Special Issue on Ontologies and Data Management: Part I
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Special Issue on Ontologies and Data Management: Part I Thomas Schneider1 · Mantas Šimkus2
© The Author(s) 2020
1 Introduction Modern information systems rely on a large amount of data that is often unstructured, heterogeneous, and/or incomplete. In order to align and complete data, these systems often use ontologies for representing taxonomies and background knowledge. Ontologies have been used in the Knowledge Representation (KR) subfield of Artificial Intelligence (AI) since the 1970s. They have various applications in (bio) medicine, the life sciences, linguistics, the geo-sciences, and the semantic web. Systems that use ontologies do not only access the represented knowledge, but also draw inferences, a process known as automated reasoning. Among existing ontology languages, the family of description logics (DLs) plays an important role because DLs usually provide a good balance between expressive power and decidability/complexity of the various reasoning tasks, also and especially those tasks relevant for data access. The standardized ontology language OWL 2 recommended by the World Wide Web Consortium (W3C) is based on DLs. However, there are further suitable ontology languages, such as existential rules. The title of this double special issue, Ontologies and Data Management, refers to a wide research landscape that stretches over various topics from knowledge representation and reasoning. This landscape includes theory and applications, and connects with the database “world”. The research areas covered in both parts of this special issue include ontologies, ontology languages, modelling support, reasoning systems, reasoning problems and ontology-based data access, and these research areas are highly active. This special issue gives evidence to this, as it presents a broad collection of current work on topics from these areas. Most * Thomas Schneider thomas.schneider@uni‑bremen.de Mantas Šimkus [email protected] 1
University of Bremen, Bremen, Germany
TU Wien, Wien, Austria
2
of the contributions are related to ontologies written in OWL and research on DLs. The vastness of the research landscape is reflected by the diversity of contributions in this and the next part of the special issue. A lot of people have put very significant efforts into making this special issue a reality, and we sincerely thank them. Everybody involved was and still is significantly affected by the COVID-19 crisis that hit the world in the beginning of 2020, which makes the efforts of the authors, the reviewers and all the supporting staff even more precious. We would like to thank all the authors for submitting high quality papers, and also for carefully revising them following suggestions by the reviewers. We also sincerely thank the reviewers for doing an excellent job and providing valuable feedback. Thanks to the authors and the reviewers this special issue is a collection of top quality works! The editors would also like to thank Anni-Yasmin Turhan and the Springer team for helping with all aspects of
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