00550nas a2200169 4500008004100000245005400041210005400095300000800149490000600157100001900163700002000182700002400202700002100226700001900247700002000266856009400286 2016 eng d00aConsiderations regarding Ontology Design Patterns0 aConsiderations regarding Ontology Design Patterns a1-70 v71 aBlomqvist, Eva1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aKrisnadhi, Adila1 aNarock, Thomas1 aSolanki, Monika uhttps://daselab.cs.ksu.edu/publications/considerations-regarding-ontology-design-patterns01032nas a2200337 4500008003900000245007000039210006300109260001200172100002100184700001600205700002400221700002000245700001700265700002200282700002200304700002300326700001800349700001900367700001300386700001900399700001900418700002100437700001900458700001900477700002200496700001800518700001900536700002200555700001700577856010000594 2015 d00aThe {GeoLink} Framework for Pattern-based Linked Data Integration0 aGeoLink Framework for Patternbased Linked Data Integration c10/20151 aKrisnadhi, Adila1 aHu, Yingjie1 aJanowicz, Krzsyztof1 aHitzler, Pascal1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFils, Douglas1 aFinin, Timothy1 aJi, Peng1 aJones, Matthew1 aKarima, Nazifa1 aLehnert, Kerstin1 aMickle, Audrey1 aNarock, Thomas1 aO'Brien, Margaret1 aRaymond, Lisa1 aShepherd, Adam1 aSchildhauer, Mark1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/geolink-framework-pattern-based-linked-data-integration00983nas a2200337 4500008004100000245004800041210004200089260002200131100002100153700001600174700002400190700002000214700001700234700002200251700002200273700002300295700001800318700001900336700001300355700001900368700001900387700002100406700001900427700001900446700002200465700001800487700001900505700002200524700001700546856008200563 2015 eng d00aThe {GeoLink} Modular Oceanography Ontology0 aGeoLink Modular Oceanography Ontology bSpringerc10/20151 aKrisnadhi, Adila1 aHu, Yingjie1 aJanowicz, Krzysztof1 aHitzler, Pascal1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFils, Douglas1 aFinin, Timothy1 aJi, Peng1 aJones, Matthew1 aKarima, Nazifa1 aLehnert, Kerstin1 aMickle, Audrey1 aNarock, Thomas1 aO'Brien, Margaret1 aRaymond, Lisa1 aShepherd, Adam1 aSchildhauer, Mark1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/geolink-modular-oceanography-ontology00612nas a2200193 4500008004100000245006600041210006300107260002500170490000900195100002000204700002100224700002200245700001900267700002000286700002100306700001900327700002000346856005200366 2015 eng d00aAn Ontology Design Pattern for Dynamic Relative Relationships0 aOntology Design Pattern for Dynamic Relative Relationships bCEUR-WS.orgc10/20150 v14611 aFerguson, Holly1 aKrisnadhi, Adila1 aVardeman, Charles1 aBlomqvist, Eva1 aHitzler, Pascal1 aKrisnadhi, Adila1 aNarock, Thomas1 aSolanki, Monika uhttp://ceur-ws.org/Vol-1461/WOP2015_paper_3.pdf01469nas a2200301 4500008004100000245006100041210005800102260002500160490000900185520055600194100001800750700002300768700002800791700002400819700002600843700002000869700002100889700002500910700003000935700002200965700001800987700001901005700002001024700002101044700001901065700002001084856006301104 2015 eng d00aAn Ontology Design Pattern for Particle Physics Analysis0 aOntology Design Pattern for Particle Physics Analysis bCEUR-WS.orgc10/20150 v14613 a
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.
1 aCarral, David1 aCheatham, Michelle1 aDallmeir-Tiessen, Sunje1 aHerterich, Patricia1 aHildreth, Michael, D.1 aHitzler, Pascal1 aKrisnadhi, Adila1 aLassila-Perini, Kati1 aSexton-Kennedy, Elizabeth1 aVardeman, Charles1 aWatts, Gordon1 aBlomqvist, Eva1 aHitzler, Pascal1 aKrisnadhi, Adila1 aNarock, Thomas1 aSolanki, Monika uhttp://ceur-ws.org/Vol-1461/WOP2015_pattern_abstract_5.pdf00887nas a2200241 4500008004100000245012400041210006900165100001900234700001700253700002100270700002000291700002400311700002200335700001900357700002300376700002200399700001900421700001800440700001900458700001900477700001800496856013100514 2015 eng d00aOntology Design Patterns: Bridging the Gap Between Local Semantic Use Cases and Large-Scale, Long-Term Data Integration0 aOntology Design Patterns Bridging the Gap Between Local Semantic1 aShepherd, Adam1 aArko, Robert1 aKrisnadhi, Adila1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aChandler, Cynthia1 aNarock, Thomas1 aCheatham, Michelle1 aSchildhauer, Mark1 aJones, Matthew1 aRaymond, Lisa1 aMickle, Audrey1 aFinin, Timothy1 aFils, Douglas uhttps://daselab.cs.ksu.edu/publications/ontology-design-patterns-bridging-gap-between-local-semantic-use-cases-and-large-scale00846nas a2200277 4500008004100000245007800041210006900119260002500188300001000213490000900223100001200232700001600244700002300260700002400283700002200307700002100329700002000350700001700370700002200387700002100409700002000430700002300450700001900473700001800492856005800510 2015 eng d00aAn Ontology For Specifying Spatiotemporal Scopes in Life Cycle Assessment0 aOntology For Specifying Spatiotemporal Scopes in Life Cycle Asse bCEUR-WS.orgc10/2015 a25-300 v15011 aYan, Bo1 aHu, Yingjie1 aKuczenski, Brandon1 aJanowicz, Krzsyztof1 aBallatore, Andrea1 aKrisnadhi, Adila1 aHitzler, Pascal1 aSuh, Sangwon1 aIngwersen, Wesley1 ad'Amato, Claudia1 aLécué, Freddy1 aMutharaju, Raghava1 aNarock, Thomas1 aWirth, Fabian uhttp://ceur-ws.org/Vol-1501/Diversity2015-paper_4.pdf01948nas a2200253 4500008004100000245012400041210006900165260001400234300001200248520107400260100002101334700001701355700002201372700002201394700002301416700001901439700002001458700002401478700001901502700001801521700001901539700001701558856011901575 2015 eng d00aOntology Pattern Modeling for Cross-Repository Data Integration in the Ocean Sciences: The Oceanographic Cruise Example0 aOntology Pattern Modeling for CrossRepository Data Integration i bIOS Press a256-2843 aEarthCube 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.1 aKrisnadhi, Adila1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFinin, Timothy1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aNarock, Thomas1 aRaymond, Lisa1 aShepherd, Adam1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/ontology-pattern-modeling-cross-repository-data-integration-ocean-sciences01985nas a2200325 4500008004100000245005200041210004400093260002500137300001000162490000900172520104900181100002101230700001701251700002201268700002201290700002301312700002001335700001601355700002401371700001301395700001901408700001901427700001701446700002101463700002001484700002301504700001901527700001801546856009501564 2015 eng d00a{R2R+BCO-DMO} – Linked Oceanographic Datasets0 aR2RBCODMO Linked Oceanographic Datasets bCEUR-WS.orgc10/2015 a15-240 v15013 aThe 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’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.1 aKrisnadhi, Adila1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aHitzler, Pascal1 aHu, Yingjie1 aJanowicz, Krzysztof1 aJi, Peng1 aKarima, Nazifa1 aShepherd, Adam1 aWiebe, Peter1 ad'Amato, Claudia1 aLécué, Freddy1 aMutharaju, Raghava1 aNarock, Thomas1 aWirth, Fabian uhttps://daselab.cs.ksu.edu/publications/r2rbco-dmo-%E2%80%93-linked-oceanographic-datasets00703nas a2200241 4500008004100000245004100041210004100082260002000123100002200143700001900165700001900184700001900203700001700222700001300239700001500252700001800267700002000285700002100305700001900326700001800345700001700363856008100380 2014 eng d00aEnhancing Ocean Research Data Access0 aEnhancing Ocean Research Data Access aVienna, Austria1 aChandler, Cynthia1 aGroman, Robert1 aShepherd, Adam1 aAllison, Molly1 aArko, Robert1 aChen, Yu1 aFox, Peter1 aGlover, David1 aHitzler, Pascal1 aLeadbetter, Adam1 aNarock, Thomas1 aWest, Patrick1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/enhancing-ocean-research-data-access00576nas a2200205 4500008004100000245002600041210002200067100001900089700001700108700002200125700002200147700002300169700001900192700002000211700002100231700001800252700001900270700001700289856006400306 2014 eng d00aThe OceanLink Project0 aOceanLink Project1 aNarock, Thomas1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFinin, Timothy1 aHitzler, Pascal1 aKrisnadhi, Adila1 aRaymond, Lisa1 aShepherd, Adam1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/oceanlink-project-001693nas a2200385 4500008004100000020002200041245002800063210002200091260002000113300001000133520067700143100001900820700001700839700002200856700002100878700002000899700002300919700001900942700002200961700001800983700001701001700001901018700001501037700001401052700001601066700001401082700002301096700002001119700001801139700002001157700001401177700002201191700002201213856007201235 2014 eng d a978-1-4799-5665-400aThe {OceanLink} project0 aOceanLink project b{IEEE}c10/2014 a14-213 aToday'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.1 aNarock, Thomas1 aArko, Robert1 aCarbotte, Suzanne1 aKrisnadhi, Adila1 aHitzler, Pascal1 aCheatham, Michelle1 aShepherd, Adam1 aChandler, Cynthia1 aRaymond, Lisa1 aWiebe, Peter1 aFinin, Timothy1 aLin, Jimmy1 aPei, Jian1 aHu, Xiaohua1 aChang, Wo1 aNambiar, Raghunath1 aAggarwal, Charu1 aCercone, Nick1 aHonavar, Vasant1 aHuan, Jun1 aMobasher, Bamshad1 aPyne, Saumyadipta uhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=697386100894nas a2200289 4500008004100000245006200041210006200103490000600165100002000171700002100191700001700212700002200229700002200251700002300273700001900296700002400315700001900339700001800358700001900376700001700395700001800412700002300430700001700453700002000470700001600490856009800506 2014 eng d00aOntology Design Patterns for Ocean Science Data Discovery0 aOntology Design Patterns for Ocean Science Data Discovery0 v31 aHitzler, Pascal1 aKrisnadhi, Adila1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFinin, Timothy1 aJanowicz, Krzysztof1 aNarock, Thomas1 aRaymond, Lisa1 aShepherd, Adam1 aWiebe, Peter1 aGangemi, Aldo1 aHafner, Verena, V.1 aKuhn, Werner1 aScheider, Simon1 aSteels, Luc uhttps://daselab.cs.ksu.edu/publications/ontology-design-patterns-ocean-science-data-discovery02084nas a2200229 4500008004100000245011700041210006900158520125400227100002101481700001701502700002201519700002201541700002301563700001901586700002001605700002401625700001901649700001801668700001901686700001701705856013201722 2014 eng d00aAn Ontology Pattern for Oceanograhic Cruises: Towards an Oceanographer's Dream of Integrated Knowledge Discovery0 aOntology Pattern for Oceanograhic Cruises Towards an Oceanograph3 aEarthCube 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.
1 aKrisnadhi, Adila1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFinin, Timothy1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aNarock, Thomas1 aRaymond, Lisa1 aShepherd, Adam1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/ontology-pattern-oceanograhic-cruises-towards-oceanographers-dream-integrated-knowledge00830nas a2200277 4500008004100000245004600041210004600087100001900133700001700152700002200169700002200191700002300213700001800236700001900254700002000273700002400293700001900317700002100336700002100357700001900378700001800397700002200415700001900437700001700456856007900473 2014 eng d00aProvenance Usage in the OceanLink Project0 aProvenance Usage in the OceanLink Project1 aNarock, Thomas1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFils, Douglas1 aFinin, Timothy1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aJones, Matthew1 aKrisnadhi, Adila1 aLehnert, Kerstin1 aMickle, Audrey1 aRaymond, Lisa1 aSchildhauer, Mark1 aShepherd, Adam1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/provenance-usage-oceanlink-project03809nas a2200229 4500008004100000245007100041210006900112260001200181300000900193490000700202520308900209100001903298700002203317700001703339700001803356700002103374700002003395700001903415700001903434700001903453856010703472 2014 eng d00aSemantic Entity Pairing for Improved Data Validation and Discovery0 aSemantic Entity Pairing for Improved Data Validation and Discove c05/2014 a24760 v163 aOne 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'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's and R2R'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.
1 aShepherd, Adam1 aChandler, Cynthia1 aArko, Robert1 aChen, Yanning1 aKrisnadhi, Adila1 aHitzler, Pascal1 aNarock, Thomas1 aGroman, Robert1 aRauch, Shannon uhttps://daselab.cs.ksu.edu/publications/semantic-entity-pairing-improved-data-validation-and-discovery00921nas a2200265 4500008004100000245009400041210006900135100001800204700001900222700001700241700002200258700002200280700002300302700001800325700002000343700002400363700001900387700002100406700002100427700001900448700001900467700002200486700001700508856013000525 2014 eng d00aUsing Linked Open Data and Semantic Integration to Search Across Geoscience Repositories.0 aUsing Linked Open Data and Semantic Integration to Search Across1 aRaymond, Lisa1 aShepherd, Adam1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFils, Douglas1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aJones, Matthew1 aKrisnadhi, Adila1 aLehnert, Kerstin1 aMickle, Audrey1 aNarock, Thomas1 aSchildhauer, Mark1 aWiebe, Peter uhttps://daselab.cs.ksu.edu/publications/using-linked-open-data-and-semantic-integration-search-across-geoscience-repositories00636nas a2200157 4500008004100000245009200041210006900133260002700202100001900229700002100248700002000269700001700289700002200306700002200328856012800350 2013 eng d00aLeveraging Crowdsourcing and Linked Open Data for Geoscience Data Sharing and Discovery0 aLeveraging Crowdsourcing and Linked Open Data for Geoscience Dat aSan Francisco, CA, USA1 aNarock, Thomas1 aRozell, Eric, A.1 aHitzler, Pascal1 aArko, Robert1 aChandler, Cynthia1 aWilson, Brian, D. uhttps://daselab.cs.ksu.edu/publications/leveraging-crowdsourcing-and-linked-open-data-geoscience-data-sharing-and-discovery