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Market and Technology Monitoring Driven by Knowledge Graphs

: Belger, A.; Budinich, R.; Blum, R.; Zablocki, M.; Zimmermann, R.


Harth, A.:
The Semantic Web. ESWC 2020 Satellite Events. Revised Selected Papers : Heraklion, Crete, Greece, May 31 - June 4, 2020
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 12124)
ISBN: 978-3-030-62326-5 (Print)
ISBN: 978-3-030-62327-2 (Online)
Extended Semantic Web Conference (ESWC) <17, 2020, Online>
Fraunhofer IIS ()

In this paper, we describe an ongoing research project that aims to detect and trace trends for markets and technologies, hidden behind the vast amount of diverse information populated through the whole world. Our goal is to detect and follow upcoming and ongoing trends in a domain-agnostic and automatized fashion. In this paper we describe our experiences from the initial project steps and our approach using a continuously growing Knowledge Graph. We use a general model that allows us to capture identified mentions and relationships and resolve them into a number of entity and fact classes. Based on two business use cases we present first results where we already gained new insights into various technological developments without the intervention of human domain experts.