@article {480, title = {Considerations regarding Ontology Design Patterns}, journal = {Semantic Web}, volume = {7}, year = {2016}, pages = {1-7}, author = {Eva Blomqvist and Pascal Hitzler and Krzysztof Janowicz and Adila Krisnadhi and Thomas Narock and Monika Solanki} } @article {392, title = {The {GeoLink} Framework for Pattern-based Linked Data Integration}, journal = {Proceedings of the ISWC 2015 Posters \& Demonstrations Track}, year = {2015}, month = {10/2015}, author = {Adila Krisnadhi and Yingjie Hu and Krzsyztof Janowicz and Pascal Hitzler and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Douglas Fils and Timothy Finin and Peng Ji and Matthew Jones and Nazifa Karima and Kerstin Lehnert and Audrey Mickle and Thomas Narock and Margaret O{\textquoteright}Brien and Lisa Raymond and Adam Shepherd and Mark Schildhauer and Peter Wiebe} } @conference {393, title = {The {GeoLink} Modular Oceanography Ontology}, booktitle = {The Semantic Web - ISWC 2015. 14th International Semantic Web Conference, Bethlehem, Pennsylvania, United States, October 11-15, 2015}, year = {2015}, month = {10/2015}, publisher = {Springer}, organization = {Springer}, author = {Adila Krisnadhi and Yingjie Hu and Krzysztof Janowicz and Pascal Hitzler and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Douglas Fils and Timothy Finin and Peng Ji and Matthew Jones and Nazifa Karima and Kerstin Lehnert and Audrey Mickle and Thomas Narock and Margaret O{\textquoteright}Brien and Lisa Raymond and Adam Shepherd and Mark Schildhauer and Peter Wiebe} } @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 {321, title = {Ontology Design Patterns: Bridging the Gap Between Local Semantic Use Cases and Large-Scale, Long-Term Data Integration}, booktitle = {European Geosciences Union General Assembly 2015, Vienna, Austria, 12 - 17 April 2015}, year = {2015}, author = {Adam Shepherd and Robert Arko and Adila Krisnadhi and Pascal Hitzler and Krzysztof Janowicz and Cynthia Chandler and Thomas Narock and Michelle Cheatham and Mark Schildhauer and Matthew Jones and Lisa Raymond and Audrey Mickle and Timothy Finin and Douglas Fils} } @conference {390, title = {An Ontology For Specifying Spatiotemporal Scopes in Life Cycle Assessment}, booktitle = {Proceedings of the 1st International Diversity++ Workshop co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, USA, October 12, 2015}, volume = {1501}, year = {2015}, month = {10/2015}, pages = {25-30}, publisher = {CEUR-WS.org}, organization = {CEUR-WS.org}, url = {http://ceur-ws.org/Vol-1501/Diversity2015-paper_4.pdf}, author = {Bo Yan and Yingjie Hu and Brandon Kuczenski and Krzsyztof Janowicz and Andrea Ballatore and Adila Krisnadhi and Pascal Hitzler and Sangwon Suh and Wesley Ingwersen}, editor = {Claudia d{\textquoteright}Amato and Freddy L{\'e}cu{\'e} and Raghava Mutharaju and Thomas Narock and Fabian Wirth} } @inbook {385, title = {Ontology Pattern Modeling for Cross-Repository Data Integration in the Ocean Sciences: The Oceanographic Cruise Example}, booktitle = {The Semantic Web in Earth and Space Science: Current Status and Future Directions}, year = {2015}, pages = {256-284}, publisher = {IOS Press}, organization = {IOS Press}, abstract = {EarthCube is a major effort of the National Science Foundation to establish a next-generation knowledge architecture for the broader geosciences. Data storage, retrieval, access, and reuse are central parts of this new effort. Currently, EarthCube is organized around several building blocks and research coordination networks. OceanLink is a semantics-enabled building block that aims at improving data retrieval and reuse via ontologies, Semantic Web technologies, and Linked Data for the ocean sciences. Cruises, in the sense of research expeditions, are central events for ocean scientists. Consequently, information about these cruises and the involved vessels is of primary interest for oceanographers, and thus, needs to be shared and made retrievable. In this paper, we report the use of a design pattern-centric strategy to model Cruise for OceanLink data integration. We provide a formal axiomatization of the introduced pattern using the Web Ontology Language, explain design choices and discuss the planned deployment and application scenarios of our model.}, author = {Adila Krisnadhi and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Timothy Finin and Pascal Hitzler and Krzysztof Janowicz and Thomas Narock and Lisa Raymond and Adam Shepherd and Peter Wiebe} } @conference {391, title = {{R2R+BCO-DMO} {\textendash} Linked Oceanographic Datasets}, booktitle = {Proceedings of the 1st International Diversity++ Workshop co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, USA, October 12, 2015}, volume = {1501}, year = {2015}, month = {10/2015}, pages = {15-24}, publisher = {CEUR-WS.org}, organization = {CEUR-WS.org}, abstract = {The Biological and Chemical Oceanography Data Management Office (BCO-DMO) and the Rolling Deck to Repository (R2R) program are two key data repositories for oceanographic research, supported by the U.S. National Science Foundation (NSF). R2R curates digital data and documentation generated by environmental sensor systems installed on vessels from the U.S. academic research fleet, with support from the NSF Oceanographic Technical Services and Arctic Research Logistics Programs. BCO-DMO human-curates and maintains data and metadata including biological, chemical, and physical measurements and results from projects funded by the NSF Biological Oceanography, Chemical Oceanography, and Antarctic Organisms \& Ecosystems Programs. These two repositories have a strong connection, and document several thousand U.S. oceanographic research expeditions since the 1970{\textquoteright}s. Recently, R2R and BCO-DMO have made their metadata collections available as Linked Data, accessible via public SPARQL endpoints. In this paper, we report on these datasets.}, author = {Adila Krisnadhi and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Pascal Hitzler and Yingjie Hu and Krzysztof Janowicz and Peng Ji and Nazifa Karima and Adam Shepherd and Peter Wiebe}, editor = {Claudia d{\textquoteright}Amato and Freddy L{\'e}cu{\'e} and Raghava Mutharaju and Thomas Narock and Fabian Wirth} } @conference {288, title = {Enhancing Ocean Research Data Access}, booktitle = {European Geosciences Union General Assembly 2014}, year = {2014}, address = {Vienna, Austria}, author = {Cynthia Chandler and Robert Groman and Adam Shepherd and Molly Allison and Robert Arko and Yu Chen and Peter Fox and David Glover and Pascal Hitzler and Adam Leadbetter and Thomas Narock and Patrick West and Peter Wiebe} } @conference {320, title = {The OceanLink Project}, booktitle = {American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014}, year = {2014}, author = {Thomas Narock and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Timothy Finin and Pascal Hitzler and Adila Krisnadhi and Lisa Raymond and Adam Shepherd and Peter Wiebe} } @conference {144, title = {The {OceanLink} project}, booktitle = {2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014}, year = {2014}, month = {10/2014}, pages = {14-21}, publisher = {{IEEE}}, organization = {{IEEE}}, abstract = {Today{\textquoteright}s scientific investigations are producing large numbers of scholarly products. These products continue to increase in diversity and complexity as researchers recognize that scholarly achievements are not only published articles but also datasets, software, and associated supporting materials. OceanLink is an online platform that addresses scholarly discovery and collaboration in the ocean sciences. The OceanLink project leverages Semantic Web technologies, web mining, and crowdsourcing to identify links between data centers, digital repositories, and professional societies to enhance discovery, enable collaboration, and begin to assess research contribution.}, isbn = {978-1-4799-5665-4}, doi = {10.1109/BigData.2014.7004347}, url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6973861}, author = {Thomas Narock and Robert Arko and Suzanne Carbotte and Adila Krisnadhi and Pascal Hitzler and Michelle Cheatham and Adam Shepherd and Cynthia Chandler and Lisa Raymond and Peter Wiebe and Timothy Finin}, editor = {Jimmy Lin and Jian Pei and Xiaohua Hu and Wo Chang and Raghunath Nambiar and Charu Aggarwal and Nick Cercone and Vasant Honavar and Jun Huan and Bamshad Mobasher and Saumyadipta Pyne} } @conference {399, title = {Ontology Design Patterns for Ocean Science Data Discovery}, booktitle = {Spatial reference in the Semantic Web and in Robotics (Dagstuhl Seminar 14142)}, volume = {3}, year = {2014}, author = {Pascal Hitzler and Adila Krisnadhi and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Timothy Finin and Krzysztof Janowicz and Thomas Narock and Lisa Raymond and Adam Shepherd and Peter Wiebe}, editor = {Aldo Gangemi and Verena V. Hafner and Werner Kuhn and Simon Scheider and Luc Steels} } @article {306, title = {An Ontology Pattern for Oceanograhic Cruises: Towards an Oceanographer{\textquoteright}s Dream of Integrated Knowledge Discovery}, year = {2014}, abstract = {

EarthCube is a major effort of the National Science Foundation to establish a next-generation knowledge architecture for the broader geosciences. Data storage, retrieval, access, and reuse are central parts of this new effort. Currently, EarthCube is organized around several building blocks and research coordination networks. OceanLink is a semanticsenabled building block that aims at improving data retrieval and reuse via ontologies, Semantic Web technologies, and Linked Data for the ocean sciences. Cruises, in the sense of research expeditions, are central events for ocean scientists. Consequently, information about these cruises and the involved vessels has to be shared and made retrievable. For example, the ability to find cruises in the vicinity of physiographic features of interest, e.g., a hydrothermal vent field or a fracture zone, is of primary interest for oceanographers. In this paper, we use a design pattern-centric strategy to engineer ontologies for OceanLink. We provide a formal axiomatization of the introduced patterns and ontologies using the Web Ontology Language, explain design choices, discuss the re-usability of our models, and provide lessons learned for the future geo-ontologies.

}, author = {Adila Krisnadhi and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Timothy Finin and Pascal Hitzler and Krzysztof Janowicz and Thomas Narock and Lisa Raymond and Adam Shepherd and Peter Wiebe} } @conference {318, title = {Provenance Usage in the OceanLink Project}, booktitle = {American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014.}, year = {2014}, author = {Thomas Narock and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Douglas Fils and Timothy Finin and Pascal Hitzler and Krzysztof Janowicz and Matthew Jones and Adila Krisnadhi and Kerstin Lehnert and Audrey Mickle and Lisa Raymond and Mark Schildhauer and Adam Shepherd and Peter Wiebe} } @conference {287, title = {Semantic Entity Pairing for Improved Data Validation and Discovery}, booktitle = { European Geosciences Union General Assembly 2014, Vienna, Austria, 27 April - 02 May 2014}, volume = {16}, year = {2014}, month = {05/2014}, pages = {2476}, abstract = {

One of the central incentives for linked data implementations is the opportunity to leverage the rich logic inherent in structured data. The logic embedded in semantic models can strengthen capabilities for data discovery and data validation when pairing entities from distinct, contextually-related datasets. The creation of links between the two datasets broadens data discovery by using the semantic logic to help machines compare similar entities and properties that exist on different levels of granularity. This semantic capability enables appropriate entity pairing without making inaccurate assertions as to the nature of the relationship. Entity pairing also provides a context to accurately validate the correctness of an entity{\textquoteright}s property values - an exercise highly valued by data management practices who seek to ensure the quality and correctness of their data. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) semantically models metadata surrounding oceanographic researchcruises, but other sources outside of BCO-DMO exist that also model metadata about these same cruises. For BCO-DMO, the process of successfully pairing its entities to these sources begins by selecting sources that are decidedly trustworthy and authoritative for the modeled concepts. In this case, the Rolling Deck to Repository (R2R) program has a well-respected reputation among the oceanographic research community, presents a data context that is uniquely different and valuable, and semantically models its cruise metadata. Where BCO-DMO exposes the processed, analyzed data products generated by researchers, R2R exposes the raw shipboard data that was collected on the same research cruises. Interlinking these cruise entities expands data discovery capabilities but also allows for validating the contextual correctness of both BCO-DMO{\textquoteright}s and R2R{\textquoteright}s cruise metadata. Assessing the potential for a link between two datasets for a similar entity consists of aligning like properties and deciding on the appropriate semantic markup to describe the link. This highlights the desire for research organizations like BCO-DMO and R2R to ensure the complete accuracy of their exposed metadata, as it directly reflects on their reputations as successful and trustworthy source of research data. Therefore, data validation reaches beyond simple syntax of property values into contextual correctness. As a human process, this is a time-intensive task that does not scale well for finite human and funding resources. Therefore, to assess contextual correctness across datasets at different levels of granularity, BCO-DMO is developing a system that employs semantic technologies to aid the human process by organizing potential links and calculating a confidence coefficient as to the correctness of the potential pairing based on the distance between certain entity property values. The system allows humans to quickly scan potential links and their confidence coefficients for asserting persistence and correcting and investigating misaligned entity property values.

}, author = {Adam Shepherd and Cynthia Chandler and Robert Arko and Yanning Chen and Adila Krisnadhi and Pascal Hitzler and Thomas Narock and Robert Groman and Shannon Rauch} } @conference {319, title = {Using Linked Open Data and Semantic Integration to Search Across Geoscience Repositories.}, booktitle = {American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014}, year = {2014}, author = {Lisa Raymond and Adam Shepherd and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Douglas Fils and Pascal Hitzler and Krzysztof Janowicz and Matthew Jones and Adila Krisnadhi and Kerstin Lehnert and Audrey Mickle and Thomas Narock and Mark Schildhauer and Peter Wiebe} } @conference {289, title = {Leveraging Crowdsourcing and Linked Open Data for Geoscience Data Sharing and Discovery}, booktitle = {2013 American Geophysical Union Fall Meeting}, year = {2013}, address = {San Francisco, CA, USA}, author = {Thomas Narock and Eric A. Rozell and Pascal Hitzler and Robert Arko and Cynthia Chandler and Brian D. Wilson} }