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Abstract One of the factors that limits scientists from fully adopting e-Science technologies and infrastructure to advance their work is the technical knowledge needed to specify and execute scientific workflows. In this paper we... more
Abstract One of the factors that limits scientists from fully adopting e-Science technologies and infrastructure to advance their work is the technical knowledge needed to specify and execute scientific workflows. In this paper we introduce WDO-It!, a scientist-centered tool that facilitates the scientist's task of encoding discipline knowledge in the form of workflow-driven ontologies (WDOs) and presenting process knowledge in the form of model-based workflows (MBWs). The goal of WDO-It!
Abstract This poster presents a meta-model to construct conceptual workflows from ontologies using the Workflow-Driven Ontologies (WDO) approach. The meta-model was designed based on experiences of using the proof-of-concept WDO-It! tool... more
Abstract This poster presents a meta-model to construct conceptual workflows from ontologies using the Workflow-Driven Ontologies (WDO) approach. The meta-model was designed based on experiences of using the proof-of-concept WDO-It! tool in different activities involving scientists from various domains.
Introduction Workflow-Driven Ontologies (WDOs) is an approach to ontology development that is based on scientist-level terminology such as" dataset" and" methods" that claims to facilitate the scientist process of encoding knowledge from... more
Introduction Workflow-Driven Ontologies (WDOs) is an approach to ontology development that is based on scientist-level terminology such as" dataset" and" methods" that claims to facilitate the scientist process of encoding knowledge from their domains (Salayandia, December 2006). In addition, resulting ontologies produced from using the WDO approach may include properties that enable the automatic generation of suggested workflow specifications.
Abstract Performance monitoring hardware is available on most modern microprocessors in the form of hardware counters and other registers that record data about processor events. This hardware may be used in counting mode, in which... more
Abstract Performance monitoring hardware is available on most modern microprocessors in the form of hardware counters and other registers that record data about processor events. This hardware may be used in counting mode, in which aggregate event counts are accumulated, and/or in sampling mode, in which time-based or event-based sampling is used to collect profiling data. This paper discusses uses of these two modes and considers the accuracy issues raised by each.
Abstract An approach that results in the development of Workflow-Driven Ontologies (WDO)(called the WDO approach) allows domain scientists to capture process knowledge in the form of concepts as well as relations between concepts.
The US Department of Energy (DOE) Atmospheric Radiation Measurement Program (ARM) is adopting the use of formalized provenance to support observational data products produced by ARM operations and relied upon by researchers. Because of... more
The US Department of Energy (DOE) Atmospheric Radiation Measurement Program (ARM) is adopting the use of formalized provenance to support observational data products produced by ARM operations and relied upon by researchers. Because of the diversity of needs in the climate community provenance will need to be conveyed in a domain-oriented context.
Two challenges related to capturing provenance about scientific data are: 1) determining an adequate level of granularity to encode provenance, and 2) encoding provenance in a way that facilitates end-user interpretation and analysis. A... more
Two challenges related to capturing provenance about scientific data are: 1) determining an adequate level of granularity to encode provenance, and 2) encoding provenance in a way that facilitates end-user interpretation and analysis. A solution to address these challenges consists in integrating two technologies: Semantic Abstract Workflows (SAWs), which are used to capture a domain expert's understanding of a scientific process, and PML, an extensible language used to encode provenance.
Initial cyberinfrastructure (CI) efforts have primarily focused on gathering and recording scientific information from distributed, cross-disciplinary domains and developing customized applications to access such information. CI-Miner is... more
Initial cyberinfrastructure (CI) efforts have primarily focused on gathering and recording scientific information from distributed, cross-disciplinary domains and developing customized applications to access such information. CI-Miner is a framework for enhancing an existing CI with knowledge that can be used to develop scientific applications that knows how to use the resources available over the CI.
Abstract���With the rapid development of e-Science and scientific workflow technologies, geosciences Web portals are becoming even more important to support geoscientists in their research and discovery. While existing portals provide... more
Abstract���With the rapid development of e-Science and scientific workflow technologies, geosciences Web portals are becoming even more important to support geoscientists in their research and discovery. While existing portals provide convenient means for humans to share and search for scientific data and services, they provide little support for automated agents like scientific workflow management systems.
Abstract The ability to identify seismic phases on a seismogram is a fundamental skill in Seismology. With the advent of technology and the increased accuracy of instrumentation, picking seismic phases with an adequate level of accuracy... more
Abstract The ability to identify seismic phases on a seismogram is a fundamental skill in Seismology. With the advent of technology and the increased accuracy of instrumentation, picking seismic phases with an adequate level of accuracy has become even more important in producing models with increased resolution levels. The Seismogram Picking Error from Analyst Review (SPEAR) project is an effort led by Dr.
Abstract Scientists often build and use highly customized systems to support observation and analysis efforts. Creating effective ontologies to manage and share data products created from those systems is a difficult task that requires... more
Abstract Scientists often build and use highly customized systems to support observation and analysis efforts. Creating effective ontologies to manage and share data products created from those systems is a difficult task that requires collaboration among domain experts, eg, scientists and knowledge representation experts. A framework is presented that scientists can use to create ontologies that describe how customized systems capture and transform data into products that support scientific findings.
The goal of cyberinfrastructure efforts such as Geosciences Network (GEON) is to allow earth scientists to discover, access, integrate and disseminate knowledge in distributed environments such as the Web, changing the way in which... more
The goal of cyberinfrastructure efforts such as Geosciences Network (GEON) is to allow earth scientists to discover, access, integrate and disseminate knowledge in distributed environments such as the Web, changing the way in which research is conducted. To support this effort, the earth sciences community has begun the complex task of capturing knowledge from specific disciplines through ontologies.
Abstract We propose a framework, which blends Web 2.0 and semantic Web technologies, to collect semantic descriptions of Web services and other software that enables their automatic discovery, invocation, composition, and interoperation.... more
Abstract We propose a framework, which blends Web 2.0 and semantic Web technologies, to collect semantic descriptions of Web services and other software that enables their automatic discovery, invocation, composition, and interoperation. The pilot project, called GEO-SEED, aims to support Web services annotation and discovery for the geosciences. GEO-SEED provides both human and machine friendly interfaces represented by a structured wikiand a knowledge management system, respectively.
Among the goals of cyberinfrastructure efforts is ready access to data and the software to process and model them. In the case of measurements of the Earth's gravity and magnetic fields, recent efforts have produced major new databases... more
Among the goals of cyberinfrastructure efforts is ready access to data and the software to process and model them. In the case of measurements of the Earth's gravity and magnetic fields, recent efforts have produced major new databases for North America. However, modern open-source modeling software is needed. In response to this need, we have developed the Talwani software tool, which is a profile forward modeling application based on the technique of Talwani and others (1959) and Cady (1980).
Maps are artifacts often derived from multiple sources of data, eg, sensors, and processed by multiple methods, eg, gridding and smoothing algorithms. As a result, complex metadata may be required to describe maps semantically. This paper... more
Maps are artifacts often derived from multiple sources of data, eg, sensors, and processed by multiple methods, eg, gridding and smoothing algorithms. As a result, complex metadata may be required to describe maps semantically. This paper presents an approach to describe maps by annotating associated provenance. Knowledge provenance can represent a semantic annotation mechanism that is more scalable than direct annotation of map.
Page 1. A STUDY OF THE VALIDITY AND UTILITY OF PAPI PERFORMANCE COUNTER DATA LEONARDO SALAYANDIA Computer Science Department APPROVED: Patricia J. Teller, Ph.D., Chair Steven M. Roach, Ph.D. David H. Williams, Ph.D. ...
Abstract PAPI is a cross-platform interface to the hardware performance counters available on most modern microprocessors. These counters exist as a small set of registers that count events, which are occurrences of specific signals... more
Abstract PAPI is a cross-platform interface to the hardware performance counters available on most modern microprocessors. These counters exist as a small set of registers that count events, which are occurrences of specific signals related to processor functions. Monitoring these events has a variety of uses in application development, including performance modeling and optimization, debugging, and benchmarking. In addition to routines for accessing the counters, PAPI specifies a common set of performance metrics considered ...