@conference {652, title = {Computational Environment: An ODP to Support Finding and Recreating Computational Analyses}, booktitle = {8th Workshop on Ontology Design and Patterns - WOP2017}, year = {2017}, author = {Michelle Cheatham and Charles Vardeman and Nazifa Karima and Pascal Hitzler} } @article {394, title = {An Ontology Design Pattern and Its Use Case for Modeling Material Transformation}, journal = {Semantic Web}, volume = {8}, year = {2017}, pages = {731}, chapter = {719}, doi = {10.3233/SW-160231}, author = {Charles Vardeman and Adila Krisnadhi and Michelle Cheatham and Krzysztof Janowicz and Holly Ferguson and Pascal Hitzler and Aimee Buccellato} } @conference {479, title = {The Detector Final State pattern: Using the Web Ontology Language to describe a Physics Analysis}, booktitle = {Presented at the 17th International workshop on Advanced Computing and Analysis Techniques in physics research (ACAT), Valparaiso, Chile, January 2016.}, year = {2016}, note = {

Presented at the\ 17th International workshop on Advanced Computing and Analysis Techniques in physics research (ACAT), Valparaiso, Chile, January 2016.

}, abstract = {

The Data and Software Preservation for Open Science (DASPOS) collaboration has developed an ontology for describing particle physics analyses. The ontology, a series of data triples, is designed to describe dataset, selection cuts, and measured quantities for an analysis. The ontology specification, written in the Web Ontology Language (OWL), is designed to be interpreted by many pre-existing tools, including search engines, and to apply to both theory and experiment published papers. This paper gives an introduction to OWL and this branch of library science from a particle physicist{\textquoteright}s point of view, specifics of the Detector Final State Pattern, and how it is designed to be used in the field of particle physics primarily to archive and recall analyses. A general introduction to DASPOS and how its other work fits in with this topic will also be described.

}, author = {Gordon Watts and Charles Vardeman and David Carral and Pascal Hitzler} } @article {554, title = {Use case for the Modified Hazardous Situation ODP}, year = {2016}, author = {Michelle Cheatham and Cogan Shimizu and Holly Ferguson and Charles Vardeman} } @conference {388, title = {A Minimal Ontology Pattern for Life Cycle Assessment Data}, booktitle = {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}, year = {2015}, month = {10/2015}, author = {Krzysztof Janowicz and Adila Krisnadhi and Yingjie Hu and Sangwon Suh and Bo Pedersen Weidema and Beatriz Rivela and Johan Tivander and David E. Meyer and Gary Berg-Cross and Pascal Hitzler and Wesley Ingwersen and Brandon Kuczenski and Charles Vardeman and Yiting Ju} } @conference {387, title = {An Ontology Design Pattern for Dynamic Relative Relationships}, booktitle = {Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pensylvania, USA, October 11, 2015}, volume = {1461}, year = {2015}, month = {10/2015}, publisher = {CEUR-WS.org}, organization = {CEUR-WS.org}, url = {http://ceur-ws.org/Vol-1461/WOP2015_paper_3.pdf}, author = {Holly Ferguson and Adila Krisnadhi and Charles Vardeman}, editor = {Eva Blomqvist and Pascal Hitzler and Adila Krisnadhi and Thomas Narock and Monika Solanki} } @conference {386, title = {An Ontology Design Pattern for Particle Physics Analysis}, booktitle = {Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pensylvania, USA, October 11, 2015}, volume = {1461}, year = {2015}, month = {10/2015}, publisher = {CEUR-WS.org}, organization = {CEUR-WS.org}, abstract = {

The detector final state is the core element of particle physics analysis as it defines the physical characteristics that form the basis of the measurement presented in a published paper. Although they are a crucial part of the research process, detector final states are not yet formally described, published in papers or searchable in a convenient way. This paper aims at providing an ontology pattern for the detector final state that can be used as a building block for an ontology covering the whole particle physics analysis life cycle.

}, url = {http://ceur-ws.org/Vol-1461/WOP2015_pattern_abstract_5.pdf}, author = {David Carral and Michelle Cheatham and Sunje Dallmeir-Tiessen and Patricia Herterich and Michael D. Hildreth and Pascal Hitzler and Adila Krisnadhi and Kati Lassila-Perini and Elizabeth Sexton-Kennedy and Charles Vardeman and Gordon Watts}, editor = {Eva Blomqvist and Pascal Hitzler and Adila Krisnadhi and Thomas Narock and Monika Solanki} } @conference {484, title = {Ontology Design Patterns for Semantically Enriched LCA}, booktitle = {LCA XV, University of British Columbia, Vancouver, Canada, October 6-8, 2015}, year = {2015}, author = {Brandon Kuczenski and Wesley Ingwersen and Krzysztof Janowicz and Pascal Hitzler and Gary Berg-Cross and Charles Vardeman and Sangwon Suh} } @article {56, title = {Five stars of Linked Data vocabulary use}, journal = {Semantic Web}, volume = {5}, year = {2014}, pages = {173{\textendash}176}, abstract = {In 2010 Tim Berners-Lee introduced a 5 star rating to his Linked Data design issues page to encourage data publishers along the road to good Linked Data. What makes the star rating so effective is its simplicity, clarity, and a pinch of psychology {\textendash} is your data 5 star? While there is an abundance of 5 star Linked Data available today, finding, querying, and integrating/interlinking these data is, to say the least, difficult. While the literature has largely focused on describing datasets, e.g., by adding provenance information, or interlinking them, e.g., by co-reference resolution tools, we would like to take Berners-Lee{\textquoteright}s original proposal to the next level by introducing a 5 star rating for Linked Data vocabulary use.}, doi = {10.3233/SW-140135}, url = {http://dx.doi.org/10.3233/SW-140135}, author = {Krzysztof Janowicz and Pascal Hitzler and Benjamin Adams and Dave Kolas and Charles Vardeman} } @conference {146, title = {An Ontology Design Pattern for Material Transformation}, booktitle = {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.}, volume = {1302}, year = {2014}, month = {10/2014}, pages = {73-77}, publisher = {CEUR-WS.org}, organization = {CEUR-WS.org}, abstract = {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.}, url = {http://ceur-ws.org/Vol-1302}, author = {Charles Vardeman and Adila Krisnadhi and Michelle Cheatham and Krzysztof Janowicz and Holly Ferguson and Pascal Hitzler and Aimee Buccellato and Krishnaprasad Thirunarayan and Gary Berg-Cross and Torsten Hahmann}, editor = {de Boer, Victor and Aldo Gangemi and Krzysztof Janowicz and Agnieszka Lawrynowicz} } @conference {129, title = {An Ontology Design Pattern for Cartographic Map Scaling}, booktitle = {The Semantic Web: Semantics and Big Data, 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013. Proceedings}, volume = {7882}, year = {2013}, pages = {76{\textendash}93}, publisher = {Springer}, organization = {Springer}, abstract = {

The concepts of scale is at the core of cartographic abstraction and mapping. It defines which geographic phenomena should be displayed, which type of geometry and map symbol to use, which measures can be taken, as well as the degree to which features need to be exaggerated or spatially displaced. In this work, we present an ontology design pattern for map scaling using the Web Ontology Language (OWL) within a particular extension of the OWL RL profile. We explain how it can be used to describe scaling applications, to reason over scale levels, and geometric representations. We propose an axiomatization that allows us to impose meaningful constraints on the pattern, and, thus, to go beyond simple surface semantics. Interestingly, this includes several functional constraints currently not expressible in any of the OWL profiles. We show that for this specific scenario, the addition of such constraints does not increase the reasoning complexity which remains tractable.

}, keywords = {Map Scaling, Ontology Design Patterns, OWL}, doi = {10.1007/978-3-642-38288-8_6}, url = {http://dx.doi.org/10.1007/978-3-642-38288-8_6}, author = {David Carral and Simon Scheider and Krzysztof Janowicz and Charles Vardeman and Adila Krisnadhi and Pascal Hitzler}, editor = {Philipp Cimiano and {\'O}scar Corcho and Valentina Presutti and Laura Hollink and Sebastian Rudolph} }