Databases and Information Systems Commons^™

Propeller: A Scalable Metadata Organization For A Versatile Searchable File System, Lei Xu, Hong Jiang, Xue Liu, Lei Tian, Yu Hua, Jian Hu

School of Computing: Technical Reports

The exponentially increasing amount of data in file systems has made it increasingly important for users, administrators and applications to be able to fast retrieve files using file-search services, instead of replying on the standard file system API to traverse the hierarchical namespaces.  The quality of the file-search services  is significantly affected by the file-indexing overhead, the file-search performance and the accuracy of search results.  Unfortunately, the existing file-search solutions either are so poorly scalable that their performance degrades unacceptably when the systems scale up, or incur so much crawling delays that they produce acceptably inaccurate results.  We believe that …

Identifying And Implementing The Underlying Operators For Nuclear Magnetic Resonance Based Metabolomics Data Analysis, Ashwin Manjunatha, Ajith H. Ranabahu, Paul E. Anderson, Amit P. Sheth

Kno.e.sis Publications

The science of metabolomics is a relatively young field that requires intensive signal processing and multivariate data analysis for interpretation of experimental results. The lack of integration and standardization for metabolomics compounded by the complexity of the experimental data has lead to a fragmented research community. While efforts have been undertaken to approach these problems, the efforts to develop a set of standards for reporting processing and analysis procedures has stalled.

In this paper, we propose a set of fundamental operators for nuclear magnetic resonance(NMR) based metabolomics. These operators are implementation independent, and can be used to easily and precisely …

Georgia Knowledge Repository: Potential For The State, Marlee Givens

Giving Undergraduate Research a Worldwide Voice: Institutional Repositories as Publishers

A presentation on the Georgia Knowledge Repository, a search engine of Georgia-based institutional repositories.

More information at http://www.library.gatech.edu/gkr/

Underfunded And Understaffed: A Ground-Level View Of Ir Creation In Difficult Times, John Davison

Giving Undergraduate Research a Worldwide Voice: Institutional Repositories as Publishers

A discussion of the creation of OhioLINK, the institutional repository system for the Ohio University system.

More information at http://drc.ohiolink.edu/

Enhance And "Mobilize" The Library Catalog With Cloud Services, Jolinda Thompson

Himmelfarb Library Faculty Publications

Explores new products and services that make it possible to enhance and mobilize traditional library catalogs.

An Approach To Nearest Neighboring Search For Multi-Dimensional Data, Yong Shi, Li Zhang, Lei Zhu

Faculty Articles

Finding nearest neighbors in large multi-dimensional data has always been one of the research interests in data mining field. In this paper, we present our continuous research on similarity search problems. Previously we have worked on exploring the meaning of K nearest neighbors from a new perspective in PanKNN [20]. It redefines the distances between data points and a given query point Q, efficiently and effectively selecting data points which are closest to Q. It can be applied in various data mining fields. A large amount of real data sets have irrelevant or obstacle information which greatly affects the effectiveness …

Modeling Link Formation Behaviors In Dynamic Social Networks, Viet-An Nguyen, Cane Wing-Ki Leung, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Online social networks are dynamic in nature. While links between users are seemingly formed and removed randomly, there exists some interested link formation behaviors demonstrated by users performing link creation and removal activities. Uncovering these behaviors not only allows us to gain deep insights of the users, but also pave the way to decipher how social links are formed. In this paper, we propose a general framework to define user link formation behaviors using well studied local link structures (i.e., triads and dyads) in a dynamic social network where links are formed at different timestamps. Depending on the role a …

An Empirical Investigation Of Virtual World Projects And Metaverse Technology Capabilities, Dawn Owens, Alanah Davis, Deepak Khazanchi, Ilze Zigurs

Information Systems and Quantitative Analysis Faculty Publications

Metaverses are immersive three-dimensional virtual worlds (VWs) where people interact with each other and their environment, using the metaphor of the real world but without its physical limitations. Unique technology capabilities of metaverses have the potential to enhance the conduct of virtual projects, but little is known about virtual worlds in this context. Virtual project teams struggle in meeting stated project outcomes due to challenges related to communication, shared understanding, and coordination. One way to address these challenges is to consider the use of emerging technologies, such as metaverses, to minimize the impact on virtual project teams. Applying a theoretical …

Artificial Cognitive Memory - Changing From Density Driven To Functionality Driven, Luping Shi, Kaijun Yi, Kiruthika Ramanathan, Rong Zhao, Ning Ning, Ding Ding, Tow Chong Chong

Research Collection School Of Computing and Information Systems

Increasing density based on bit size reduction is currently a main driving force for the development of data storage technologies. However, it is expected that all of the current available storage technologies might approach their physical limits in around 15 to 20 years due to miniaturization. To further advance the storage technologies, it is required to explore a new development trend that is different from density driven. One possible direction is to derive insights from biological counterparts. Unlike physical memories that have a single function of data storage, human memory is versatile. It contributes to functions of data storage, information …

Pgtp: Power Aware Game Transport Protocol For Multi-Player Mobile Games, Bhojan Anand, Jeena Sebastian, Soh Yu Ming, Akhihebbal L. Ananda, Mun Choon Chan, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Applications on the smartphones are able to capitalize on the increasingly advanced hardware to provide a user experience reasonably impressive. However, the advancement of these applications are hindered battery lifetime of the smartphones. The battery technologies have a relatively low growth rate. Applications like mobile multiplayer games are especially power hungry as they maximize the use of the network, display and CPU resources. The PGTP, presented in this paper is aware of both the transport requirement of these multiplayer mobile games and the limitation posed by battery resource. PGTP dynamically controls the transport based on the criticality of game state …

Mining Social Images With Distance Metric Learning For Automated Image Tagging, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He

Research Collection School Of Computing and Information Systems

With the popularity of various social media applications, massive social images associated with high quality tags have been made available in many social media web sites nowadays. Mining social images on the web has become an emerging important research topic in web search and data mining. In this paper, we propose a machine learning framework for mining social images and investigate its application to automated image tagging. To effectively discover knowledge from social images that are often associated with multimodal contents (including visual images and textual tags), we propose a novel Unified Distance Metric Learning (UDML) scheme, which not only …

A Two-View Learning Approach For Image Tag Ranking, Jinfeng Zhuang, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Tags of social images play a central role for text-based social image retrieval and browsing tasks. However, the original tags annotated by web users could be noisy, irrelevant, and often incomplete for describing the image contents, which may severely deteriorate the performance of text-based image retrieval models. In this paper, we aim to overcome the challenge of social tag ranking for a corpus of social images with rich user-generated tags by proposing a novel two-view learning approach. It can effectively exploit both textual and visual contents of social images to discover the complicated relationship between tags and images. Unlike the …

Searching Patterns For Relation Extraction Over The Web: Rediscovering The Pattern-Relation Duality, Yuan Fang, Kevin Chen-Chuan Chang

Research Collection School Of Computing and Information Systems

While tuple extraction for a given relation has been an active research area, its dual problem of pattern search- to find and rank patterns in a principled way- has not been studied explicitly. In this paper, we propose and address the problem of pattern search, in addition to tuple extraction. As our objectives, we stress reusability for pattern search and scalability of tuple extraction, such that our approach can be applied to very large corpora like the Web. As the key foundation, we propose a conceptual model PRDualRank to capture the notion of precision and recall for both tuples and …

Distance Metric Learning From Uncertain Side Information For Automated Photo Tagging, Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu

Research Collection School Of Computing and Information Systems

Automated photo tagging is an important technique for many intelligent multimedia information systems, for example, smart photo management system and intelligent digital media library. To attack the challenge, several machine learning techniques have been developed and applied for automated photo tagging. For example, supervised learning techniques have been applied to automated photo tagging by training statistical classifiers from a collection of manually labeled examples. Although the existing approaches work well for small testbeds with relatively small number of annotation words, due to the long-standing challenge of object recognition, they often perform poorly in large-scale problems. Another limitation of the existing …

Evolution Of Developer Collaboration On The Jazz Platform: A Study Of A Large Scale Agile Project, Subhajit Datta, Renuka Sindhgatta, Bikram Sengupta

Research Collection School Of Computing and Information Systems

Collaboration is a key aspect of the agile philosophy of software development. As a software system matures over iterations, trends of developer collaboration can offer valuable insights into project dynamics. In this paper, we study evolution of developer collaboration for a large scale agile project on the Jazz platform. We construct networks of collaboration based on developer affiliations across comments on work items and file changes; and then compare parameters of such networks with established results from networks of scientific collaborations. The comparisons illuminate interesting facets of developer collaboration on the Jazz platform. Such perception helps deeper understanding of the …

Fraud Detection In Online Consumer Reviews, Nan Hu, Ling Liu, Vallabh Sambamurthy

Research Collection School Of Computing and Information Systems

Increasingly, consumers depend on social information channels, such as user-posted online reviews, to make purchase decisions. These reviews are assumed to be unbiased reflections of other consumers' experiences with the products or services. While extensively assumed, the literature has not tested the existence or non-existence of review manipulation. By using data from Amazon and Barnes & Noble, our study investigates if vendors, publishers, and writers consistently manipulate online consumer reviews. We document the existence of online review manipulation and show that the manipulation strategy of firms seems to be a monotonically decreasing function of the product's true quality or the …

Fraud Detection In Online Consumer Reviews, Nan Hu, Ling Liu, Vallbh Sambamurthy

Research Collection School Of Computing and Information Systems

Increasingly, consumers depend on social information channels, such as user-posted online reviews, to make purchase decisions. These reviews are assumed to be unbiased reflections of other consumers' experiences with the products or services. While extensively assumed, the literature has not tested the existence or non-existence of review manipulation. By using data from Amazon and Barnes & Noble, our study investigates if vendors, publishers, and writers consistently manipulate online consumer reviews. We document the existence of online review manipulation and show that the manipulation strategy of firms seems to be a monotonically decreasing function of the product's true quality or the …

A Genetic Optimization Approach For Isolating Translational Efficiency Bias, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer

Kno.e.sis Publications

The study of codon usage bias is an important research area that contributes to our understanding of molecular evolution, phylogenetic relationships, respiratory lifestyle, and other characteristics. Translational efficiency bias is perhaps the most well studied codon usage bias, as it is frequently utilized to predict relative protein expression levels. We present a novel approach to isolating translational efficiency bias in microbial genomes. There are several existent methods for isolating translational efficiency bias. Previous approaches are susceptible to the confounding influences of other potentially dominant biases. Additionally, existing approaches to identifying translational efficiency bias generally require both genomic sequence information and …

Usage Of And Satisfaction With Online Help Vs. Search Engines For Aid In Software Use, Charles J. Welty Ph.D.

Faculty Publications

Computer users have long been frustrated by software problems. It is unusual that the Help menu actually helps with the software problems they have. At the same time, computer science students and professionals have been using search engines to get help with the complex software they use. The use of search engines to get help with software by both computer scientists and students in other disciplines is investigated. Students from all disciplines tested were found to use and be more satisfied by search engines than Help. Further investigation showed that, generally, students went to other people more than Help or …

How Cios Overcome The Competing Values Challenge: Irish Cios’ Perspectives, Harvey Enns, Dean B. Mcfarlin, Paul B. Sweeney

MIS/OM/DS Faculty Publications

Competing values are a fact of organizational life. However, there are gaps in our understanding about how these opposing beliefs hinder influence processes. This article draws on interview data to demonstrate how Irish Chief Information Officers (CIOs) are able to convince their colleagues to support new projects within their firms in the face of competing values. Focused interviews were used to explore the influence process and the competing values phenomenon, since this type of research is at an early stage and qualitative methods and analysis serve as a rich source of theory development.

The data showed that the CIOs who …

Enterprise Management Studio, Himabindu Miriyala

Theses Digitization Project

The purpose of this project was to develop a web application (Enterprise Management Studio) or EMS that will publish information about all projects of a company under development in one single place. The system will provide instant information regarding the work in progress within the company. In addition to this, the system has an interactive interface through which a user can easily interact with different areas of the application. EMS is written in C Sharp, uses the Asp.net framework and Ajax techniques for web implementation, and employs the Ado framework for database communication.

Automated Case Review System For Transitional Assistance, Don Minh Le

Theses Digitization Project

The purpose of this project was to create an automated Case Review System. The current Case Review System is a manual process that is being performed by Eligibility Lead Workers and Eligibility Worker Supervisors. The reviewers utilize an Excel sheet to record every individual reviewers results and print out many copies for the appropriate parties. The automated system is designed to track, and catch mistakes in determining eligibility of the welfare applicants. Moreover, Case Review System provides the Transitional Assistance Department (TAD) the ability to report error trends as a training tool to reduce future case errors. This system shall …

My Clinic Web Application, Rohan Thomas Dmello

Theses Digitization Project

The purpose of this web application is to provide doctors and patients with one location where their data is stored and they can access through a secured environment. It will allow doctors to send perscriptions electronically to the pharmacy and allow their patients to view and edit medical appointments and their medical information online as well.

Trigeiawriter: A Content Management System, Mohan Prabhakara Ram

Theses Digitization Project

The purpose of this project was to design and implement a Content Management System (CSM). TrigeiaWriter is a Content Management System for Trigeia.com, a web based magazine site. Since TrigeiaWriter is used for a web based magazine, it incorperates different roles for the users and these roles are authors, editors, and administrators.

Visual Knowledge Representation Of Conceptual Semantic Networks, Leyla Zhuhadar, Olfa Nasraoui, Robert Wyatt, Rong Yang

Analytics & Information Systems Faculty Publications

This article presents methods of using visual analysis to visually represent large amounts of massive, dynamic, ambiguous data allocated in a repository of learning objects. These methods are based on the semantic representation of these resources. We use a graphical model represented as a semantic graph. The formalization of the semantic graph has been intuitively built to solve a real problem which is browsing and searching for lectures in a vast repository of colleges/courses located at Western Kentucky University1. This study combines Formal Concept Analysis (FCA) with Semantic Factoring to decompose complex, vast concepts into their primitives in order to …

Ua3/9/2 I.T. Division Annual Report + Tactical Plan, Wku Information Technology

WKU Administration Documents

Annual report of WKU Information Technology Division submitted to WKU President Gary Ransdell. Report is housed in UA3/9/2 Subject Files.

A Systematic Property Mapping Using Category Hierarchy And Data, Kalpa Gunaratna, Sarasi Lalithsena, Prateek Jain, Cory Andrew Henson, Amit P. Sheth

Kno.e.sis Publications

Relationships play a key role in Semantic Web to connect the dots between entities (concepts or instances in a way that enables to absorb the real sense of the entities. Even though relationships are important, it is difficult to categorize or identify them because they consist of complex knowledge in the schema. Therefore systematically identifying relationships yield many advantages and open doors for new research avenues. In this work, we try to identify a specific type of relationship (part of) in a multi-domain dataset and devised an algorithm using Wikipedia to identify patterns of part of relationships in the dataset. …

Cloudvista: Visual Cluster Exploration For Extreme Scale Data In The Could, Keke Chen, Huiqi Xi, Fengguang Tian, Shumin Guo

Kno.e.sis Publications

The problem of efficient and high-quality clustering of extreme scale datasets with complex clustering structures continues to be one of the most challenging data analysis problems. An innovate use of data cloud would provide unique opportunity to address this challenge. In this paper, we propose the CloudVista framework to address (1) the problems caused by using sampling in the existing approaches and (2) the problems with the latency caused by cloud-side processing on interactive cluster visualization. The CloudVista framework aims to explore the entire large data stored in the cloud with the help of the data structure visual frame and …

Towards Evaluating The Quality Of A Spreadsheet: The Case Of The Analytical Spreadsheet Model, Thomas A. Grossman Jr., Vijay Mehrotra, J Sander

Business Analytics and Information Systems

We consider the challenge of creating guidelines to evaluate the quality of a spreadsheet model. We suggest four principles. First, state the domain—the spreadsheets to which the guidelines apply. Second, distinguish between the process by which a spreadsheet is constructed from the resulting spreadsheet artifact. Third, guidelines should be written in terms of the artifact, independent of the process. Fourth, the meaning of “quality” must be defined. We illustrate these principles with an example. We define the domain of “analytical spreadsheet models”, which are used in business, finance, engineering, and science. We propose for discussion a framework and terminology for …

Analysis On Partial Relationship In Lod, Kalpa Gunaratna, Sarasi Lalithsena, Cory Andrew Henson, Prateek Jain

Kno.e.sis Publications

Relationships play a key role in Semantic Web to connect the dots between entities (concepts or instances) in a way that enables to absorb the real sense of the entities. Some interesting relationships would give proof for the existence of subject and object in triples which in tern can be defined as evidential relationships. Identifying evidential relationships will yield solutions to some existing inference problems and open doors for new applications and research. Part_of relationships are identified as a special kind of an evidential relationship out of membership, causality and etc. Linked Open data as a global data space would …