Physical Sciences and Mathematics Commons^™

Moving First Life Into Secondlife: Real World Opportunities For Virtual Teams And Virtual World Project Management, Dawn Owens, Alanah Davis, John D. Murphy, Deepak Khazanchi, Ilze Zigurs

Information Systems and Quantitative Analysis Faculty Publications

Consider a world where you can: conduct training sessions and bring together experts from around the globe in a single, common environment where learning is possible; hold effective meetings in a shared space where distant resources and people can come together to communicate, laugh, and create artifacts quickly and easily; and, coordinate a project with ease and overcome cultural barriers to team effectiveness. These scenarios can be realized with virtual world (VW) technology.

Information Technology (It) Investment Decisions Under Asymmetric Information: A Modified Rational Expectation Model, Jinlan Ni, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

In this paper, we propose that information technology (IT) managers make investment decisions about new IT initiatives based on a modified rational expectation model. Unlike traditional rational expectation models, we emphasize the relevance of market uncertainty and its impact on the return of new IT investment. This results in information acquisition decisions by managers that can cause information asymmetry. This information asymmetry is endogenous and so the IT manager can become well informed if and only if it is beneficial to do so. We also capture different levels of IT investment across managers by introducing heterogeneity across managers in terms …

Continuous Visible Nearest Neighbour Queries, Yunjun Gao, Baihua Zheng, Wang-Chien Lee, Gencai Chen

Research Collection School Of Computing and Information Systems

In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query line segment q, a CVNN query returns a set of (p, R) tuples such that p ? P is the nearest neighbor (NN) to every point r along the interval R ? q as well as p is visible to r. Note that p may be NULL, meaning that all points in P are invisible to all points in R, due to the obstruction of some obstacles in …

Fast Object Search On Road Networks, Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng

Research Collection School Of Computing and Information Systems

In this paper, we present ROAD, a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search space pruning technique and providing a dynamic object mapping mechanism, ROAD is very efficient and flexible for various types of queries, namely, range search and nearest neighbor search, on objects over large-scale networks. ROAD is named after its two components, namely, Route Overlay and Association Directory, designed to address the network traversal and object access aspects of the framework. In ROAD, a large road network is organized as a hierarchy of interconnected regional sub-networks …

Web Query Recommendation Via Sequential Query Prediction, Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee Peng Lim, Hang Li

Research Collection School Of Computing and Information Systems

Web query recommendation has long been considered a key feature of search engines. Building a good Web query recommendation system, however, is very difficult due to the fundamental challenge of predicting users' search intent, especially given the limited user context information. In this paper, we propose a novel "sequential query prediction" approach that tries to grasp a user's search intent based on his/her past query sequence and its resemblance to historical query sequence models mined from massive search engine logs. Different query sequence models were examined, including the naive variable length N-gram model, Variable Memory Markov (VMM) model, and our …

House Of Cards, M. Thulasidas

Research Collection School Of Computing and Information Systems

We are in dire straits - no doubt about it. Our banks and financial edifices are collapsing. Those left standing also look shaky. The financial industry as a whole is battling to survive. And, as its frontline warriors, we will bear the brunt of the blood- bath sure to ensue any minute now. A good opportunity to play solitaire?

Semantic Integration Of Citizen Sensor Data And Multilevel Sensing: A Comprehensive Path Towards Event Monitoring And Situational Awareness, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Node Isolation Model And Age-Based Neighbor Selection In Unstructured P2p Networks, Zhongmei Yao, Derek Leonard, Dmitri Loguinov

Computer Science Faculty Publications

Previous analytical studies of unstructured P2P resilience have assumed exponential user lifetimes and only considered age-independent neighbor replacement. In this paper, we overcome these limitations by introducing a general node-isolation model for heavy-tailed user lifetimes and arbitrary neighbor-selection algorithms. Using this model, we analyze two age-biased neighbor-selection strategies and show that they significantly improve the residual lifetimes of chosen users, which dramatically reduces the probability of user isolation and graph partitioning compared with uniform selection of neighbors. In fact, the second strategy based on random walks on age-proportional graphs demonstrates that, for lifetimes with infinite variance, the system monotonically increases …

Computing For Human Experience: Sensors, Perception, Semantics, Web N.0, And Beyond, Amit P. Sheth

Kno.e.sis Publications

Traditionally there has been a strong separation between computing and human activities in the real world. The approach has largely been that of mapping the complexity and richness of the real world to constrained computer models and languages for more efficient computation, and then transferring the results for use in the real world. I think the time is ripe to reverse the situation, for computing and communication to transparently enrich and enhance human experience. Today, devices enable something more than a 'human instructs machine' paradigm. We are seeing computing and communication engage transparently in human activities by enriching them in …

Avatars, People, And Virtual Worlds: Foundations For Research In Metaverses, Alanah Davis, John D. Murphy, Dawn Owens, Deepak Khazanchi, Ilze Zigurs

Information Systems and Quantitative Analysis Faculty Publications

Metaverses are immersive three-dimensional virtual worlds in which people interact as avatars with each other and with software agents, using the metaphor of the real world but without its physical limitations. The ubiquitous availability of high speed Internet access has spurred enormous interest in virtual worlds like Second Life and World of Warcraft, both in terms of user gaming and as a new technological platform for global virtual collaboration. These environments have potential for richer, more engaging collaboration, but their capabilities have yet to be examined in depth. Of particular interest in this paper is the use of metaverses for …

A Life Cycle Perspective On Online Community Success, Alicia Iriberri '06, Gondy Leroy

CGU Faculty Publications and Research

Using the information systems lifecycle as a unifying framework, we review online communities research and propose a sequence for incorporating success conditions during initiation and development to increase their chances of becoming a successful community, one in which members participate actively and develop lasting relationships. Online communities evolve following distinctive lifecycle stages and recommendations for success are more or less relevant depending on the developmental stage of the online community. In addition, the goal of the online community under study determines the components to include in the development of a successful online community. Online community builders and researchers will benefit …

Learning Image‐Text Associations, Tao Jiang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. Whereas most existing work on Web information fusion has focused on text-based multidocument summarization, this paper concerns the topic of image and text association, a cornerstone of cross-media Web information fusion. Specifically, we present two learning methods for discovering the underlying associations between images and texts based on small training data sets. The first method based on vague transformation measures the information similarity between the visual features and the textual features through a set of predefined domain-specific …

Stochastic Modeling Western Paintings For Effective Classification, Jialie Shen

Research Collection School Of Computing and Information Systems

As one of the most important cultural heritages, classical western paintings have always played a special role in human live and been applied for many different purposes. While image classification is the subject of a plethora of related publications, relatively little attention has been paid to automatic categorization of western classical paintings which could be a key technique of modern digital library, museums and art galleries. This paper studies automatic classification on large western painting image collection. We propose a novel framework to support automatic classification on large western painting image collections. With this framework, multiple visual features can be …

Voting In Group Support Systems : Theory, Implementation, And Results From An Exploratory Study, Kung-E Cheng

Dissertations

Group decision making is essential in organizations. Group Support Systems (GSS) can aide groups in making decisions by providing tools and process support. GSS is especially useful for geographically or temporally distributed groups. Researchers of GSS have pointed out that convergence processes are hard to accomplish in GSS. Voting tools in GSS can be a valuable asset in alleviating the difficulty of convergence processes because voting is a concise communication of individual preferences with a well defined procedure that is accepted by group members. In addition, voting results can serve as a group memory of the convergence processes. Field observations …

Collaborative Learning Utilizing A Domain-Based Shared Data Repository To Enhance Learning Outcomes, David J. Lubliner

Dissertations

A number of learning paradigms have postulated that knowledge formation is a dynamic process where learners actively construct a representation of concepts integrating information from multiple sources. Current teaching strategies utilize a compartmentalized approach where individual courses contain a small subset of the knowledge required for a discipline. The intent of this research is to provide a framework to integrate the components of a discipline into a cohesive whole and accelerate the integration of concepts enhancing the learning process. The components utilized to accomplish these goals include two new knowledge integration models; a Knowledge Weighting Model (KWM) and the Aggregate-Integrate-Master …

Blogger, William Osei-Poku

William Osei-Poku

No abstract provided.

Why Gujarat Needs Much Better Higher Education & Research To Succeed In Knowledge Economy & What We Can Do About It?, Amit P. Sheth, Kamlesh Lulla, Sanjay Chaudhary

Kno.e.sis Publications

This white paper distills the deliberations on the role of higher education and research as a key enabler of a Knowledge based Society. In particular it discusses (a) the importance of higher quality PhDs for building a knowledge society, (b) the initiatives and progress in competing economies in higher education and research, (c) where Gujarat stands in comparison, and (d) some recommendations on what Gujarat can do to enable timely progress towards building a knowledge based society and economy. These deliberations were conducted in conjunction with the International Conference on 'Reconnecting Gujarati Diaspora with its Homeland: Contribution to its Development …

A Methodology To Allow Rural Extension Professionals To Build (With Don Kerr And John Gammack), Shah Jahan Miah

Dr Shah Jahan Miah

Expert systems (ES) development technology has been used to build rural business applications in the past but these have usually been developed using traditional expert systems shells. This paper introduces a new architecture for the development of a design environment where the domain experts can build a knowledge base for target-specific ES for rural business operators. The system allows rural business operators to use their own knowledge in building their own, target-specific ES for tailored development to their own specific requirements. At this stage, this reusable design environment caters for the Australian dairy industry but in the long run we …

How Can Information And Communication Technology Bring About Development? An Information Architecture For Guiding Interventions In Developing Regions, Mehruz Kamal, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

While a great deal is known about how Information and Communication Technologies are used in developing and underserved communities, there are still gaps as to how ICTs may enable development outcomes to be achieved. It appears that the majority of businesses in developing regions are micro-enterprises which employ between 1-5 people and face challenges of limited resources. This research investigates what is known about how ICTs bring about development and uses these insights to develop an information architecture adapted from the Zachman Framework that integrates the different perspectives. In this research, the key stakeholders are the micro-entrepreneurs who adopt technology …

Archetype Alignment: A Two-Level Driven Semantic Matching Approach To Interoperability In The Clinical Domain, Damon Berry, Jesus Bisbal

Conference Papers

Semantic interoperability between electronic health record systems and other information systems in the health domain implies agreement about the structure and the meaning of the information that is communicated. There are still a number of similar but different EHR system approaches. Some of the newer approaches adopt the two-layer model approach where a generic reference model is constrained by archetypes into valid clinical concepts which can be exchanged. The meaning of the concepts that are represented by an archetype can be conveyed by embedding codes from a commonly recognised terminology at appropriate points in the archetype. However, as the number …

The Lookup Technique To Replace Nested-If Formulas In Spreadsheet Programming, Thomas A. Grossman Jr., O Ozluk, J Gustavson

Business Analytics and Information Systems

Spreadsheet programmers often implement contingent logic using a nested-IF formula even though this technique is difficult to test and audit and is believed to be risky. We interpret the programming of contingent logic in spreadsheets in the context of traditional computer programming. We investigate the “lookup technique” as an alternative to nested-IF formulas, describe its benefits for testing and auditing, and define its limitations. The lookup technique employs four distinct principles: 1) make logical tests visible; 2) make outcomes visible; 3) make logical structure visible; and 4) replace a multi-function nested-IF formula with a single-function lookup formula. It can be …

Ore: A Framework To Measure Organizational Risk During Information Systems Evolution, Aditya Agrawal, Gavin Finnie, Padmanabhan Krishnan

Padmanabhan Krishnan

Information systems (IS) change initiatives often represent the single largest investment (and therefore risk) for large corporations, yet there exist few management frameworks in the literature to help decision makers measure organizational risk in a balanced manner during this organization-wide change process. The ORE framework has been developed as a design science artifact based on the Leavitt diamond paradigm as a multi-criteria, relative risk, condition consequence, management decision framework enabling decision makers to calculate and compare risk evolution at fixed points of the change cycle and make structured and balanced risk mitigation decisions. In this chapter the principles, architecture and …

Deriving Causal Explanation From Qualitative Model Reasoning, Rukaini Abdullah

Rukaini Abdullah

This paper discusses a qualitative simulator QRiOM that uses Qualitative Reasoning (QR) technique, and a process-based ontology to model, simulate and explain the behaviour of selected organic reactions. Learning organic reactions requires the application of domain knowledge at intuitive level, which is difficult to be programmed using traditional approach. The main objective of QRiOM is to help learners gain a better understanding of the fundamental organic reaction concepts, and to improve their conceptual comprehension on the subject by analyzing the multiple forms of explanation generated by the software. This paper focuses on the generation of explanation based on causal theories …

Assisting Novice Researchers In Utilizing The Web As A Platform For Research: Semantic Approach, Maizatul Akmar Ismail

Maizatul Akmar Ismail

The access to internet has tremendously changed the way of information dissemination. The emergence of digital libraries and institutional repositories provides endless supplies of knowledge. Scholars in particular, make use of research output in the form of conference proceedings, journal and theses as references and guideline in generating new knowledge for the use of future generations. Novice researchers are the form of scholars which always drown in the ocean of information. This scholarly content resides on several heterogeneous databases that need to be integrated. Support in the early stage of study is crucial for novice researchers as it will give …

Administrative Perspectives On Technology Integration: The Globaloria: Myglife Program In West Virginia, William E. Chapman Jr.

Theses, Dissertations and Capstones

The reputed benefits of using technology in schools have been the topic of many research studies. When the World Wide Workshop Foundation implemented their Globaloria program into a group of pilot public secondary schools in West Virginia in the fall of 2008, another opportunity for study was created. The perceptions of principals relating to: 1) the effect(s) of the Globaloria program on students‘ academic outcomes; 2) the purpose(s) of the program; 3) the principal‘s role in the program 4) the benefits; and/or 5) the liabilities of having the program in their schools were examined in this mixed-method study. Analysis of …

Ontologies And Rules, Pascal Hitzler, Bijan Parsia

Computer Science and Engineering Faculty Publications

Ontologies and rules are two established paradigms in knowledge modelling, and play an important role for the Semantic Web. In this chapter, we present an introduction to common approaches for combining OWL ontologies and rules. In particular, we cover the Semantic Web Rules Language SWRL and Description Logic Programs DLP, and give pointers to the literature.

Knowledge Management And Organizational Learning, William R. King, Sajda Qureshi, Mehruz Kamal, Peter Keen

Faculty Books and Monographs

Editor: William R. King

Chapter, Knowledge Networking to Overcome the Digital Divide, co-authored by Sajda Qureshi, UNO faculty member.

As organizations become increasingly extended across global boundaries, their reliance on information and communication technologies (ICTs) to support their processes increases. The use of ICTs to activate dispersed knowledge within complex webs of human networks can enable the gap between the information rich and information poor to be overcome. This paper develops a new concept called knowledge networking and investigates how this process enables the digital divide to be overcome. Following a phenomenological analysis of knowledge networking using a selection of …

Classification And Cluster Analysis Of Complex Time-Of-Flight Secondary Ion Mass Spectrometry For Biological Samples, Stephen E. Reichenbach, Xue Tian, Qingping Tao, Alex Henderson

CSE Conference and Workshop Papers

Identifying and separating subtly different biological samples is one of the most critical tasks in biological analysis. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is becoming a popular and important technique in the analysis of biological samples, because it can detect molecular information and characterize chemical composition. ToF-SIMS spectra of biological samples are enormously complex with large mass ranges and many peaks. As a result the classification and cluster analysis are challenging. This study presents a new classification algorithm, the most similar neighbor with a probability-based spectrum similarity measure (MSN- PSSM), which uses all the information in the entire ToF- SIMS …

Promoting A Mastery Goal Orientation In Children Through The Education Of Parents And Caregivers, Connie Imelda Medinilla

Theses Digitization Project

The purpose of this project is the development of a workshop entitled "Learning is the Goal" which targets parents and caregivers of elementary school children. The principle behind the workshop is to provide parents with a foundation of knowledge that can be utilized as their children continue their schooling from the elementary years through high school.

Integration Of Mapping Web Services And Scalable Vector Graphics, Suneetha Chinamuthevi

Theses Digitization Project

The purpose of this project was to develop a web-based application integrating mapping web services and SVG (Scalable Vector Graphics). This project helps a user locate a set of addresses anywhere in the United States on a map. The underlying mapping and address locator software systems are very complex and require large data sets and updates on a regular basis. The web services technology encapsulates tose complexities and exposes the required functionality in a secure manner over the internet.