%0 Conference Paper %D Submitted %T Bridging RDF and Property Graphs: Linking KnowWhereGraph and SPOKE %A Shirly Stephen %A Cogan Shimizu %A Pascal Hitzler %A Karthik Soman %A Peter W Rose %A John H Morris %A Sergio E Baranzini %A Krzysztof Janowicz %A Antrea Christou %A Abhilekha Dalal %A Kitty Currier %A Mark Schildhauer %G eng %0 Conference Paper %D Submitted %T KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph %A Cogan Shimizu %A Shirly Stephen %A Antrea Christou %A Kitty Currier %A Mohammad Saeid Mahdavinejad %A Sanaz Saki Norouzi %A Abhilekha Dalal %A Adrita Barua %A Colby K. Fisher %A Anthony D’Onofrio %A Thomas Thelen %A Krzysztof Janowicz %A Dean Rehberger %A Mark Schildhauer %A Pascal Hitzler %G eng %0 Report %D 2023 %T The KnowWhereGraph Ontology %A Cogan Shimizu %A Shirly Stephen %A Kitty Currier %A Pascal Hitzler %A Rui Zhu %A Krzysztof Janowicz %A Mark Schildhauer %A Mohammad Saeid Mahdavinejad %A Abhilekha Dalal %A Adrita Barua %A Ling Cai %A Gengchen Mai %A Zhangyu Wang %A Yuanyuan Tian %A Sanaz Saki Norouzi %A Zilong Liu %A Meilin Shi %A Colby K. Fisher %G eng %0 Conference Paper %D 2023 %T The KnowWhereGraph Ontology: A Showcase %A Cogan Shimizu %A Shirly Stephen %A Rui Zhu %A Kitty Currier %A Mark Schildhauer %A Dean Rehberger %A Pascal Hitzler %A Krzysztof Janowicz %A Colby K. Fisher %A Mohammad Saeid Mahdavinejad %A Antrea Christou %A Adrita Barua %A Abhilekha Dalal %A Sanaz Saki Norouzi %A Zilong Liu %A Meilin Shi %A Ling Cai %A Gengchen Mai %A Zhangyu Wang %A Yuanyuan Tian %G eng %0 Journal Article %J Semantic Web %D 2022 %T Diverse data! Diverse schemata? %A Krzysztof Janowicz %A Cogan Shimizu %A Pascal Hitzler %A Gengchen Mai %A Shirly Stephen %A Rui Zhu %A Ling Cai %A Lu Zhou %A Mark Schildhauer %A Zilong Liu %A Zhangyu Wang %A Meilin Shi %B Semantic Web %V 13 %P 1–3 %G eng %U https://doi.org/10.3233/SW-210453 %R 10.3233/SW-210453 %0 Journal Article %J AI Magazine %D 2022 %T Know, Know Where, KnowWhereGraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence %A Krzysztof Janowicz %A Pascal Hitzler %A Wenwen Li %A Dean Rehberger %A Mark Schildhauer %A Rui Zhu %A Cogan Shimizu %A Colby K. Fisher %A Ling Cai %A Gengchen Mai %A Joseph Zalewski %A Lu Zhou %A Shirly Stephen %A Seila Gonzalez %A Bryce Mecum %A Anna Lopez Carr %A Andrew Schroeder %A Dave Smith %A Dawn Wright %A Sizhe Wang %A Yuanyuan Tian %A Zilong Liu %A Meilin Shi %A Anthony D’Onofrio %A Zhining Gu %B AI Magazine %G eng %0 Conference Paper %B DaMaLOS 2021 @ ISWC %D 2021 %T Environmental Observations in Knowledge Graphs %A Rui Zhu %A Shirly Stephen Ambrose %A Lu Zhou %A Cogan Shimizu %A Ling Cai %A Gengchen Mai %A Krzysztof Janowicz %A Pascal Hitzler %A Mark Schildhauer %X

The notion of Linked Open Science rests on the assumption that Linked Data principles contribute to science and scientific data management in several distinct ways (e.g., by adding rich semantics to improve retrieval and reuse of data). This begs the question of the right level of granularity for such semantic enrichment. On the one extreme of the spectrum, one may provide semantic annotations on the level of entire datasets to improve retrieval while leaving the actual data untouched. On the other end, one may semantically describe every single datum, such as a particular observation leading to data that supports reasoning, automated conflation, and so on, while, at the same time, dramatically increasing the size of data, including redundancy. This paper reports on our experience in modeling heterogeneous environmental data using a semantically-enabled observation framework, namely the SOSA ontology and its extensions to handle observation collections. We discuss different means of using these observation collections and compare their pros and cons in terms of data size and ease of querying. 

%B DaMaLOS 2021 @ ISWC %G eng %0 Conference Paper %B The 10th International Joint Conference on Knowledge Graphs, IJCKG 2021, December 6-8, 2021, Virtual Event, Thailand %D 2021 %T A Pattern for Features on a Hierarchical Spatial Grid %A Cogan Shimizu %A Rui Zhu %A Gengchen Mai %A Mark Schildhauer %A Krzysztof Janowicz %A Pascal Hitzler %B The 10th International Joint Conference on Knowledge Graphs, IJCKG 2021, December 6-8, 2021, Virtual Event, Thailand %I ACM %G eng %0 Conference Paper %B 13th Workshop on Ontology Design and Patterns %D 2021 %T A Pattern for Modeling Causal Relations Between Events %A Cogan Shimizu %A Rui Zhu %A Genchen Mai %A Mark Schildhauer %A Krzysztof Janowicz %A Pascal Hitzler %B 13th Workshop on Ontology Design and Patterns %G eng %0 Conference Paper %B The 10th International Joint Conference on Knowledge Graphs, IJCKG 2021, December 6-8, 2021, Virtual Event, Thailand %D 2021 %T SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology %A Rui Zhu %A Cogan Shimizu %A Shirly Stephen %A Lu Zhou %A Ling Cai %A Gengchen Mai %A Krzysztof Janowicz %A Mark Schildhauer %A Pascal Hitzler %B The 10th International Joint Conference on Knowledge Graphs, IJCKG 2021, December 6-8, 2021, Virtual Event, Thailand %I ACM %G eng %0 Conference Paper %B 2015 American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015 %D 2015 %T EarthCube GeoLink: Semantics and Linked Data for the Geosciences %A Robert A. Arko %A Suzanne Carbotte %A Cynthia Chandler %A Michelle Cheatham %A Douglas Fils %A Pascal Hitzler %A Krzysztof Janowicz %A Peng Ji %A Matthew Jones %A Adila Krisnadhi %A Kerstin Lehnert %A Audrey Mickle %A Tom Narock %A Margaret O'Brien %A Lisa Raymond %A Mark Schildhauer %A Adam Shepherd %A Peter Wiebe %B 2015 American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015 %G eng %0 Generic %D 2015 %T The GeoLink Framework for Pattern-based Linked Data Integration %A Adila Krisnadhi %A Yingjie Hu %A Krzsyztof Janowicz %A Pascal Hitzler %A Robert Arko %A Suzanne Carbotte %A Cynthia Chandler %A Michelle Cheatham %A Douglas Fils %A Timothy Finin %A Peng Ji %A Matthew Jones %A Nazifa Karima %A Kerstin Lehnert %A Audrey Mickle %A Thomas Narock %A Margaret O'Brien %A Lisa Raymond %A Adam Shepherd %A Mark Schildhauer %A Peter Wiebe %B Proceedings of the ISWC 2015 Posters & Demonstrations Track %8 10/2015 %0 Conference Paper %B The Semantic Web - ISWC 2015. 14th International Semantic Web Conference, Bethlehem, Pennsylvania, United States, October 11-15, 2015 %D 2015 %T The GeoLink Modular Oceanography Ontology %A Adila Krisnadhi %A Yingjie Hu %A Krzysztof Janowicz %A Pascal Hitzler %A Robert Arko %A Suzanne Carbotte %A Cynthia Chandler %A Michelle Cheatham %A Douglas Fils %A Timothy Finin %A Peng Ji %A Matthew Jones %A Nazifa Karima %A Kerstin Lehnert %A Audrey Mickle %A Thomas Narock %A Margaret O'Brien %A Lisa Raymond %A Adam Shepherd %A Mark Schildhauer %A Peter Wiebe %B The Semantic Web - ISWC 2015. 14th International Semantic Web Conference, Bethlehem, Pennsylvania, United States, October 11-15, 2015 %I Springer %8 10/2015 %G eng %0 Conference Paper %B 2015 American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015 %D 2015 %T Linked Data: Forming Partnerships at the Data Layer %A Adam Shepherd %A Cynthia Chandler %A Robert A. Arko %A Matthew Jones %A Pascal Hitzler %A Krzysztof Janowicz %A Adila Krisnadhi %A Mark Schildhauer %A Douglas Fils %A Tom Narock %A Robert Groman %A Margaret O'Brien %A Evan W. Patton %A Danie Kinkade %A Shannon Rauch %B 2015 American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015 %G eng %0 Conference Paper %B European Geosciences Union General Assembly 2015, Vienna, Austria, 12 - 17 April 2015 %D 2015 %T Ontology Design Patterns: Bridging the Gap Between Local Semantic Use Cases and Large-Scale, Long-Term Data Integration %A Adam Shepherd %A Robert Arko %A Adila Krisnadhi %A Pascal Hitzler %A Krzysztof Janowicz %A Cynthia Chandler %A Thomas Narock %A Michelle Cheatham %A Mark Schildhauer %A Matthew Jones %A Lisa Raymond %A Audrey Mickle %A Timothy Finin %A Douglas Fils %B European Geosciences Union General Assembly 2015, Vienna, Austria, 12 - 17 April 2015 %G eng %0 Conference Paper %B American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014. %D 2014 %T Provenance Usage in the OceanLink Project %A Thomas Narock %A Robert Arko %A Suzanne Carbotte %A Cynthia Chandler %A Michelle Cheatham %A Douglas Fils %A Timothy Finin %A Pascal Hitzler %A Krzysztof Janowicz %A Matthew Jones %A Adila Krisnadhi %A Kerstin Lehnert %A Audrey Mickle %A Lisa Raymond %A Mark Schildhauer %A Adam Shepherd %A Peter Wiebe %B American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014. %G eng %0 Conference Paper %B American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014 %D 2014 %T Using Linked Open Data and Semantic Integration to Search Across Geoscience Repositories. %A Lisa Raymond %A Adam Shepherd %A Robert Arko %A Suzanne Carbotte %A Cynthia Chandler %A Michelle Cheatham %A Douglas Fils %A Pascal Hitzler %A Krzysztof Janowicz %A Matthew Jones %A Adila Krisnadhi %A Kerstin Lehnert %A Audrey Mickle %A Thomas Narock %A Mark Schildhauer %A Peter Wiebe %B American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014 %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 %X

Semantic 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