%0 Conference Paper %B Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP2015) co-located with the 14th International Semantic Web Conference {(ISWC} 2015), Bethlehem, PA, USA, October 11, 2015 %D 2015 %T A Minimal Ontology Pattern for Life Cycle Assessment Data %A Krzysztof Janowicz %A Adila Krisnadhi %A Yingjie Hu %A Sangwon Suh %A Bo Pedersen Weidema %A Beatriz Rivela %A Johan Tivander %A David E. Meyer %A Gary Berg-Cross %A Pascal Hitzler %A Wesley Ingwersen %A Brandon Kuczenski %A Charles Vardeman %A Yiting Ju %B Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP2015) co-located with the 14th International Semantic Web Conference {(ISWC} 2015), Bethlehem, PA, USA, October 11, 2015 %8 10/2015 %G eng %0 Conference Paper %B LCA XV, University of British Columbia, Vancouver, Canada, October 6-8, 2015 %D 2015 %T Ontology Design Patterns for Semantically Enriched LCA %A Brandon Kuczenski %A Wesley Ingwersen %A Krzysztof Janowicz %A Pascal Hitzler %A Gary Berg-Cross %A Charles Vardeman %A Sangwon Suh %B LCA XV, University of British Columbia, Vancouver, Canada, October 6-8, 2015 %G eng %0 Conference Paper %B 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. %D 2014 %T An Ontology Design Pattern for Material Transformation %A Charles Vardeman %A Adila Krisnadhi %A Michelle Cheatham %A Krzysztof Janowicz %A Holly Ferguson %A Pascal Hitzler %A Aimee Buccellato %A Krishnaprasad Thirunarayan %A Gary Berg-Cross %A Torsten Hahmann %E de Boer, Victor %E Aldo Gangemi %E Krzysztof Janowicz %E Agnieszka Lawrynowicz %X In this work we discuss an ontology design pattern for material transformations. It models the relation between products, resources, and catalysts in the transformation process. Our axiomatization goes beyond a mere surface semantics. While we focus on the construction domain, the pattern can also be applied to chemistry and other domains. %B 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. %I CEUR-WS.org %V 1302 %P 73-77 %8 10/2014 %G eng %U http://ceur-ws.org/Vol-1302 %0 Journal Article %J Applied Ontology %D 2014 %T Semantic Web and Big Data meets Applied Ontology - The Ontology Summit 2014 %A Leo Obrst %A Michael Grüninger %A Ken Baclawski %A Mike Bennett %A Dan Brickley %A Gary Berg-Cross %A Pascal Hitzler %A Krzysztof Janowicz %A Christine Kapp %A Oliver Kutz %A Christoph Lange %A Anatoly Levenchuk %A Francesca Quattri %A Alan Rector %A Todd Schneider %A Simon Spero %A Anne Thessen %A Marcela Vegetti %A Amanda Vizedom %A Andrea Westerinen %A Matthew West %A Peter Yim %B Applied Ontology %V 9 %P 155–170 %G eng %U http://dx.doi.org/10.3233/AO-140135 %R 10.3233/AO-140135 %0 Conference Paper %B Spatial Information Theory - 11th International Conference, COSIT 2013, Scarborough, UK, September 2-6, 2013. Proceedings %D 2013 %T A Geo-ontology Design Pattern for Semantic Trajectories %A Yingjie Hu %A Krzysztof Janowicz %A David Carral %A Simon Scheider %A Werner Kuhn %A Gary Berg-Cross %A Pascal Hitzler %A Mike Dean %A Dave Kolas %K Ontology Design Pattern %K OWL %K Trajectory %X
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.
%B Spatial Information Theory - 11th International Conference, COSIT 2013, Scarborough, UK, September 2-6, 2013. Proceedings %P 438–456 %G eng %U http://dx.doi.org/10.1007/978-3-319-01790-7_24 %R 10.1007/978-3-319-01790-7_24 %0 Report %D 2012 %T Semantic Aspects of EarthCube %A Pascal Hitzler %A Krzysztof Janowicz %A Gary Berg-Cross %A Leo Obrst %A Amit Sheth %A Timothy Finin %A Isabel Cruz %XIn this document, we give a high-level overview of selected Semantic (Web) technologies, methods, and other important considerations, that are relevant for the success of EarthCube. The goal of this initial document is to provide entry points and references for discussions between the Semantic Technologies experts and the domain experts within EarthCube. The selected topics are intended to ground the EarthCube roadmap in the state of the art in semantics research and ontology engineering.
We anticipate that this document will evolve as EarthCube progresses. Indeed, all EarthCube parties are asked to provide topics of importance that should be treated in future versions of this document.
%B EarthCube report of the Technology Subcommittee of the EarthCube Semantics and Ontologies Group %G eng %0 Conference Paper %B Workshop on GIScience in the Big Data Age, In conjunction with the seventh International Conference on Geographic Information Science 2012 (GIScience 2012) %D 2012 %T Semantics and Ontologies for EarthCube %A Gary Berg-Cross %A Isabel Cruz %A Mike Dean %A Tim Finin %A Mark Gahegan %A Pascal Hitzler %A Hook Hua %A Krzysztof Janowicz %A Naicong Li %A Philip Murphy %A Bryce Nordgren %A Leo Obrst %A Mark Schildhauer %A Amit Sheth %A Krishna Sinha %A Anne Thessen %A Nancy Wiegand %A Ilya Zaslavsky %E Krzysztof Janowicz %E C. Kessler %E T. Kauppinen %E Dave Kolas %E Simon Scheider %XSemantic technologies and ontologies play an increasing role in scientific workflow systems and knowledge infrastructures. While ontologies are mostly used for the semantic annotation of metadata, semantic technologies enable searching metadata catalogs beyond simple keywords, with some early evidence of semantics used for data translation. However, the next generation of distributed and interdisciplinary knowledge infrastructures will require capabilities beyond simple subsumption reasoning over subclass relations. In this work, we report from the EarthCube Semantics Community by highlighting which role semantics and ontologies should play in the EarthCube knowledge infrastructure. We target the interested domain scientist and, thus, introduce the value proposition of semantic technologies in a non-technical language. Finally, we commit ourselves to some guiding principles for the successful implementation and application of semantic technologies and ontologies within EarthCube.
%B Workshop on GIScience in the Big Data Age, In conjunction with the seventh International Conference on Geographic Information Science 2012 (GIScience 2012) %C Columbus, Ohio, USA %G eng