Knowledge Discovery, Knowledge Engineering and Knowledge Management

This book constitutes the extended and revised versions of a set of selected papers from the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021, on October 2527, 2021. The conference was held virtually due to the COVID-19 crisis.
The 9 full papers included in this book were carefully reviewed and selected from 103 submissions. The purpose of the IC3K is to bring together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.

Klappentext

Pathology Data Prioritisation: A Study of Using Multi-variate Time Series without a Ground Truth.- From Event Tracking to Event Modelling: Understanding as a Paradigm Shift.- Exploring Semantic Similarity between German Legal Texts and Referred Laws.- Multidimensional Fairness in Paper Recommendation.- The Foundational Ontology ThingFO: Architectural Aspects, Concepts, and Applicability.- Evidence in Policymaking: A Systematic Approach.- BERT-based Ensemble Learning Approach for Sentiment Analysis.- An Ontology-driven Approach to the Analytical Platform Development for Data-intensive Domains.- How to Design a Business-Oriented Digitalized Innovation Environment: A Multi-Perspective Approach.

Inhalt
Pathology Data Prioritisation: A Study of Using Multi-variate Time Series without a Ground Truth.- From Event Tracking to Event Modelling: Understanding as a Paradigm Shift.- Exploring Semantic Similarity between German Legal Texts and Referred Laws.- Multidimensional Fairness in Paper Recommendation.- The Foundational Ontology ThingFO: Architectural Aspects, Concepts, and Applicability.- Evidence in Policymaking: A Systematic Approach.- BERT-based Ensemble Learning Approach for Sentiment Analysis.- An Ontology-driven Approach to the Analytical Platform Development for Data-intensive Domains.- How to Design a Business-Oriented Digitalized Innovation Environment: A Multi-Perspective Approach.