Enhancing Search Results with Knowledge Graphs

Posted: 30 Jan 2020

Date Written: January 29, 2020

Abstract

Knowledge graph usage in search engines is one of the widely adopted approaches for enhancing search results: the graph is populated and structured based on a domain, and the search can directly query this for finding relevant entities. Working with scientific publications data, where main entities such as authors, documents, organizations and topics, are interlinked and provide more context when treated together, we started to leverage this natural data structure by building a citation graph. In this presentation we are going to show how we are already using a citation graph in our data ingestion pipeline to enrich data stored in search engine index and how we plan to use the graph to improve overall search experience (i.e., by improving ranking, understanding context etc.).

Keywords: Search, Knowledge Graphs

Suggested Citation

Srivastava, Shobhna and Romanenko, Iryna, Enhancing Search Results with Knowledge Graphs (January 29, 2020). Proceedings of the 3rd Annual RELX Search Summit, Available at SSRN: https://ssrn.com/abstract=3527348

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