Knowledge Graphs for Entity-centric Information Access

Speaker:  Gianluca Demartini – Queensland, Australia
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


Knowledge Graphs (KGs) contain structured information about entities such as persons, locations, and organizations. Modern web search engines leverage such KGs to power entity-oriented search by displaying in search engine result pages (SERPs) so called entity cards that summarize the main facts about the queried entity. 
In this talk, I will first introduce the main concepts around KGs and the ‘Web of Data’ to then discuss techniques for mining the Web for entities and using KGs to create an entity-centric user experiences on the Web. Then, I will discuss entity-oriented search techniques including how to index graph-shaped data to answer queries that look for specific entities. Finally, I will discuss how to use Linked Open Data on top of classic Natural Language Processing pipelines for selecting entity types to support users browsing and reading Web pages.

About this Lecture

Number of Slides:  40
Duration:  45 minutes
Languages Available:  English
Last Updated: 

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