2012 IEEE 8th International Conference on E-Science最新文献_第2页

Towards semantically-enabled exploration and analysis of environmental ecosystems 对环境生态系统进行语义探索和分析

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404436

Ping Wang, L. Fu, E. Patton, D. McGuinness, F. J. Dein, R. S. Bristol

{"title":"Towards semantically-enabled exploration and analysis of environmental ecosystems","authors":"Ping Wang, L. Fu, E. Patton, D. McGuinness, F. J. Dein, R. S. Bristol","doi":"10.1109/eScience.2012.6404436","DOIUrl":"https://doi.org/10.1109/eScience.2012.6404436","url":null,"abstract":"We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of open linked data. In previous work, we designed and implemented a semantically-enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. In this work, we significantly extend SemantEco to include knowledge required to support resource decisions concerning fish and wildlife species and their habitats. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. Our results include a refactored and expanded version of the SemantEco portal. Additionally the updated system is now compatible with the emerging best in class Extensible Observation Ontology (OBOE). A wider range of relevant data has been integrated, focusing on additions concerning wildlife health related to exposure to contaminants. The resulting system stores and exposes provenance concerning the source of the data, how it was used, and also the rationale for choosing the data. In this paper, we describe the system, highlight its research contributions, and describe current and envisioned usage.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"65 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91032126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A simulator for social exchanges and collaborations — Architecture and case study 社会交流和合作的模拟器-架构和案例研究

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404414

Christian Haas, Simon Caton, Daniel Trumpp, Christof Weinhardt

引用次数: 5

Velo and REXAN — Integrated data management and high speed analysis for experimental facilities Velo和REXAN -实验设施的集成数据管理和高速分析

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/ESCIENCE.2012.6404463

K. K. Dam, J. Carson, A. Corrigan, D. Einstein, Zoe Guillen, Brandi S. Heath, A. Kuprat, Ingela Lanekoff, C. Lansing, J. Laskin, Dongsheng Li, Y. Liu, M. Marshall, E. Miller, G. Orr, Paulo Pinheiro da Silva, Seun Ryu, C. Szymanski, Mathew Thomas

{"title":"Velo and REXAN — Integrated data management and high speed analysis for experimental facilities","authors":"K. K. Dam, J. Carson, A. Corrigan, D. Einstein, Zoe Guillen, Brandi S. Heath, A. Kuprat, Ingela Lanekoff, C. Lansing, J. Laskin, Dongsheng Li, Y. Liu, M. Marshall, E. Miller, G. Orr, Paulo Pinheiro da Silva, Seun Ryu, C. Szymanski, Mathew Thomas","doi":"10.1109/ESCIENCE.2012.6404463","DOIUrl":"https://doi.org/10.1109/ESCIENCE.2012.6404463","url":null,"abstract":"The Chemical Imaging Initiative at the Pacific Northwest National Laboratory (PNNL) is creating a `Rapid Experimental Analysis' (REXAN) Framework, based on the concept of reusable component libraries. REXAN allows developers to quickly compose and customize high throughput analysis pipelines for a range of experiments, as well as supporting the creation of multi-modal analysis pipelines. In addition, PNNL has coupled REXAN with its collaborative data management and analysis environment Velo to create an easy to use data management and analysis environments for experimental facilities. This paper will discuss the benefits of Velo and REXAN in the context of three examples: PNNL High Resolution Mass Spectrometry - reducing analysis times from hours to seconds, and enabling the analysis of much larger data samples (100KB to 40GB) at the same time. · ALS X-Ray Tomography - reducing analysis times of combined STXM and EM data collected at the ALS from weeks to minutes, decreasing manual work and increasing data volumes that can be analysed in a single step. · Multi-modal nano-scale analysis of STXM and TEM data - providing a semi automated process for particle detection. The creation of REXAN has significantly shortened the development time for these analysis pipelines. The integration of Velo and REXAN has significantly increased the scientific productivity of the instruments and their users by creating easy to use data management and analysis environments with greatly reduced analysis times and improved analysis capabilities.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"26 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74224141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Incorporating circulation data in relevancy rankings for search algorithms in library collections 将流通数据纳入图书馆馆藏搜索算法的相关性排名中

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404447

H. Green, Kirk Hess, Richard Hislop

引用次数: 3

Data intensive science at synchrotron based 3D x-ray imaging facilities 基于同步加速器的三维x射线成像设备的数据密集型科学

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/ESCIENCE.2012.6404468

F. Carlo, Xianghui Xiao, K. Fezzaa, Steve Wang, N. Schwarz, C. Jacobsen, N. Chawla, F. Fusseis

引用次数: 4

Web applications for experimental control at CLS 用于CLS实验控制的Web应用程序

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404470

Dong Liu, D. Maxwell, Elder Mathias

引用次数: 0

Image retrieval in the unstructured data management system AUDR 非结构化数据管理系统AUDR中的图像检索

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404474

Junwu Luo, B. Lang, Chao Tian, Danchen Zhang

引用次数: 6

A framework to access handwritten information within large digitized paper collections 一个访问大型数字化纸质馆藏中手写信息的框架

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404434

Liana Diesendruck, Luigi Marini, R. Kooper, M. Kejriwal, Kenton McHenry

{"title":"A framework to access handwritten information within large digitized paper collections","authors":"Liana Diesendruck, Luigi Marini, R. Kooper, M. Kejriwal, Kenton McHenry","doi":"10.1109/eScience.2012.6404434","DOIUrl":"https://doi.org/10.1109/eScience.2012.6404434","url":null,"abstract":"We describe our efforts with the National Archives and Records Administration (NARA) to provide a form of automated search of handwritten content within large digitized document archives. With a growing push towards the digitization of paper archives there is an imminent need to develop tools capable of searching the resulting unstructured image data as data from such collections offer valuable historical records that can be mined for information pertinent to a number of fields from the geosciences to the humanities. To carry out the search, we use a Computer Vision technique called Word Spotting. A form of content based image retrieval, it avoids the still difficult task of directly recognizing the text by allowing a user to search using a query image containing handwritten text and ranking a database of images in terms of those that contain more similar looking content. In order to make this search capability available on an archive, three computationally expensive pre-processing steps are required. We describe these steps, the open source framework we have developed, and how it can be used not only on the recently released 1940 Census data containing nearly 4 million high resolution scanned forms, but also on other collections of forms. With a growing demand to digitize our wealth of paper archives we see this type of automated search as a low cost scalable alternative to the costly manual transcription that would otherwise be required.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"20 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89543468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health ExSciTecH:扩大志愿者计算探索科学、技术和健康

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/eScience.2012.6404451

Michael Matheny, S. Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, R. Armen, G. Zoppetti, M. Taufer

{"title":"ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health","authors":"Michael Matheny, S. Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, R. Armen, G. Zoppetti, M. Taufer","doi":"10.1109/eScience.2012.6404451","DOIUrl":"https://doi.org/10.1109/eScience.2012.6404451","url":null,"abstract":"This paper presents ExSciTecH, an NSF-funded project deploying volunteer computing (VC) systems to Explore Science, Tecenology, and Health. ExSciTecH aims at radically transforming VC systems and the volunteer's experience. To pursue this goal, ExSciTecH integrates and uses gameplay environments into BOINC, a well-known VC middleware, to involve the volunteers not only for simply donating idle cycles but also for actively participating in scientific discovery, i.e., generating new simulations side by side with the scientists. More specifically, ExSciTecH plugs into the BOINC framework extending it with two main gaming components, i.e., a learning component that includes a suite of games for training users on relevant biochemical concepts, and an engaging component that includes a suite of games to engage volunteers in drug design and scientific discovery. We assessed the impact of a first implementation of the learning game on a group of students at the University of Delaware. Our tests clearly show how ExSciTecH can generate higher levels of enthusiasm than more traditional learning tools in our students.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"8 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84163478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quality of data driven simulation workflows 数据驱动的仿真工作流的质量

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI: 10.1109/ESCIENCE.2012.6404417

M. Reiter, Uwe Breitenbücher, Oliver Kopp, D. Karastoyanova

引用次数: 15