TY - CONF T1 - Ontology Design Patterns for Ocean Science Data Discovery T2 - Spatial reference in the Semantic Web and in Robotics (Dagstuhl Seminar 14142) Y1 - 2014 A1 - Pascal Hitzler A1 - Adila Krisnadhi A1 - Robert Arko A1 - Suzanne Carbotte A1 - Cynthia Chandler A1 - Michelle Cheatham A1 - Timothy Finin A1 - Krzysztof Janowicz A1 - Thomas Narock A1 - Lisa Raymond A1 - Adam Shepherd A1 - Peter Wiebe ED - Aldo Gangemi ED - Verena V. Hafner ED - Werner Kuhn ED - Simon Scheider ED - Luc Steels JF - Spatial reference in the Semantic Web and in Robotics (Dagstuhl Seminar 14142) VL - 3 IS - 4 ER - TY - CONF T1 - A Geo-ontology Design Pattern for Semantic Trajectories T2 - Spatial Information Theory - 11th International Conference, COSIT 2013, Scarborough, UK, September 2-6, 2013. Proceedings Y1 - 2013 A1 - Yingjie Hu A1 - Krzysztof Janowicz A1 - David Carral A1 - Simon Scheider A1 - Werner Kuhn A1 - Gary Berg-Cross A1 - Pascal Hitzler A1 - Mike Dean A1 - Dave Kolas KW - Ontology Design Pattern KW - OWL KW - Trajectory AB -

Trajectory data have been used in a variety of studies, including human behavior analysis, transportation management, and wildlife tracking. While each study area introduces a different perspective, they share the need to integrate positioning data with domain-specific information. Semantic annotations are necessary to improve discovery, reuse, and integration of trajectory data from different sources. Consequently, it would be beneficial if the common structure encountered in trajectory data could be annotated based on a shared vocabulary, abstracting from domain-specific aspects. Ontology design patterns are an increasingly popular approach to define such flexible and self-contained building blocks of annotations. They appear more suitable for the annotation of interdisciplinary, multi-thematic, and multi-perspective data than the use of foundational and domain ontologies alone. In this paper, we introduce such an ontology design pattern for semantic trajectories. It was developed as a community effort across multiple disciplines and in a data-driven fashion. We discuss the formalization of the pattern using the Web Ontology Language (OWL) and apply the pattern to two different scenarios, personal travel and wildlife monitoring.

JF - Spatial Information Theory - 11th International Conference, COSIT 2013, Scarborough, UK, September 2-6, 2013. Proceedings UR - http://dx.doi.org/10.1007/978-3-319-01790-7_24 ER -