TY - CONF T1 - An Ontology Design Pattern for Activity Reasoning T2 - Proceedings of the 5th Workshop on Ontology and Semantic Web Patterns (WOP2014) co-located with the 13th International Semantic Web Conference {(ISWC} 2014), Riva del Garda, Italy, October 19, 2014. Y1 - 2014 A1 - Amin Abdalla A1 - Yingjie Hu A1 - David Carral A1 - Naicong Li A1 - Krzysztof Janowicz KW - Activity KW - Ontology Design Pattern KW - OWL AB -

Activity is an important concept in many fields, and a number of activity-related ontologies have been developed. While suitable for their designated use cases, these ontologies cannot be easily generalized to other applications. This paper aims at providing a generic ontology design pattern to model the common core of activities in different domains. Such a pattern can be used as a building block to construct more specific activity ontologies.

JF - Proceedings of the 5th Workshop on Ontology and Semantic Web Patterns (WOP2014) co-located with the 13th International Semantic Web Conference {(ISWC} 2014), Riva del Garda, Italy, October 19, 2014. UR - http://ceur-ws.org/Vol-1302/paper8.pdf 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 -