@article {755, title = {GeoLink Dataset: A Complex Alignment Benchmark from Real-world Ontology}, journal = {Data Intelligence }, year = {2020}, author = {Lu Zhou and Michelle Cheatham and Adila Krisnadhi and Pascal Hitzler} } @article {768, title = {Towards Evaluating Complex Ontology Alignments}, journal = {Knowledge Engineering Review}, volume = {35}, year = {2020}, chapter = {e21}, author = {Lu Zhou and Elodie Thieblin and Michelle Cheatham and Daniel Faria and Catia Pesquita and Cassia Trojahn and Ondrej Zamazal} } @article {763, title = {Alignment of Surface Water Ontologies: A comparison of manual and automated approaches}, journal = {Journal of Geographical Systems}, year = {2019}, doi = {10.1007/s10109-019-00312-3}, author = {Michelle Cheatham and Dalia Varanka and Fatima Arauz and Lu Zhou} } @conference {769, title = {AROA Results of 2019 OAEI}, booktitle = {Ontology Matching}, year = {2019}, publisher = {CEUR}, organization = {CEUR}, address = {Auckland, New Zealand}, author = {Lu Zhou and Michelle Cheatham and Pascal Hitzler} } @conference {767, title = {Towards Association Rule-Based Complex Ontology Alignment}, booktitle = {Joint International Semantic Technology Conference}, year = {2019}, publisher = {Springer}, organization = {Springer}, address = {Hangzhou, China}, author = {Lu Zhou and Michelle Cheatham and Pascal Hitzler} } @conference {694, title = {A Complex Alignment Benchmark: Geolink dataset}, booktitle = {ISWC}, year = {2018}, publisher = {Springer}, organization = {Springer}, author = {Lu Zhou and Michelle Cheatham and Adila Krisnadhi and Pascal Hitzler} } @article {693, title = {The First Version of the OAEI Complex Alignment Benchmark}, journal = {ISWC Poster and Demo Session}, year = {2018}, author = {Elodie Thieblin and Michelle Cheatham and Cassia Trojahn 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} } @article {692, title = {Intelligent Systems for Geosciences - An Essential Research Agenda}, journal = {Communications of the ACM}, year = {2018}, author = {Yolanda Gil and Suzanne Pierce and Hassan Babaie and Arindam Banerjee and Kirk Borne and Gary Bust and Michelle Cheatham and Imme Ebert-Uphoff and Carla Gomes and Mary Hill and John Horel and Leslie Hsu and Jim Kinter and Craig Knoblock and David Krum and Vipin Kumar and Pierre Lermusiaux and Yan Liu and Chris North and Victor Pankratius and Shanan Peters and Beth Plale and Allen Pope and Sai Ravela and Juan Restrepo and Aaron Ridley and Hanan Samet and Shashi Shekhar and Katie Skinner and Padhraic Smyth and Basil Tikoff and Lynn Yarmey and Jia Zhang} } @article {714, title = {The Properties of Property Alignment on the Semantic Web}, journal = {International Journal of Metadata, Semantics and Ontologies}, volume = {13}, year = {2018}, chapter = {42}, author = {Michelle Cheatham}, editor = {Catia Pesquita and Daniela Oliveira and Helena B. McCurdy} } @conference {748, title = {Pseudo-Random ALC Syntax Generation}, booktitle = {The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers}, volume = {11155}, year = {2018}, pages = {19{\textendash}22}, publisher = {Springer}, organization = {Springer}, address = {Heraklion, Crete, Greece}, abstract = {We discuss a tool capable of rapidly generating pseudo-random syntactically valid ALC expression trees. The program is meant to allow a researcher to create large sets of independently valid expressions with a minimum of personal bias for experimentation.}, keywords = {ALC, Description Logic, DL, random generation, synthetic data}, isbn = {978-3-319-98191-8}, doi = {10.1007/978-3-319-98192-5\_4}, url = {https://doi.org/10.1007/978-3-319-98192-5\_4}, author = {Aaron Eberhart and Michelle Cheatham and Pascal Hitzler} } @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 {614, title = {An Ontology Design Pattern for Microblog Entries}, booktitle = {8th Workshop on Ontology Design and Patterns (WOP2017)}, year = {2017}, abstract = {

Due to the exponential growth of the Internet of Things and use of Social Media Platforms, observers have an unprecedented level of detailed information available on the behavior of communities. However, due to the highly heterogeneous nature and the immense volume of the data, a composite view is difficult to generate. Such a composite view would be exceptionally useful in the realms of insider threat detection, after-action forensics, and hazardous situation detection and avoidance. The Semantic Web, via ontology modeling, offers a powerful tool for fusing the disparate data sources and formats. To this end, we have created an ontology design pattern (ODP) for the modeling of a simple microblog entry. This ODP is intended to fit within an ecosystem for fusing social media, support advanced visualization, and provide a preliminary framework for trust assessment.

}, author = {Cogan Shimizu and Michelle Cheatham} } @article {609, title = {A Replication Study: Understanding What Drives the Performance in WikiMatch}, year = {2017}, abstract = {

We replicate and demonstrate that the performance of the WikiMatch automated ontology alignment system may be driven not by the particular information from Wikipedia directly used by the system, but rather by string similarity and Wikipedia{\textquoteright}s manually curated synonym sets, as encoded in the site{\textquoteright}s query resolution and page redirection system. In order to gain a detailed understanding of how Wikipedia contributes to WikiMatch, we replicate results reported for WikiMatch and analyze the results to evaluate our hypothesis.

}, url = {http://disi.unitn.it/~pavel/om2017/papers/om2017_poster5.pdf}, author = {Lu Zhou and Michelle Cheatham} } @inbook {612, title = {Linked Ocean Data 2.0}, booktitle = {Oceanographic and Marine Cross-Domain Data Management for Sustainable Development}, year = {2016}, pages = {69-99}, author = {Adam Leadbetter and Michelle Cheatham and Adam Shepherd and Rob Thomas} } @conference {574, title = {Matching Instances in GeoLink}, booktitle = {Ontology Matching Workshop -- ISWC}, year = {2016}, author = {Michelle Cheatham and Reihaneh Amini and Chandan Patel} } @conference {610, title = {A Modification to the Hazardous Situation ODP to Support Risk Assessment and Mitigation}, booktitle = {Workshop on Ontology Design Patterns (WOP)}, year = {2016}, month = {10/2016}, abstract = {

The Hazardous Situation ontology design pattern models the consequences of exposure of an object to a hazard. In its current form, the ODP is well suited for representing the consequences of exposure after the fact, which is very useful for applications such as damage assessment and recovery planning. In this work, we present a modification to this pattern that enables it to additionally support proactive questions central to risk assessment and mitigation planning.

}, keywords = {hazard, Ontology Design Pattern, risk assessment, risk mitigation}, author = {Michelle Cheatham and Ferguson, Holly and Charles, Vardeman and Cogan Shimizu} } @article {553, title = {Modified Hazardous Situation ODP}, year = {2016}, abstract = {

The Hazardous Situation ontology design pattern models the consequences of exposure of an object to a hazard. In its current form, the ODP is well suited for representing the consequences of exposure after the fact, which is very useful for applications such as damage assessment and recovery planning. In this work, we present a modification to this pattern that enables it to additionally support proactive questions central to risk assessment and mitigation planning.

}, author = {Michelle Cheatham and Ferguson, Holly and Vardeman, Charles and Cogan Shimizu} } @inbook {611, title = {Semantic Data Integration}, booktitle = {Springer Handbook on Big Data}, year = {2016}, author = {Michelle Cheatham and Pesquita, Catia} } @conference {575, title = {Semantic Web Enabled Record Linkage Attacks on Anonymized Data}, booktitle = {PrivOn Workshop at ISWC}, year = {2016}, author = {Jacob Miracle and Michelle Cheatham} } @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 = {

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.

}, author = {Reihaneh Amini and Michelle Cheatham and Pawel Grzebala and Helena B. McCurdy} } @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} } @article {472, title = {Data Perturbation via Randomized Normalization for Privacy Protection}, year = {2015}, author = {Reihaneh Amini and Michelle Cheatham and Nazifa Karima} } @conference {481, title = {EarthCube GeoLink: Semantics and Linked Data for the Geosciences}, booktitle = {2015 American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015}, year = {2015}, author = {Robert A. Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Douglas Fils and Pascal Hitzler and Krzysztof Janowicz and Peng Ji and Matthew Jones and Adila Krisnadhi and Kerstin Lehnert and Audrey Mickle and Tom Narock and Margaret O{\textquoteright}Brien and Lisa Raymond and Mark Schildhauer and Adam Shepherd and Peter Wiebe} } @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 {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 {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} } @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 {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 = {

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.

}, 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} } @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 {8, title = {Conference v2.0: An uncertain version of the OAEI Conference benchmark}, booktitle = {13th International Semantic Web Conference (ISWC 2014)}, volume = {8797}, year = {2014}, month = {10/2014}, pages = {148-163}, publisher = {Lecture Notes in Computer Science, Springer}, organization = {Lecture Notes in Computer Science, Springer}, address = {Riva del Garda, Italy}, abstract = {The Ontology Alignment Evaluation Initiative is a set of benchmarks for evaluating the performance of ontology alignment systems. In this paper we re-examine the Conference track of the OAEI, with a focus on the degree of agreement between the reference alignments within this track and the opinion of experts. We propose a new version of this benchmark that more closely corresponds to expert opinion and confidence on the matches. The performance of top alignment systems is compared on both versions of the benchmark. Additionally, a general method for crowdsourcing the development of more benchmarks of this type using Amazon{\textquoteright}s Mechanical Turk is introduced and shown to be scalable, cost-effective and to agree well with expert opinion.}, keywords = {benchmark, OAEI, Ontology Alignment}, author = {Michelle Cheatham and Pascal Hitzler}, editor = {Peter Mika and Tania Tudorache and Abraham Bernstein and Chris Welty and Craig A. Knoblock and Denny Vrandecic and Paul T. Groth and Natasha F. Noy and Krzysztof Janowicz and Carole A. Goble} } @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 {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 {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 {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 {102, title = {The Properties of Property Alignment}, booktitle = {Ninth International Workshop on Ontology Matching}, year = {2014}, address = {Riva del Garda, Italy}, author = {Michelle Cheatham and Pascal Hitzler} } @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 {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 {101, title = {String Similarity Metrics for Ontology Alignment}, booktitle = {International Semantic Web Conference}, year = {2013}, publisher = {Springer}, organization = {Springer}, address = {Sydney, Australia}, abstract = {

}, author = {Michelle Cheatham and Pascal Hitzler} } @conference {103, title = {StringsAuto and MapSSS Results for OAEI 2013}, booktitle = {8th International Workshop on Ontology Matching}, year = {2013}, address = {Sydney, Australia}, author = {Michelle Cheatham and Pascal Hitzler} } @conference {104, title = {MapSSS Results for OAEI 2011}, booktitle = {6th International Workshop on Ontology Matching}, year = {2011}, address = {Bonn, Germany}, author = {Michelle Cheatham} } @conference {105, title = {Targeted Ontology Matching}, booktitle = {International Symposium on Collaborative Technologies and Systems}, year = {2010}, address = {Chicago, IL}, author = {Michelle Cheatham} } @conference {106, title = {Feature Selection for Collaborative Team Formation via Social Network Analysis}, booktitle = {International Conference on Data Mining}, year = {2007}, address = {Las Vegas, NV}, author = {Michelle Cheatham and Felicia Harlow and Kevin Cleereman} } @conference {107, title = {Application of Social Network Analysis to Collaborative Team Formation}, booktitle = {International Symposium on Collaborative Technologies and Systems}, year = {2006}, address = {Las Vegas, NV}, author = {Michelle Cheatham and Kevin Cleereman} } @conference {108, title = {Feature and Prototype Evolution for Nearest Neighbor Classification of Web Documents}, booktitle = {International Conference on Information Technology - New Generations}, year = {2006}, address = {Las Vegas, NV}, author = {Michelle Cheatham and Mateen Rizki} } @conference {110, title = {AI Planning in Portal-based Workflow Management Systems}, booktitle = {International Conference on Integration of Knowledge Intensive Multi-Agent Systems}, year = {2005}, address = {Waltham, MA}, author = {Michelle Cheatham and Michael Cox} } @conference {109, title = {AI Workflow Management in a Collaborative Environment}, booktitle = {International Symposium on Collaborative Technologies and Systems}, year = {2005}, address = {St. Louis, MO}, author = {Michelle Cheatham and Michael Cox} }