Physical Sciences and Mathematics Commons^™

Exploring Out-Of-Turn Interactions With Websites, Saverio Perugini, Naren Ramakrishnan, Manuel A. Pérez-Quiñones, Mary E. Pinney, Mary Beth Rosson

Computer Science Faculty Publications

Hierarchies are ubiquitous on the web for structuring online catalogs and indexing multidimensional attributed data sets. They are a natural metaphor for information seeking if their levelwise structure mirrors the user's conception of the underlying domain. In other cases, they can be frustrating, especially if multiple drill‐downs are necessary to arrive at information of interest. To support a broad range of users, site designers often expose multiple faceted classifications or provide within‐page pruning mechanisms. We present a new technique, called out-of-turn interaction, that increases the richness of user interaction at hierarchical sites, without enumerating all possible completion paths in the …

User Interface Design, Moritz Stefaner, Sebastien Ferre, Saverio Perugini, Jonathan Koren, Yi Zhang

Computer Science Faculty Publications

As detailed in Chap. 1, system implementations for dynamic taxonomies and faceted search allow a wide range of query possibilities on the data. Only when these are made accessible by appropriate user interfaces, the resulting applications can support a variety of search, browsing and analysis tasks. User interface design in this area is confronted with specific challenges. This chapter presents an overview of both established and novel principles and solutions.

Continuous Monitoring Of Spatial Queries, Kyriakos Mouratidis

Research Collection School Of Computing and Information Systems

No abstract provided.

Human Resource Management System, Saurabh Dixit

Theses Digitization Project

The purpose of this project is to design and create the Online Human Resource System (HRMS) that can be used by a wide variety of groups who deal with the employee. This system is specially designed for the medium-level company which has employees in different locations. The system also tracks the duration of work, experience in different fields and it eliminates a lot of manual paper work between the employee and the human resource department. The important feature of this product is to calculate the W4-form for California employers.

Semantics-Empowered Social Computing, Amit P. Sheth, Meenakshi Nagarajan

Kno.e.sis Publications

In this article, we discuss some of the challenges in marking-up or annotating UGC, a first step toward the realization of the social semantic Web. Using examples from real- world UGC, we show how domain knowledge can effectively complement statistical natural language processing techniques for metadata creation.

Prom: A Semantic Web Framework For Provenance Management In Science, Satya S. Sahoo, Roger Barga, Amit P. Sheth, Krishnaprasad Thirunarayan, Pascal Hitzler

Kno.e.sis Publications

The eScience paradigm is enabling researchers to collaborate over the Web in virtual laboratories and conduct experiments on an industrial scale. But, the inherent variability in the quality and trust associated with eScience resources necessitates the use of provenance information describing the origin of an entity. Existing systems often model provenance using ambiguous terminology, have poor domain semantics and include modeling inconsistencies that hinders interoperability. Further, mere collection of provenance information is of little value without a well-defined and scalable query mechanism.

In this paper, we present 'PrOM', a framework that addresses both the modeling and querying issues in eScience …

Service Level Agreement In Cloud Computing, Pankesh Patel, Ajith H. Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS) attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of …

Characterization Of 1h Nmr Spectroscopic Data And The Generation Of Synthetic Validation Sets, Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. Delraso, Travis E. Doom

Kno.e.sis Publications

Motivation: Common contemporary practice within the nuclear magnetic resonance (NMR) metabolomics community is to evaluate and validate novel algorithms on empirical data or simplified simulated data. Empirical data captures the complex characteristics of experimental data, but the optimal or most correct analysis is unknown a priori; therefore, researchers are forced to rely on indirect performance metrics, which are of limited value. In order to achieve fair and complete analysis of competing techniques more exacting metrics are required. Thus, metabolomics researchers often evaluate their algorithms on simplified simulated data with a known answer. Unfortunately, the conclusions obtained on simulated data are …

User-Generated Content On Social Media Challenges, Opportunities, Meenakshi Nagarajan

Kno.e.sis Publications

Understanding and exploiting user generated (textual) content (UGC) on social media is at the forefront of information management challenges today. The variety of UGC in detailed blog commentaries, collaborative wiki-content, online conversations, short messages in micro-blogs etc., are powering several personalization, monetization, crowd/business intelligence applications, and also providing an electronic microscope on social phenomena at an extraordinary scale. Certain characteristics of UGC however, necessitate key computational linguistic interventions before systems can tap into this data. A large portion of language found on social media is in the Informal English domain a blend of abbreviations, slang and context dependent terms delivered …

Determining The Best K For Clustering Transactional Datasets: A Coverage Density-Based Approach, Hua Yan, Keke Chen, Ling Liu

Kno.e.sis Publications

The problem of determining the optimal number of clusters is important but mysterious in cluster analysis. In this paper, we propose a novel method to find a set of candidate optimal number Ks of clusters in transactional datasets. Concretely, we propose Transactional-cluster-modes Dissimilarity based on the concept of coverage density as an intuitive transactional inter-cluster dissimilarity measure. Based on the above measure, an agglomerative hierachical clustering algorithm is developed and the Merge Dissimilarity Indexes, which are generated in hierachical cluster merging processes, are used to find the candidate optimal number Ks of clusters of transactional data. Our experimental results on …

Citizen Sensing, Social Signals, And Enriching Human Experience, Amit P. Sheth

Kno.e.sis Publications

In this article, I introduce the exciting paradigm of citizen sensing enabled by mobile sensors and human computing - that is, humans as citizens on the ubiquitous Web, acting as sensors and sharing their observations and views using mobile devices and Web 2.0 services.

Information Brokerage - A New Approach Using Knowledge Management, Robert Loew

Theses

Traditional knowledge management attempts to store the total enterprise knowledge into IT related structures, but knowledge management strategies should focus also on people and organisations and not just on technology.

This can be addressed in part by communicating knowledge between people, in and across organisations. Such communication focuses on the development and exchange of people’s experience.

This thesis introduces a hybrid knowledge management solution consisting of an automated system that includes people: employees, experts and Knowledge Brokers (KB). The hybrid concept supports the identification of suitable people for certain topics of discussion. Further, it supports the knowledge communication process by …

The Influence Of Affect, Attitude And Usefulness In The Acceptance Of Telemedicine Systems, Soussan Djamasbi,, Ann L. Fruhling, Eleanor T. Loiacono

Information Systems and Quantitative Analysis Faculty Publications

Grounded in current theories of affect this study examines the role positive and negative moods play on the acceptance of a specialized telemedicine system for microbiology consultation and diagnostics, referred to as telepathology. From a laboratory experiment using microbiology laboratory assistants, the notion that healthcare users’ attitude is an important factor in the acceptance behavior of a healthcare information system is supported. A regression analysis of the data revealed the need to tailor the IS Technology Acceptance Model for the healthcare field. Specifically, our results show that ease of use which is thought to be a main antecedent of end-user …

Animated Courseware Support For Teaching Database Design, Meg C. Murray, Mario Guimaraes

Faculty Articles

Database technologies are a core component of computing technology curricula. Their importance will only continue to expand as more and more data are retained in database systems. An effective database system is predicated on a good data model. Database design is the conceptualization of an underlying data model that progresses from identifying user requirements to graphically depicting those requirements and finally mapping the graphical models to a set of tables implemented in a physical database system. The abstract nature of much of database design makes it challenging to teach. This paper presents a set of software animations designed to support …

The Pixtalk Communication System A Smartphone Application And Companion Website For The Improvement Of Communication Skills Of Children With Autism, Gondy Leroy, Gianluca De Leo

CGU Faculty Publications and Research

No abstract provided.

Persuading Consumers To Form Precise Search Engine Queries, Gondy Leroy

CGU Faculty Publications and Research

Today’s search engines provide a single textbox for searching. This input method has not changed in decades and, as a result, consumer search behaviour has not changed either: few and imprecise keywords are used. Especially with health information, where incorrect information may lead to unwise decisions, it would be beneficial if consumers could search more precisely. We evaluated a new user interface that supports more precise searching by using query diagrams. In a controlled user study, using paper-based prototypes, we compared searching with a Google interface with drawing new or modifying template diagrams. We evaluated consumer willingness and ability to …

Predicting Inter -Organizational Knowledge Satisfaction Through Knowledge Conversion And Task Characteristics In A Minority -Owned Business, Terrence L. Ward

Walden Dissertations and Doctoral Studies

Knowledge management has been extensively studied from the single organization (intra-organizational) perspective for many years. Although the literature on intra-organizational knowledge is extensive, there still exist gaps in the literature with regards to knowledge being shared by multiple organizations (inter-organizational knowledge). Inter-organizational knowledge satisfaction is gained when the organizations successfully embody the knowledge gained via the cooperation and crystallizes that knowledge within the organization. The problem addressed in this study is the lack of a model for predicting inter-organizational knowledge satisfaction utilizing task characteristics and the knowledge conversion process. The purpose of the study was to predict inter-organizational knowledge satisfaction …

An Analysis Of The Impact Of Information Systems On The Level Of Trust In The Construction Industry, Michael Wayne Jones

Walden Dissertations and Doctoral Studies

Even though the current level of communication and information sharing is greater than it has ever been throughout the history of the construction industry, the problem under investigation stems from the results of current research that indicate that many major projects have difficulty in achieving client expectations, resulting in a negative image of the construction industry. The purpose of this study was to analyze the impact on the level of trust in the use of information systems between construction firms and their clients. The theoretical foundations of this research were based in interdependence and coordination theories. While information systems enable …

A Mobile Ecg Monitoring System With Context Collection, Jin Peng Li, Damon Berry, Richard Hayes

Conference Papers

Preventative health management represents a shift from the traditional approach of reactive treatment-based healthcare towards a proactive wellness-management approach where patients are encouraged to stay healthy with expert support when they need it, at any location and any time. This work represents a step along the road towards proactive, preventative healthcare for cardiac patients. It seeks to develop a smart mobile ECG monitoring system that requests and records context information about what is happening around the subject when an arrhythmia event occurs. Context information about the subject’s activities of daily living will, it is hoped, provide an enriched data set …

A Generic Approach To Computer-Based Clinical Practice Guideling Management Using The Eca Rule Paradigm And Active Databases, Bing Wu, Kudakwashe Dube

Articles

The increasing demand for reduced cost and improved quality of service in healthcare has prompted the call for better management of medical knowledge. The main emphasis has been on knowledge that is acquired through experience and medical research and then formalised into Clinical Practice Guidelines (CPGs). This paper presents a generic approach to CPG information and knowledge management that uses the Event-Condition-Action (ECA) rule paradigm and active databases within a unified management framework. The paper focuses on an approach for facilitating the use and management of CPGs by clinicians through delivering the CPGs at the point-of-care by a computerised mechanism.

Supporting Novice Application Users In Learning By Trial And Error And Using Help, Oscar Daniel Andrade

Open Access Theses & Dissertations

This thesis examines three related topics in analyzing user preferences for troubleshooting application usability problems and the kinds of issues that influence such preferences. The goal of this thesis is to propose (1) ways in which users can be supported to learn to use applications and (2) a model to rewrite help such that users are able to adapt its contents dynamically.

The consensus of documentation research is that users rarely use help, usually preferring to muddle through. To increase use of help, tutorials for novice users could be changed from guided presentations toward using the application's help system. To …

A Web Based Grading Assistant System, Nabeel Saeed Alzahrani

Theses Digitization Project

The purpose of this study is the design and development of a web-based tool, Gas, that can automatically, or semi-automatically grade beginner-level programs written in programming language C++. This project aims at a system that is highly customizable so that various grading criteria can be changed and implemented depending on the assignment to be graded.

Share World: A Web-Based Reuse Managment System, Raymol Philomina Rappai

Theses Digitization Project

The System Share World Web-Based Reuse Management System (WRMS) is an online website that enables the sharing of items in a web friendly environment. The project is a self-maintained web-based application managed by the community. The application can be easily customized to adapt to various communities, whether non-profit or commercial.

Modelling Situation Awareness For Context‐Aware Decision Support, Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. However, situation models in real-world applications are typically complex and not easy to use. This paper presents a Context-aware Decision Support (CaDS) system, which consists of a situation model for shared situation awareness modelling and a group of entity agents, one for each individual user, for focused and customized decision support. By incorporating a rule-based inference engine, the entity agents provide functions including event classification, action recommendation, and proactive decision making. The implementation and the performance of the proposed system are demonstrated …

Printed Document Authentication Using Texture Coding, Jonathan Blackledge, Khaled Mahmoud

Articles

The use of image based information exchange has grown rapidly over the years in terms of both e-to-e image storage and transmission and in terms of maintaining paper documents in electronic form. Further, with the dramatic improvements in the quality of COTS (Commercial-Off-The-Shelf) printing and scanning devices, the ability to counterfeit electronic and printed documents has become a widespread problem. Consequently, there has been an increasing demand to develop digital watermarking techniques which can be applied to both electronic and printed images (and documents) that can be authenticated, prevent unauthorized copying of their content and, in the case of printed …

Heuristics For Improved Enterprise Intrusion Detection, James J. Treinen

Electronic Theses and Dissertations

One of the greatest challenges facing network operators today is the identification of malicious activity on their networks. The current approach is to deploy a set of intrusion detection sensors (IDSs) in various locations throughout the network and on strategic hosts. Unfortunately, the available intrusion detection technologies generate an overwhelming volume of false alarms, making the task of identifying genuine attacks nearly impossible. This problem is very difficult to solve even in networks of nominal size. The task of uncovering attacks in enterprise class networks quickly becomes unmanageable.

Research on improving intrusion detection sensors is ongoing, but given the nature …

A Different Pencil Too Good To Be Ignored? A First Look At Wolfram|Alpha, Gizem Karaali, Bruce Yoshiwara

Pomona Faculty Publications and Research

So you came across several news pieces about Wolfram|Alpha and you’re wondering what all the fuss is about. Let’s start with the basics.

Localized Monitoring Of Knn Queries In Wireless Sensor Networks, Yuxia Yao, Xueyan Tang, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Wireless sensor networks have been widely used in civilian and military applications. Primarily designed for monitoring purposes, many sensor applications require continuous collection and processing of sensed data. Due to the limited power supply for sensor nodes, energy efficiency is a major performance concern in query processing. In this paper, we focus on continuous kNN query processing in object tracking sensor networks. We propose a localized scheme to monitor nearest neighbors to a query point. The key idea is to establish a monitoring area for each query so that only the updates relevant to the query are collected. The monitoring …

Web Social Mining, Hady W. Lauw, Ee Peng Lim

Research Collection School Of Computing and Information Systems

No abstract provided.

Quc-Tree: Integrating Query Context Information For Efficient Music Retrieval, Jialie Shen, Dacheng Tao, Xuelong Li

Research Collection School Of Computing and Information Systems

In this paper, we introduce a novel indexing scheme-query context tree (QUC-tree) to facilitate efficient query sensitive music search under different query contexts. Distinguished from the previous approaches, QUC-tree is a balanced multiway tree structure, where each level represents the data space at different dimensionality. Before the tree structure construction, principle component analysis (PCA) is applied for data analysis and transforming the raw composite features into a new feature space sorted by the importance of acoustic features. The PCA transformed data and reduced dimensions in the upper levels can alleviate suffering from dimensionality curse. To accurately mimic human perception, an …