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BIS

“Unraveling K-12 Standard Alignment; Report on a New Attempt”

We present the results of an experiment which indicates that automated alignment of electronic learning objects to educational standards may be more feasible than previously implied. We highlight some important deficiencies in existing alignment systems and formulate suggestions for improved future ones. We consider how the changing substance of newer educational standards, a multi-faceted view of standard alignment, and a more nuanced view of the ‘alignment’ concept may bring the long-sought goal of automated standard alignment closer. We explore how lexical similarity of documents, a World+Method representation of semantics, and network-based analysis can yield promising results. We furthermore investigate the nature of false positives to better understand how validity of match is evaluated so as to better focus future alignment system development.
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Byron Marshall, Rene Reitsma and Carleigh Samson "Unraveling K-12 Standard Alignment; Report on a New Attempt" Joint Conference on Digital Libraries 2016 View on: Google Scholar

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Academic Journal
BIS

“User-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization System”

Explosive growth in biomedical research has made automated information extraction, knowledge integration, and visualization increasingly important and critically needed. The Arizona BioPathway (ABP) system extracts and displays biological regulatory pathway information from the abstracts of journal articles. This study uses relations extracted from more than 200 PubMed abstracts presented in a tabular and graphical user interface with built-in search and aggregation functionality. This article presents a task-centered assessment of the usefulness and usability of the ABP system focusing on its relation aggregation and visualization functionalities. Results suggest that our graph-based visualization is more efficient in supporting pathway analysis tasks and is perceived as more useful and easier to use as compared to a text-based literature viewing method. Relation aggregation significantly contributes to knowledge acquisition efficiency. Together, the graphic and tabular views in the ABP Visualizer provide a flexible and effective interface for pathway relation browsing and analysis. Our study contributes to pathway-related research and biological information extraction by assessing the value of a multi-view, relation-based interface which supports user-controlled exploration of pathway information across multiple granularities.
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Karin Quiñones, Hua Su, Byron Marshall, Shauna Eggers and Hsinchun Chen "User-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization System" IEEE Transactions on Information Technology in Biomedicine IEEE Transactions on Information Technology in Biomedicine 527-536 pages 2007 View on: Google Scholar

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Academic Journal
BIS

“Using Importance Flooding to Identify Interesting Networks of Criminal Activity”

Cross-jurisdictional law enforcement data sharing and analysis is of vital importance because law breakers regularly operate in multiple jurisdictions. Agencies continue to invest massive resources in various sharing initiatives despite several high-profile failures. Key difficulties include: privacy concerns, administrative issues, differences in data representation, and a need for better analysis tools. This work presents a methodology for sharing and analyzing investigation-relevant data and is potentially useful across large cross-jurisdictional data sets. The approach promises to allow crime analysts to use their time more effectively when creating link charts and performing similar analysis tasks. Many potential privacy and security pitfalls are avoided by reducing shared data requirements to labeled relationships between entities. Our importance flooding algorithm helps extract interesting networks of relationships from existing law enforcement records using user-controlled investigation heuristics, spreading activation, and path-based interestingness rules. In our experiments, several variations of the importance flooding approach outperformed relationship-weight-only methods in matching expert-selected associations. We find that accuracy in not substantially affected by reasonable variations in algorithm parameters and demonstrate that user feedback and additional, case-specific information can be usefully added to the computational model.
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Byron Marshall, Hsinchun Chen and Siddharth Kaza "Using Importance Flooding to Identify Interesting Networks of Criminal Activity" Journal of the Association for Information Science and Technology Journal of the Association for Information Science and Technology 2099-2114 pages 2008 View on: Google Scholar

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Academic Journal
BIS

“Using Information Systems to Sense Opportunities for Innovation: Integrating Post-Adoptive IS Use Behaviors with the Dynamic Managerial Capability Perspective”

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Nicholas Roberts, D. Campbell and L. Vijayasarathy "Using Information Systems to Sense Opportunities for Innovation: Integrating Post-Adoptive IS Use Behaviors with the Dynamic Managerial Capability Perspective" Journal of Management Information Systems 45-69 pages 2016 View on: Google Scholar

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Conference
BIS

“Visualizing Aggregated Biological Pathway Relations”

The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway
relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine’s PubMed collection.
Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multigranular visual paradigm aligns well with various research tasks,
helping users find relevant articles and discover new information.
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Byron Marshall, Hua Su, Shauna Eggers and Hsinchun Chen "Visualizing Aggregated Biological Pathway Relations" Proceedings of the 2005 Joint ACM/IEEE Conference on Digital Libraries (JCDL 2005), June 7-11, 2005 , Denver, CO 2005 View on: Google Scholar

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Conference
BIS

“Visualizing basic accounting flows: does XBRL + model + animation = understanding?”

The usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. Representing traditional financial statements in this electronic and interoperable format should allow managers, investors, regulators, and importantly students to aggregate, compare and analyze financial information. Processing such data requires an understanding of the underlying paradigms embedded in consolidated sets of financial statements. This work explores the feasibility and effectiveness of an XBRL-based visualization tool, presenting an organizational framework, mapping that framework to financial statements and the XBRL formalism, and demonstrating a visual representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students in introductory financial accounting classes. This preliminary finding suggests the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.
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Byron Marshall, Kristian Mortenson, Kevin Price and Andrew Marshall "Visualizing basic accounting flows: does XBRL + model + animation = understanding?" American Accounting Association 18th Annual Strategic and Emerging Technologies Research Workshop 2009

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Academic Journal
BIS

“Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?”

The usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. This format should allow managers, investors, regulators, and students to aggregate, compare and analyze financial information. This study explores an XBRL-based visualization tool that maps the organization of financial statements captured in the XBRL formalism into a graphical representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students. Our findings suggest the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.
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Byron Marshall, Kristian Mortenson and Kevin Price "Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?" International Journal of Digital Accounting Research 27-54 pages 2010 View on: Google Scholar

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Academic Journal
BIS

“What Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data”

How much does the cloud know about us? Should we care? In cloud computing, sensitive personal data flows in a global network of internet connected computers, creating attractive targets for hackers, challenging law enforcement and raising concerns about government surveillance. From an information privacy perspective, this article discusses how well the management information systems practices and laws in the United States and Europe protect the privacy and security of sensitive consumer data in the cloud. It examines policies and proposed regulations and makes suggestions for legal reforms in both jurisdictions to protect the privacy and security of sensitive information.
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Nancy King and Venkataramani Raja "What Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data" American Business Law Journal 413-482 pages 2013 View on: Google Scholar

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Conference
BIS

“Will SOC Telemetry Data Improve Predictive Models of User Riskiness? A Work in Progress”

This extended abstract describes our planned efforts to usefully integrate psychometric and telemetry data to help identify cybersecurity risks and more effectively analyze cybersecurity events.
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Michael Curry, Byron Marshall, Forough Shadbad and Sanghyun Hong "Will SOC Telemetry Data Improve Predictive Models of User Riskiness? A Work in Progress" WISP2022: 2022 Workshop on Information Security and Privacy (WISP) 2022

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