Integration of Non-OAI Resources for Federated Searching in DLIST

Federated, distributed, and broadcast searches on the Internet depend on an underlying common metadata framework by which the information resources to be searched are organized. The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is designed to facilitate searches across OAI-compliant databases. Software such as Arc allow service providers to offer federated searching of multiple, OAI-compliant resources. The majority of web-accessible information resources, however, are not OAI-compliant. This article describes a process whereby readily available open source tools and customized scripts were developed for integrating metadata from non-OAI compliant repositories for a federated search. The work described is being carried out as part of the development of the Digital Library of Information Science and Technology (DLIST), an Eprints repository

Recommendations for a Cockpit Display that Integrates Weather Information with Traffic Information

This effort was supported by the System-Wide Accident Prevention element of NASA s Aviation Safety Program. This document may serve as a first step toward the goal of integrating traffic, weather, and terrain information; it provides recommendations for a cockpit display that integrates weather information with traffic information. While some of the recommendations are general enough to be used for any type of operations, these recommendations are targeted for Federal Aviation Regulations Part 121 Operations. The document is organized in the following manner. First, weather information is discussed as an independent subject matter, and recommendations are presented for presenting weather in the cockpit. Second, traffic is discussed independently, but this discussion essentially reviews work on the display of traffic in the cockpit. Third, recommendations for the cockpit integration of weather and traffic information are discussed. Fourth, several research groups are recognized for their efforts in developing systems that are relevant to the current discussion. Finally, closing remarks provide suggestions for future efforts

HICSS Panel Report on Cognitive Foreshadowing: Next Steps in Applying Neuroscience and Cognitive Science to Information Systems Research

The use of neurophysiological tools in the information systems domain has received increased attention over the last decade. The Hawaii International Conference on System Sciences has helped provide a home for rigorously exploring such work through related minitracks and symposia. This paper reports on a panel presented at the 49th HICSS conference held in 2016 during a symposium organized to help orient interested researchers to the usefulness of cognitive neuroscience in IS research. This paper first introduces the rise in the IS discipline for integrating the methodologies and tools of cognitive neuroscience. It then presents individual viewpoints from the varying panel members at the symposium as they addressed questions of longevity, applicability, and next steps for the neuroIS subdiscipline. The four panel members included Alan Dennis, Angelika Dimoka, Allen Lee, and Ofir Turel

A pattern-based approach to a cell tracking ontology

Time-lapse microscopy has thoroughly transformed our understanding of biological motion and developmental dynamics from single cells to entire organisms. The increasing amount of cell tracking data demands the creation of tools to make extracted data searchable and interoperable between experiment and data types. In order to address that problem, the current paper reports on the progress in building the Cell Tracking Ontology (CTO): An ontology framework for describing, querying and integrating data from complementary experimental techniques in the domain of cell tracking experiments. CTO is based on a basic knowledge structure: the cellular genealogy serving as a backbone model to integrate specific biological ontologies into tracking data. As a first step we integrate the Phenotype and Trait Ontology (PATO) as one of the most relevant ontologies to annotate cell tracking experiments. The CTO requires both the integration of data on various levels of generality as well as the proper structuring of collected information. Therefore, in order to provide a sound foundation of the ontology, we have built on the rich body of work on top-level ontologies and established three generic ontology design patterns addressing three modeling challenges for properly representing cellular genealogies, i.e. representing entities existing in time, undergoing changes over time and their organization into more complex structures such as situations

Constrained sampling of 2.5D probabilistic maps for augmented inference

© 2016 IEEE. This work exploits modeling spatial correlation in 2.5D data using Gaussian Processes (GPs), and produces constrained sampling realizations on these models to improve certainty in the predictions by means of integrating additional sparse information. Data organized in 2.5D such as elevation and thickness maps has been extensively studied in the fields of robotics and geostatistics. These maps are typically represented as a probabilistic 2D grid that stores an estimated value (height or thickness) for each cell. With the increasing popularity and deployment of robotic devices for infrastructure inspection, 2.5D data becomes a common interpretation of the condition of the target being inspected. Modeling the spatial dependencies and making inferences on new grid locations is a common task that has been addressed using GPs, but inference results on locations which are weakly correlated with the training data are generally not sufficiently informative and distinctly uncertain. The predictive capability of the proposed framework, which is applicable to any 2.5D data, is demonstrated with field inspection data from pipelines. Specifically, sparse and complementary measurements from alternative sensing modalities have been incorporated into the model to predict in more detail local thickness conditions where GP training data is limited. The output of this work aims to probabilistically present variations of the target in the case that both accuracy and reasonable diversity are of significant interest

Integrating Authentic Digital Resources in Support of Deep, Meaningful Learning

"Integrating Authentic Digital Resources in Support of Deep, Meaningful Learning," a white paper prepared for the Smithsonian by Interactive Educational Systems Design Inc., describes instructional approaches that apply to successful teaching with the Smithsonian Learning Lab.After defining its use of terms such as deeper learning and authentic resources the authors review the research basis of three broad approaches that support integrating digital resources into the classroom:Project-based learningGuided exploration of concepts and principlesGuided development of academic skillsThese approaches find practical application in the last section of the paper, which includes seven case studies. Examples range from first-grade science, to middle-school English (including ELL strategy) to a high-school American government class. In each example, students study and analyze digital resources, going on to apply their knowledge and deepen their understanding of a range of topics and problems

Digital Scholarship: Applying Digital Tools to Undergraduate Student Research Papers, A Proposal for a Freshman Seminar. Part I: Definition of Student Research Methodology

There are many digital tools that can be used for research and presentation in nearly every college discipline, including the social sciences and humanities. These tools hold the promise to radically change both the process and products of research. But in their application these tools have failed miserably to live up to their promise. This paper is based on the hypothesis that one reason these tools do reach their potential is that there is no systemic way to include them in research process, resulting in the tools being seen as ways to improve the final research product. This results in the tools becoming just an added on kludge, and leading researchers to the conclude that they are hard to use, full of bugs and other problems, and that they do not bring a lot of value to the research. This paper is an attempt to address this problem of including digital tools in a research process. It is part of a series of papers proposing a systematic methodology for including digital tools in a research process. This paper is the first, and outlines a methodology for the research process that allows the application of digital tools to a small area, undergraduate student research papers. It will outline a development process that will systematize the steps in the research process. These steps will then be used to classify the digital tools, and show how they can be applied to the research process. The final product of this paper will be a process methodology for creating student research papers to be used in a class to be run as a freshman seminar. The students will be taught this research methodology, and be led through the development of a research paper using the steps defined in this methodology. The steps in the process being enhanced using appropriate digital tools applicable to each step in the methodology. The ability of the students to do research using the research methodology and digital tools will be measured by the degree of success the students have in completing a humanities/social science research product as part of the class. The students will be followed in a longitudinal study by asking them to complete a short survey at the end of each year of their undergraduate education

Practical Strategies for Integrating a Conversation Analyst in an Iterative Design Process

We present a case study of an iterative design process that includes a conversation analyst. We discuss potential benefits of conversation analysis for design, and we describe our strategies for integrating the conversation analyst in the design process. Since the analyst on our team had no previous exposure to design or engineering, and none of the other members of our team had any experience with conversation analysis, we needed to build a foundation for our interaction. One of our key strategies was to pair the conversation analyst with a designer in a highly interactive collaboration. Our tactics have been effective on our project, leading to valuable results that we believe we could not have obtained using another method. We hope that this paper can serve as a practical guide to those interested in establishing a productive and efficient working relationship between a conversation analyst and the other members of a design team.Comment: 11 page