Computer Sciences Commons^™

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 …

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 …

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 …

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 …

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 …

Doctor Patient Module, Harpreet Singh Ujjal

Theses Digitization Project

The aim of this project is to design an efficient and reliable web application which would allow patients to make appointments with doctors in a certain hospital which would include online scheduling, via text messages and via phone calls. The user friendly interface is designed suing XHTML, CSS and JAVA script. The Business Logic layer uses open source PHP technology. The Database layer is MySql.

Contextual Ontology Alignment Of Lod With An Upper Ontology: A Case Study With Proton, Prateek Jain, Peter Z. Yeh, Kunal Verma, Reymonrod G. Vasquez, Mariana Darnorva, Pascal Hitzler, Amit P. Sheth

Kno.e.sis Publications

The Linked Open Data (LOD) is a major milestone towards realizing the Semantic Web vision, and can enable applications such as robust Question Answering (QA) systems that can answer queries requiring multiple, disparate information sources. However, realizing these applications requires relationships at both the schema and instance level, but currently the LOD only provides relationships for the latter. To address this limitation, we present a solution for automatically finding schema-level links between two LOD ontologies – in the sense of ontology alignment. Our solution, called BLOOMS+, extends our previous solution (i.e. BLOOMS) in two significant ways. BLOOMS+ 1) uses a …

Reconciling Owl And Rules, David Carral Martinez, Adila A. Krisnadhi, Frederick Maier, Kunal Sengupta, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We report on a recent advance in integrating Rules and OWL. We discuss a recent proposal, known as nominal schemas, which realizes a seamless integration of Datalog rules into the description logic SROIQ which underlies OWL 2 DL. We present extensions of the standardized OWL syntaxes to incorporate nominal schemas, reasoning algorithms, and a first naive implementation. And we argue why this approach goes a long way towards overcoming the present paradigm split.

Linux 101: Ci-Trainseminar, Edward Aractingi

IT Research

An overview of how the Linux operating system.

Adopting Virtualized 10gbe Ethernet Iscsi San For Mission Critical Applications, Edward Aractingi, Allen Taylor, David Griggs

IT Research

The presentation will provide insight into the decision to move from a fibre channel SAN solution, the resulting performance metrics and financial savings seen by Marshall University. Presented at The Ohio Higher Education Computing Council (OHECC) March 23, 2011.

A Unit Test Approach For Database Schema Evolution, Katarina Grolinger, Miriam A M Capretz

Electrical and Computer Engineering Publications

Context: The constant changes in today’s business requirements demand continuous database revisions. Hence, database structures, not unlike software applications, deteriorate during their lifespan and thus require refactoring in order to achieve a longer life span. Although unit tests support changes to application programs and refactoring, there is currently a lack of testing strategies for database schema evolution.

Objective: This work examines the challenges for database schema evolution and explores the possibility of using various testing strategies to assist with schema evolution. Specifically, the work proposes a novel unit test approach for the application code that accesses databases with the objective …

Privacy-Aware An Scalable Content Dissemination In Distributed Social Networks, Pavan Kapanipathi, Julia Anaya, Amit P. Sheth, Brett Slatkin, Alexandre Passant

Kno.e.sis Publications

Centralized social networking websites raise scalability issues - due to the growing number of participants - and, as well as, policy concerns - such as control, privacy and ownership over the user's published data. Distributed Social Networks aim to solve this issue by enabling architecture where people own their data and share it their own way. However, the privacy and scalability challenge is still to be tackled. This paper presents a privacy-aware extension to Google's PubSubHubbub protocol, using Semantic Web technologies, solving both the scalability and the privacy issues in Distributed Social Networks. We enhanced the traditional feature of PubSubHubbub …

Semantic Social Mashup Approach For Designing Citizen Diplomacy, Amit P. Sheth

Kno.e.sis Publications

Advancement in technology has brought exceptional connectivity, easy and open access to communication mediums via Internet. Everyday millions of people are interactively communicating to each other and sharing multimedia content through Social Media/Networks, Web-based and mobile-based technologies. Social media provides variety of interesting, engaging applications such as Twitter, Facebook, YouTube, Flicker, Blogs. People interested in contributing to global welfare and improving humanity are connected to various NGO's like Red Cross, Ushahidi (www.ushahidi.com), eMoksha (emoksha.org), etc. Social media and NGOs are acting as an excellent medium of communication and sharing, connected diverse people irrespective of their nationality, religion, culture, etc. Social …

Relativistic Red-Black Trees, Philip William Howard, Jonathan Walpole

Computer Science Faculty Publications and Presentations

Operating system performance and scalability on sharedmemory many-core systems depends critically on efficient access to shared data structures. Scalability has proven difficult to achieve for many data structures. In this paper we present a novel and highly scalable concurrent red-black tree. Red-black trees are widely used in operating systems, but typically exhibit poor scalability. Our red-black tree has linear read scalability, uncontended read performance that is at least 25% faster than other known approaches, and deterministic lookup times for a given tree size, making it suitable for realtime applications.

Finding Haystacks With Needles: Ranked Search For Data Using Geospatial And Temporal Characteristics, Veronika Margaret Megler, David Maier

Computer Science Faculty Publications and Presentations

The past decade has seen an explosion in the number and types of environmental sensors deployed, many of which provide a continuous stream of observations. Each individual observation consists of one or more sensor measurements, a geographic location, and a time. With billions of historical observations stored in diverse databases and in thousands of datasets, scientists have difficulty finding relevant observations. We present an approach that creates consistent geospatial-temporal metadata from large repositories of diverse data by blending curated and automated extracts. We describe a novel query method over this metadata that returns ranked search results to a query with …

A Cultural Analysis Of Information Technology Offshore Outsourcing: An Exercise In Multi-Sited Ethnography Of Virtual Work, Tara Eaton

Wayne State University Dissertations

This study is an exploration of how ethnography and anthropological analysis can provide new understanding of transnational, multi-sited research phenomena. Research focused on the work activities of one American client organization and its Indian IT service provider situated in the global virtual field of Information Technology (IT) offshore outsourcing. The Principal Investigator adapted and applied an ethnographic approach for her fieldwork in order to understand the norms, beliefs, and values about work, as well as the relationship between cultural differences and virtual communication. Dissertation findings offer new insight for anthropological discussions of globalization as well as suggest further development of …

Using Organizational, Coordination, And Contingency Theories To Examine Project Manager Insights On Agile And Traditional Success Factors For Information Technology Projects, Michael J. Doherty

Walden Dissertations and Doctoral Studies

Two dominant research views addressing disappointing success rates for information technology (IT) projects suggest project success may depend on the presence of a large number of critical success factors or advocate for agile project management as an alternative to traditional practice. However, after two decades of research, success rates remain low, and the role of critical success factors or project management approach remains unclear. The purpose of this study was to use views of experienced project managers to explore the contribution of success factors and management approach to project success. Applying organizational, coordination, and contingency theories, the research questions examined …