James Myers

Statistics and machine learning are data-oriented tasks in which domain models are induced from data. The bulk of research in these fields concentrates on inducing models from data archived in computer databases; however, for many problem domains, human expertise forms an essential part of the corpus of knowledge needed to construct models of the domain. The discipline of knowledge engineering has focused on encoding the knowledge of experts in a form that can be encoded into computational models of a ...

The Semantic Document Library (SDL) was driven by use cases from the environmental observatory communities and is designed to provide conventional document repository features of uploading, downloading, editing and versioning of documents as well as value adding features of tagging, querying, sharing, annotating, ranking, provenance, social networking and geo-spatial mapping services. It allows users to organize a catalogue of watershed observation data, model output, workflows, as well publications and documents related to the same watershed study through the tagging capability. Users can tag all relevant materials using the same watershed name and find all of them easily later using this tag. The underpinning semantic content repository can store materials from other cyberenvironments such as workflow or simulation tools and SDL provides an effective interface to query and organize materials from various sources. Advanced features of the SDL allow users to visualize the provenance of the materials such as the source and how the output data is derived. Other novel features include visualizing all geo-referenced materials on a geospatial map. SDL as a component of a cyberenvironment portal (the NCSA Cybercollaboratory) has goal of efficient management of information and relationships between published artifacts (Validated models, vetted data, workflows, annotations, best practices, reviews and papers) produced from raw research artifacts (data, notes, plans etc.) through agents (people, sensors etc.). Tremendous scientific potential of artifacts is achieved through mechanisms of sharing, reuse and collaboration - empowering scientists to spread their knowledge and protocols and to benefit from the knowledge of others. SDL successfully implements web 2.0 technologies and design patterns along with semantic content management approach that enables use of multiple ontologies and dynamic evolution (e.g. folksonomies) of terminology. Scientific documents involved with many interconnected entities (artifacts or agents) are represented as RDF triples using semantic content repository middleware Tupelo in one or many data/metadata RDF stores. Queries to the RDF enables discovery of relations among data, process and people, digging out valuable aspects, making recommendations to users, such as what tools are typically used to answer certain kinds of questions or with certain types of dataset. This innovative concept brings out coherent information about entities from four different perspectives of the social context (Who-human relations and interactions), the casual context (Why - provenance and history), the geo-spatial context (Where - location or spatially referenced information) and the conceptual context (What - domain specific relations, ontologies etc.).

... 1 Towards A Spatiotemporal Event-Oriented Ontology Yong Liu, Robert E. McGrath, Shaowen Wang, Mary Pietrowicz, Joe Futrelle, James D. Myers ... [19] Smith, B. and Garnett, G. (2007) "MusiVerse." Copenhagen: International Computer Music Conference [20] Visser, U. (2004). ...

Cyberinfrastructure (CI) is a broad term for the combination of high-performance computers, large-scale data storage, high speed networks, high-throughput instruments and sensor networks, and associated software that, as a ubiquitous, persistent infrastructure, is having, and will continue to have, a direct impact on scientific and engineering productivity. The potential for CI to allow individuals to perform more detailed analyses and/or study more complex systems is becoming well understood. Less well understood is the potential of CI to enable dynamic group and community-scale coordination of resources to more effectively address multidisciplinary scientific questions and to strengthen the connections between basic research and applications. We have coined the term "Cyberenvironments" to represent the software infrastructure and interfaces needed to realize this vision of CI as a systemic catalyst for transformative change in research practice and end-to-end productivit...

Collaboration tools and problem solving environments (PSEs) have historically evolved independently, despite the fact that most of their developers would agree that transitions between team and individual work are facile and frequent in the real world. The explanation of this paradox has roots in both technology limitations and our lack of understanding of the details of how team and individual work are related and how to encode those relations in software. Progress is being made in both of these areas, and, as a result, there is growing interest in discussion between the collaborative systems and PSE communities, and a growing number of systems that provide collaboration and PSE functionality. We envision this Collaborative Problem-Solving Environments (CPSEs) minitrack as a forum for bringing these communities together and hope that the selected papers will provide the basis for a lively discussion of the issues involved in designing, developing, and deploying CPSEs in science and...

This document specifies how to use standard Web protocols, including HTTP, to obtain information about the provenance of Web resources. We describe both simple access mechanisms for locating provenance information associated with web pages or resources, and provenance query services for more complex deployments. This is part of the larger W3C Prov provenance framework.

ABSTRACT Managing multiscale and multi-witness provenance is often assumed to involve relatively straight-forward matters of matching identifiers and recognizing composite processes and aggregate artifacts. However, the issue is much more complex and related to millennia of debate over the nature of objects and processes in the world. This work develops a set of concrete examples where such issues arise in provenance, discusses the core conceptual distinctions involved, and postulates a basic mechanism for extending provenance models to enable integration across granularities and process types, recognizing the OPM ‘agent’ concept as a special case.

We have developed a secure, collaborative, web-based electronic notebook (EN) designed to provide researchers and students with a means to record and share their primary research notes and data. The Pacific Northwest National Laboratory (PNNL) Electronic Laboratory Notebook (ELN) supports a variety of common multimedia formats and can easily be extended to allow entry and display of custom data types.

... Kleban, Stubblefield, Mitchiner, Mitchiner and Arms present another engineering related CPSE in ¿Collaborative Evaluation of Early Design Decisions and Product Manufacturability¿. ... top of page AUTHORS. Carmen M. Pancerella No contact information provided yet. ...

... they were initially reticent about using real-time tools to share data, even if they knew how. ... complete, the speaker said “over.” Those listening indicated to other team members they had received ... Ideally, we would use lon-gitudinal studies to assess if prob-lems are solved faster ...

MAEviz is a state-of-the-art earthquake risk assessment environment built to quickly bring new research results into production analyses. It is built upon an extensible Open Services Gateway Initiative (OSGi) based GIS application platform and leverages distributed content management, workflow, and virtual-organization based design concepts. MAEviz has been developed as a collaboration between the National Center for Supercomputing Applications and the

MAEviz is an open-source project that helps reduce the time from discovery gap that exists between researchers, practitioners, and decision makers by integrating the latest research findings, most accurate data, and new methodologies into a single software product. It was developed as a platform to perform seismic risk assessment based on the mid-america earthquake (MAE) center research in the consequence-based

MAEviz is an open-source project that helps reduce the time from discovery gap that exists between researchers, practitioners, and decision makers by integrating the latest research findings, most accurate data, and new methodologies into a single software product. MAEviz was developed as a platform to perform seismic risk assessment based on the Mid-America Earthquake (MAE) Center research in the consequence-based