@conference {789,
	title = {GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs},
	booktitle = {International conference on information and knowledge management},
	year = {2020},
	month = {10/2020},
	publisher = {ACM DL},
	organization = {ACM DL},
	author = {Reihaneh Amini and Lu Zhou and Pascal Hitzler}
}
@proceedings {854,
	title = {Results of theOntology Alignment Evaluation Initiative 2020},
	journal = {15th International Workshop on Ontology Matching},
	year = {2020},
	author = {Mina Abd Nikooie Pour and Alsayed Algergawy and Reihaneh Amini and Daniel Faria and Irini Fundulaki and Ian Harrow and Sven Hertling and Ernesto Jim{\'e}nez-Ruiz and Clement Jonquet and Naouel Karam and Abderrahmane Khiat and Amir Laadhar and Patrick Lambrix and Huanyu Li and Ying Li and Pascal Hitzler and Heiko Paulheim and Catia Pesquita and Tzanina Saveta and Pavel Shvaiko and Andrea Splendiani and Elodie Thieblin and Cassia Trojahn and Jana Vatascinova and Beyza Yaman and Ondrej Zamazal and Lu Zhou}
}
@article {691,
	title = {The GeoLink Knowledge Graph},
	journal = {Big Earth Data},
	year = {2018},
	author = {Michelle Cheatham and Adila Krisnadhi and Reihaneh Amini and Pascal Hitzler and Krzysztof Janowicz and Adam Shepherd and Tom Narock and Matt Jones and Peng Ji}
}
@article {715,
	title = {The GeoLink Knowledge Graph},
	journal = {Big Earth Data},
	year = {2018},
	author = {Michelle Cheatham and Adila Krisnadhi and Reihaneh Amini and Pascal Hitzler and Krzysztof Janowicz and Adam Shepherd and Tom Narock and Matt Jones and Peng Ji}
}
@conference {574,
	title = {Matching Instances in GeoLink},
	booktitle = {Ontology Matching Workshop -- ISWC},
	year = {2016},
	author = {Michelle Cheatham and Reihaneh Amini and Chandan Patel}
}
@inbook {578,
	title = {Ontology Design Patterns for Linked Data Publishing},
	booktitle = {Ontology Engineering with Ontology Design Patterns: Foundations and Applications},
	volume = {25},
	number = {Studies on the Semantic Web},
	year = {2016},
	pages = {201 - 232},
	chapter = {10},
	doi = {10.3233/978-1-61499-676-7-201},
	author = {Adila Krisnadhi and Nazifa Karima and Pascal Hitzler and Reihaneh Amini and V{\'\i}ctor Rodr{\'\i}guez-Doncel and Krzysztof Janowicz}
}
@conference {543,
	title = {Towards Best Practices for Crowdsourcing Ontology Alignment Benchmarks},
	booktitle = {15th International Semantic Web Conference (ISWC) 2016},
	year = {2016},
	address = {Kobe, Japan},
	abstract = {<p>Ontology alignment systems establish the links between ontologies that enable knowledge from various sources and domains to be used by applications in many different ways. Unfortunately, these systems are not perfect. Currently, the results of even the best-performing alignment systems need to be manually verified in order to be fully trusted. Ontology alignment researchers have turned to crowdsourcing platforms such as Amazon{\textquoteright}s Mechanical Turk to accomplish this. However, there has been little systematic analysis of the accuracy of crowdsourcing for alignment verification and the establishment of best practices. In this work, we analyze the impact of the presentation of the context of potential matches and the way in which the question is presented to workers on the accuracy of crowdsourcing for alignment verification.</p>
},
	author = {Reihaneh Amini and Michelle Cheatham and Pawel Grzebala and Helena B. McCurdy}
}
@article {472,
	title = {Data Perturbation via Randomized Normalization for Privacy Protection},
	year = {2015},
	author = {Reihaneh Amini and Michelle Cheatham and Nazifa Karima}
}
@conference {389,
	title = {An Ontology Design Pattern for Chess Games},
	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},
	volume = {1461},
	year = {2015},
	month = {10/2015},
	url = {http://ceur-ws.org/Vol-1461/WOP2015_pattern_abstract_2.pdf},
	author = {Adila Krisnadhi and V{\'\i}ctor Rodr{\'\i}guez-Doncel and Pascal Hitzler and Michelle Cheatham and Nazifa Karima and Reihaneh Amini and Ashley Coleman}
}
@conference {383,
	title = {Pattern-Based Linked Data Publication: The Linked Chess Dataset Case},
	booktitle = {Proceedings of the 6th International Workshop on Consuming Linked Data co-located with 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, US, October 12th, 2015},
	volume = {1426},
	year = {2015},
	month = {10/2015},
	publisher = {CEUR-WS.org},
	organization = {CEUR-WS.org},
	type = {Technical Report},
	abstract = {<p>This paper discusses the relationship between ontology design patterns (ODPs), data models and linked data, proposing a method that simplifies the task of publishing linked data while adhering to good modeling practices that reuse well-studied ODPs. The proposed process simplifies the tasks of the domain experts but preserves the integrity of the design patterns, favoring a well-designed and well documented data model which fosters data reuse. The work is illustrated with a linked dataset of two million chess games, with the key information mapped to other linked datasets and supported by formalized design patterns. This is the first time a chess dataset is presented as linked data, and an insight on its usefulness is given.</p>
},
	url = {http://dase.cs.wright.edu/publications/pattern-based-linked-data-publication-linked-chess-dataset-case},
	author = {V{\'\i}ctor Rodr{\'\i}guez-Doncel and Adila Krisnadhi and Pascal Hitzler and Michelle Cheatham and Nazifa Karima and Reihaneh Amini},
	editor = {Olaf Hartig and Juan Sequeda and Aidan Hogan}
}
