s core AI team - CTO and Co-Founder Kunal Verma and Director of Data Science Prateek Jain - were awarded the Semantic Web Science Association (SWSA) Ten-Year Award for their paper, "Ontology Alignment for Linked Open Data." 

The Semantic Web Science Association is a non-profit organization for the promotion and exchange of scholarly work in the Semantic Web, and related fields. The organization’s Ten-Year Award, presented at the annual International Semantic Web Conference (ISWC) - a leading AI conference in this field - recognizes the highest impact papers from the ISWC proceedings ten years prior (2010) based on the number of citations to the paper over the past decade. The paper discusses how web scale data can be used to improve ontology alignment and was co-authored by Professor Amit Sheth, Professor Pascal Hitzler, and Professor Peter Yeh.

“We are honored to receive this recognition for a paper that has impacted both our work and the work of many others,” said Verma. “The approaches in the paper directly influence our AI approach at AppZen, which leverages web scale data and ontologies to create an AI platform for modern finance teams.” 

AppZen AI understands financial transactions and allows finance teams to make decisions based on finance policies. A core tenet of AppZen’s approach is to combine the capabilities provided by semantic models in conjunction with machine learning and deep learning models. Semantic modeling can be greatly enhanced by leveraging data on the Web such as Linked Open Data (LOD), which includes structured form of data from several sources such as Wikipedia and data.gov. 

AppZen uses LOD and other publicly available data, combined with an in-house developed finance ontology. The resulting knowledge graph is represented in the company’s proprietary semantic model representation language, Contextual Knowledge Representation (CKR), and used in several machine learning tasks.

With digital transformation happening at a rapid pace due to remote work and changing business needs, innovation will remain top of mind for business and finance leaders. To help companies navigate, prioritize, and plan, AppZen is hosting the Mastermind Finance AI Virtual Summit on February 9-10. To secure your spot, register here.

About AppZen

AppZen is the leader in AI software for finance teams. Over 1,800 global enterprises use AppZen to automate manual finance processes, reduce expenditures, and gain real-time insights into their business spend trends. Our patented software technology delivers AI deep learning, semantic analysis, and Star Match™, the only automated spend validation that processes intelligence from thousands of data sources, documents, and images to understand financial transactions and make decisions based on finance policies. AppZen is the platform of choice for today’s digital CFO and their teams, including four of the top five banks, four of the top ten media companies, four of the top ten pharmaceutical manufacturers, two of the top five aerospace companies, and six of the top ten software providers.

Visit us at www.appzen.com and follow us on Twitter at @AppZen.

Media Contact:

Penny Desatnik
Head of Global PR
pr@appzen.com