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Knowledge graphs take the stage at KMWorld 2019

Knowledge graphs are having their time in the spotlight and at KMWorld 2019 many speakers stressed how the solution can transform information within companies.

“Knowledge graphs are the future of taxonomy work,” said Mike Doane, senior lecturer, Information School, University of Washington, during his session. “They are the logical extensions of ontologies.”

Knowledge graphs represent a collection of interlinked descriptions of entities – real-world objects, events, situations, or abstract concepts.

Videos of KMWorld 2019 awards presentations,  keynotes, and sessions can be found here.

They can be used to organize active metadata, according to Helmut Nagy, COO, Semantic Web Company GmbH and Sebastian Gabler, director of sales, Semantic Web Company, Austria.

Knowledge graphs built on top of semantic technologies, supported by machine learning technologies, can become a paradigm change in metadata management.

Knowledge graphs can aid in information retrieval by semantic tagging, query expansion, faceted search, classification, or similarity-based recommender.

Knowledge graphs can be used for data integration and analytics, Nagy and Gabler explained. The solution can offer metadata enrichment, linked data, text mining, entity-centric search, agile reporting. It can also integrate semantics into dialogue workflows for virtual assistants.

It’s all about aligning content to intent, said Dan Segal, corporate taxonomist, IBM, during his session, “Make Beautiful Metadata: Using Knowledge Graphs to Improve Relevance in Automated Tagging.”

“We can extract additional signals from the text, and boost recall, by leveraging relationships from a knowledge graph,” Segal said.

Jans Aasman, CEO, Franz Inc. – AllegroGraph, said 2018 was the rise of the knowledge graphs and since then there have been many interesting ways to use it.

“Most knowledge graphs in the enterprise are 360 views on customers,” Aasman said. “To really understand your customer you need to listen to what they say.”

An example of recent applications of knowledge graphs is the Noam Chomsky Knowledge Graph which incorporates hundreds of articles and numerous books that Chomsky has authored about linguistics, mass media, politics, and war.

According to Aasman, a combination of AI techniques and knowledge graphs can be used to transform text-heavy applications into an interactive response system that can be used by scientists, technologists, politicians, and scholars along with smart applications, intelligent chatbots, and question/answering machines, as well as other AI, and data systems.

KMWorld 2019 is a part of a unique program of five co-located conferences, which also includes Enterprise Search & Discovery, Office 365 Symposium, Taxonomy Boot Camp, and Text Analytics Forum.

Many speakers at KMWorld 2019 are making their presentations available at www.kmworld.com/Conference/2019/Presentations.aspx.


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