Title: | Tutorial: Methods and Tools for Modular Ontology Modeling |
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Author(s): | Karl Hammar, PascalHitzler, Cogan Shimizu, Md Kamruzzaman Sarker |
Goal:
To offer support to the ontology designers, data publishers, and software developers interested in employing semantic technologies and ontologies by presenting the state-of-the-art in terms of methods and tools, exemplifying their usage in several real-world cases.
Brief description
The tutorial starts with a brief introduction to ontology design and design patterns, and then introduces modeling methods and design considerations by means of examples from different domains. We will run three hands-on sessions on ontology engineering with design patterns. In each session, the participants will model ontologies that contribute to solving the problem set forth in the scenario, using different tools and techniques. Each session will begin with a short introduction to the tooling and its basic functionality, before the attendees and tutors begin to jointly develop solutions. At regular intervals throughout the sessions, the tutors will highlight observed shared challenges, recommendations on how to overcome those challenges, or other lessons learned in the process. Attendees are required to have prior knowledge of RDF and OWL.
Resources:
Exercises: No exercises.
Affiliation: Jönköping University, Sweden
Email: karl.hammar@ju.se
Web: http://karlhammar.com
Karl received a Ph.D. at Linköping University in 2017, and is employed within the Semantic Technologies Group at Jönköping University. Karl's research focus is on developing methods and tools for finding, specializing, and combining Ontology Design Patterns, and on ascertaining which qualities and features ODPs need to display in order to support such methods and tools. Karl also manages the Software Engineering and Mobile Platforms bachelor program at Jönköping University. He has taught a number of courses in web and distributed systems development, information logistics, etc. on undergraduate and graduate levels. He has also held workshops and tutorials supporting the use of ODPs and the eXtreme Design method within several research projects, involving both academia and industry, as well as at ISWC 2016 and ESWC 2017.
Affiliation: Data Semantics Lab, Wright State University, USA
Email: pascal@pascal-hitzler.de
Web: http://www.pascal-hitzler.de
Pascal is NCR endowed Distinguished Professor and Director of Data Science at the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio, U.S.A. From 2004 to 2009, he was Akademischer Rat at the Institute for Applied Informatics and Formal Description Methods (AIFB) at the University of Karlsruhe in Germany, and from 2001 to 2004 he was postdoctoral researcher at the Artificial Intelligence institute at TU Dresden in Germany. In 2001 he obtained a PhD in Mathematics from the National University of Ireland, University College Cork, and in 1998 a Diploma (Master equivalent) in Mathematics from the University of Tübingen in Germany. His research record lists over 400 publications in such diverse areas as semantic web, neural-symbolic integration, knowledge representation and reasoning, machine learning, denotational semantics, and set-theoretic topology. He is Editor-in-chief of the Semantic Web journal by IOS Press, and of the IOS Press book series Studies on the Semantic Web. For more information, see http://www.pascal-hitzler.de.
Affiliation: Data Semantics Lab, Wright State University, USA
Email: shimizu.5@wright.edu
Web: http://www.coganshimizu.com
Cogan Shimizu is a PhD student at Wright State and a DAGSI (Dayton Area Graduate Studies Insitute) Fellow. His current research trajectory involves advancing the ontology engineering process with the intent to culminate in improved ontology learning techniques. To this end, he has created several tools for visualizing and explaining ODPs: OWL2DL, SDOnt, and the OPLA Annotator; these tools are to be presented at this tutorial. Additionally, in conjunction with the Battlespace Visualization Laboratory of the 711th wing of the United States Air Force, he is working on a Semantically Enhanced Visualization Framework (SEVFr).
Affiliation: Data Semantics Lab, Wright State University, USA
Email: sarker.3@wright.edu
Web: http://dase.cs.wright.edu/people/kamruzzaman-sarker
Md Kamruzzaman Sarker is a PhD student at Wright State University. His current research focuses on making machine learning algorithms decision more transparent. Besides this he is also interested in making ontology engineering processes easier and more human friendly. For the latter he created both the OWLAx and the ROWL plugin for Protege, both of which will be presented at the tutorial. Before starting his PhD he worked in industry, at Samsung Electronics, as a software engineer.