ABSTRACT
Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field. © 2021 Akademische Verlagsgesellschaft AKA GmbH, Berlin. All rights reserved.
ABSTRACT
In the last several years, innovation has received an amplified focus as various traditional businesses have been interrupted by new business models as well as the Covid-19 pandemic. Large organizations are often challenged to keep innovating lest they be disrupted by new upstart business models or unforeseen shocks. This case study explores three dimensions of achieving systematic organizational innovation, specific to internal business optimization: a process framework for managing and tracking innovation activities and outcomes;an examination of the front-end of this process related to generating ideas for innovation;and a mapping of industrial engineering graduate courses to the innovation process framework. Being a case study, this paper will provide some key learnings for areas to focus on and what works when innovation becomes a priority. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.