Science and Technology Studies Commons^™

Overview Of Contrast Data Mining As A Field And Preview Of An Upcoming Book, Guozhu Dong, James Bailey

Kno.e.sis Publications

This report provides an overview of the field of contrast data mining and its applications, and offers a preview of an upcoming book on the topic. The importance of contrasting is discussed and a brief survey is given covering the following topics: general definitions and terminology for contrast patterns, representative contrast pattern mining algorithms, applications of contrast mining for fundamental data mining tasks such as classification and clustering, applications of contrast mining in bioinformatics, medicine, blog analysis, image analysis and subgroup mining, results on contrast based dataset similarity measure, and on analyzing item interaction in contrast patterns, and open research …

Computing Inconsistency Measure Based On Paraconsistent Semantics, Pascal Hitzler, Yue Ma, Guilin Qi

Computer Science and Engineering Faculty Publications

Measuring inconsistency in knowledge bases has been recognized as an important problem in several research areas. Many methods have been proposed to solve this problem and a main class of them is based on some kind of paraconsistent semantics. However, existing methods suffer from two limitations: (i) they are mostly restricted to propositional knowledge bases; (ii) very few of them discuss computational aspects of computing inconsistency measures. In this article, we try to solve these two limitations by exploring algorithms for computing an inconsistency measure of first-order knowledge bases. After introducing a four-valued semantics for first-order logic, we define an …

Extrapolating Strategies For The Scientific And Technological Development Of Underdeveloped Societies From The Examples Of South Korea, Slovenia And Serbia, Vuk Uskoković, Dragan Uskoković

Pharmacy Faculty Articles and Research

The recent history of scientific excellence of a society could be used as an indicator of its economic, cultural and communal prosperity. In this work, two examples of countries that successfully arose from the remnants of comparative poverty and established themselves as scientifically thriving societies, South Korea and Slovenia, are compared with the case of Serbia, a country that is presumably on the doorsteps of a similarly explosive developmental path. Guidelines for social progress in the direction of greater scientific and social prominence are outlined in the course of the discourse. It is concluded that the ideal model of growth …

Digital Distance And Economic Development In Southeast Asia, Patricia Hornback

Faculty Publications - George Fox Digital

In the global financial system the economic strength, competency, and development of national economies and populations is significantly affected by the availability and use of Information Communication Technology (ICT). While the wealthier, industrialized nations enjoy the widest availability and use of these key technologies, the capacity and access to ICT is limited in developing nations and least developed countries (LDCs). Consequently, the lack of technology in many Southeast Asian countries may contribute significantly to their status as underdeveloped nations with impoverished economies and populations. This study explores the extent to which key social, economic, ethnolinguistic and infrastructure indicators outlined in …

Development Of A Simulation Tool For Analysis Of Freeway Crashes Due To Cell Phone Usage, Sourabh Sriom

UNLV Theses, Dissertations, Professional Papers, and Capstones

Research shows that drivers are susceptible to numerous distractions while driving which can be held responsible as the reason of a crash. Usage of cell phones, i.e. talking or texting while driving is considered one of the prominent distractions which causes a crash. This dissertation aims to study the number of crashes occurring on the freeways and their relation with the drivers of these cars using cell phones while they are driving. Since crashes occur relatively less frequently, the study of crashes is done using what is called the "rare event" theory. Java based simulations are done to model a …

Perceptions Of Medical Professionals Towards Sustainability Orientation And Acceptability Of Eco-Friendly Medical Scrubs, Siddharth S. Alashe

Master's Theses and Doctoral Dissertations

This research explores the perceptions of medical professionals towards sustainability orientation and acceptability of eco-friendly medical scrubs. This study examines the correlation between sustainability orientation and scrub properties as a means of finding the perceptions of medical professionals on the mentioned topic. Also, gender, department of medical professional, their age and work experience, and the price of the eco-friendly scrubs were considered as factors affecting the correlation. This study included surveying the medical professionals who used scrubs as uniforms, by distributing questionnaires and analyzing responses using SPSS. Results showed that as sustainability orientation increases, medical professionals give less importance to …

Fashion: Hedonic Vs. Utilitarian: A Study Of Fit Issues Of Women’S Ready To Wear And An Examination Of The Technology Acceptance Model For Consumer Adoption Of 3d Body Scanning For Improved Fit Of Denim, Aimee Rzepka

Master's Theses and Doctoral Dissertations

This study exposes the problems women face in the ready to wear (RTW) apparel sizing system and also investigates the idea that 3D body scanning technology can be used to eliminate ill-fitting apparel for consumers, in this case denim pants (jeans). In order to investigate why consumers have not yet adopted this technology, a survey was conducted using principles from the Technology Acceptance Model (TAM) to understand the motivations of females aged 18-35 towards adopting this new technology. Two hypotheses were formed: non-adoption is caused by hedonic motivation, or non-adoption is caused by utilitarian motivations. It can be concluded from …

Advancing The Practice Of Cognitive Task Analysis: A Call For Taxonomic Research, Kenneth A. Yates, David F. Feldon

Instructional Technology and Learning Sciences Faculty Publications

Cognitive task analysis (CTA) captures unobservable cognitive processes, decisions and judgments of expert performance. Over 100 different CTA methods are identified in prior literature. However, existing classifications typically sort techniques by process rather than outcome, application or causal mechanism. Therefore, techniques can be misapplied and comparative analysis of methods made difficult. Based on the frequency distribution of CTA methods in 1065 studies, a subsample representing 60% of the most frequently published methods was coded based on elicitation and analysis techniques. Consistency of resulting applications was assessed. Inconsistent matching of CTA methods and subsequent applications indicate CTA is currently more craft …

The Knowledge-Driven Exploration Of Integrated Biomedical Knowledge Sources Facilitates The Generation Of New Hypotheses, Vinh Nguyen, Olivier Bodenreider, Todd Minning, Amit P. Sheth

Kno.e.sis Publications

Knowledge gained from the scientific literature can complement newly obtained experimental data in helping researchers understand the pathological processes underlying diseases. However, unless the scientific literature and experimental data are semantically integrated, it is generally difficult for scientists to exploit the two sources effectively. We argue that, in addition to the semantic integration of heterogeneous knowledge sources, the usability of the integrated resource by scientists is dependent upon the availability of knowledge visualization and exploration tools. Moreover, the integration techniques must be scalable and the exploration interfaces must be easy to use by bench scientists. The end goal of such …

Demonstration: Secure - Semantics Empowered Rescue Environment, Pratikkumar Desai, Cory Andrew Henson, Pramod Anantharam, Amit P. Sheth

Kno.e.sis Publications

This paper demonstrates a Semantic Web enabled system for collecting and processing sensor data within a rescue environment. The real-time system collects heterogeneous raw sensor data from rescue robots through a wireless sensor network. The raw sensor data is converted to RDF using the Semantic Sensor Network (SSN) ontology and further processed to generate abstractions used for event detection in emergency scenarios.

Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The emergence of dynamic information sources – including sensor networks – has led to large streams of real-time data on the Web. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years [1]. With this coming data explosion, real-time analytics software must either adapt or die [2]. This paper focuses on the task of integrating and analyzing multiple heterogeneous streams of sensor data with the goal of creating meaningful abstractions, or features. These features are then temporally aggregated …

Acm Chapter Volume I Issue I, Touro College Student Chapter Of The Association Of Computing Machinery

Yearbooks and Newsletters

"Social Media" issue.

Sempush: Privacy-Aware And Scalable Broadcasting For Semantic Microblogging, Pavan Kapanipathi, Julia Anaya, Alexandre Passant

Kno.e.sis Publications

Users of traditional microblogging platforms such as Twitter face drawbacks in terms of (1) Privacy of status updates as a followee - reaching undesired people (2) Information overload as a follower - receiving uninteresting microposts from followees. In this paper we demonstrate distributed and user-controlled dissemination of microposts using SMOB (semantic microblogging framework) and Semantic Hub (privacy-aware implementation of PuSH3 protocol) . The approach leverages users' Social Graph to dynamically create group of followers who are eligible to receive micropost. The restrictions to create the groups are provided by the followee based on the hastags in the micropost. Both SMOB …

Semantic Annotation And Search For Resources In The Next Generation Web With Sa-Rest, Ajith H. Ranabahu, Amit P. Sheth, Maryam Panahiazar, Sanjaya Wijeratne

Kno.e.sis Publications

SA-REST, the W3C member submission, can be used for supporting a wide variety of Plain Old Semantic HTML (POSH) annotation capabilities on any type of Web resource. Kino framework and tools provide support of capabilities to realize SA-RESTs promised value. These tools include (a) a browser-plugin to support annotation of a Web resource (including services) with respect to an ontology, domain model or vocabulary, (b) an annotation aware indexing engine and (c) faceted search and selection of the Web resources. At one end of the spectrum, we present Kino^E (aka Kino for Enterprise) which uses NCBO formal ontologies and …

A Domain Specific Language For Enterprise Grade Cloud-Mobile Hybrid Applications, Ajith H. Ranabahu, E. Michael Maximilien, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

Cloud computing has changed the technology landscape by offering flexible and economical computing resources to the masses. However, vendor lock-in makes the migration of applications and data across clouds an expensive proposition. The lock-in is especially serious when considering the new technology trend of combining cloud with mobile devices.

In this paper, we present a domain specific language (DSL) that is purposely created for generating hybrid applications spanning across mobile devices as well as computing clouds. We propose a model-driven development process that makes use of a DSL to provide sufficient programming abstractions over both cloud and mobile features. We …

Personalized Filtering Of The Twitter Stream, Pavan Kapanipathi, Fabrizio Orlandi, Amit P. Sheth, Alexandre Passant

Kno.e.sis Publications

With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive uninterested information due to their non-overlapping interests from the people whom they follow. In this paper we present a Semantic Web approach to filter public tweets matching interests from personalized user profiles. Our approach includes automatic generation of multi-domain and personalized user profiles, filtering Twitter stream based on the generated profiles and delivering them in real-time. Given that users interests and personalization needs change with time, we also discuss …

Do Libraries Still Need Book Vendors And Subscription Agents?, Stephen Bosch, Christopher Sugnet, J. Cory Tucker, Lauren Corbett

Library Faculty Research

Digital content blurs the lines of traditional library acquisition workflows and organization. For example: link resolvers and the loading of order confirmation record files may be handled by systems staff in one organization and by technical services staff in another. Lines are being crossed between acquisitions and interlibrary loan functions, notably with electronic versions of theses and dissertations. Regardless of this blurring of lines, library staff use vendors still in acquiring content for the library collection. The reasons for using vendors have stood for decades, but are changes in the information industry having an impact? In the current environment, what …

The Myth Of Progress In Science: Dialectics, Distortion And Lysenkoism In The Soviet Union, Mark A. Ferguson Jr.

The Hilltop Review

The scientific controversy surrounding Lysenkoism is both unparalleled and well known amongst historians and philosophers of science (Joravsky 1970, McMullin 1987, Pollock 2009, Wolfe 2010). Yet, while this may be true for scholars and students a generation ago, I argue that the controversy of Lysenkoism is not widely known today. Particularly in political science, this historical period and phenomenon in the Soviet Union remains irrelevant or at least, inconsequential to the scientific study of politics.

Semantic Computing In Real-World: Vertical And Horizontal Application Within Enterprise And On The Web, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Kino: A Generic Document Management System For Biologists Using Sa-Rest And Faceted Search, Ajith Harshana Ranabahu, Priti Parikh, Maryam Panahiazar, Amit P. Sheth

Kno.e.sis Publications

Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing scientific documents require a semi-automatic approach to overcome issues of large volume, yet support the human participation in the process. In this paper we present Kino, a set of tools that streamline the document management process in life science domains. Kino is integrated with National Center for Biomedical Ontology (NCBO), providing scientists access to quality domain models. Annotated documents are indexed using a faceted …

Graduate Students’ Teaching Experiences Improve Their Methodological Research Skills, David F. Feldon, James Peugh, Briana E. Timmerman, Michelle A. Maher, Melissa Hurst, Denise Strickland, Joanna A. Gilmore, Cindy Stiegelmeyer

Instructional Technology and Learning Sciences Faculty Publications

Science, technology, engineering, and mathematics (STEM) graduate students are often encouraged to maximize their engagement with supervised research and minimize teaching obligations. However, the process of teaching students engaged in inquiry provides practice in the application of important research skills. Using a performance rubric, we compared the quality of methodological skills demonstrated in written research proposals for two groups of early career graduate students (those with both teaching and research responsibilities and those with only research responsibilities) at the beginning and end of an academic year. After statistically controlling for preexisting differences between groups, students who both taught and conducted …

Best Instructional Practices For Distance Education: A Meta-Analysis, Robin Michael Roberts

UNLV Theses, Dissertations, Professional Papers, and Capstones

Recent meta-analyses on the efficacy of distance education have concluded that no significant difference exists between face-to-face and distance education. At the same time, these meta-analyses noted that considerable heterogeneity existed between the individual studies used in the meta-analyses. Investigation of moderators responsible for that heterogeneity suggested that four things other than media delivery were primarily responsible for the majority of variation between study outcomes: methodological quality, instructor involvement, type of interaction, instructional methods and time-on-task. A comparative meta-analysis was performed to further investigate these moderators. Methodological quality, maturational differences in students and any undetermined media effects were controlled for …

Evaluating And Implementing Web Scale Discovery Services: Part Two, Jason Vaughan, Tamera Hanken

Library Faculty Presentations

Part Four: Quick Tour of the Current Marketplace:

• "The Big 5"
• Similarities and differences

Part Five: It's Not All Sliced Bread:

• Shortcomings of web scale discovery

Part Six: Implementation (pre launch steps):

• Selecting and preparing implementation staff
• Preparing and communicating process/decisions with all staff
• Working with the vendor (roles, expectations, timeline)
• Workflow changes and implications (technical services)

Part Seven: Specific implementation tasks, issues, and considerations:

• Record loading and mapping (catalog content)
• Harvesting and mapping digital/local content
• Working with central index data (internal & external content)
• Web integration and customization
• Assessment and continuous improvement

Citizen Sensing: Opportunities And Challenges In Mining Social Signals And Perceptions, Amit P. Sheth

Kno.e.sis Publications

Millions of persons have become 'citizens' of an Internet- or Web-enabled social community. Web 2.0 fostered the open environment and applications for tagging, blogging, wikis, and social networking sites that have made information consumption, production, and sharing so incredibly easy. An interconnected network of people who actively observe, report, collect, analyze, and disseminate information via text, audio, or video messages, increasingly through pervasively connected mobile devices, has led to what we term citizen sensing. In this talk, we review recent progress in supporting collective intelligence through intelligent processing of citizen sensing. Key issues we cover in this talk are: - …

Measuring The Perceived Attributes Of Innovation: A Study Of Capacitive Switch Technology In Industrially Designed User Interface Controls, Aaron B. Stachewicz

Master's Theses and Doctoral Dissertations

The purpose of this research was to test the applicability of Rogers’ theory of innovation diffusion as it relates to measuring the perceived attributes of innovations of capacitive switch technology in user interface controls. This study used a Likert scale to collect data on the following perceived attributes of innovation including relative advantage, compatibility, trialability, demonstrability, visibility, ease of use, image, voluntariness, perceived risk, and perceived resources as outlined by Rogers (1995), Moore and Benbasat (1991), and Dupagne and Driscoll (2005). Results indicated whether a consumer is willing to accept capacitive switch innovation in industrially designed user interface controls.

Evaluating And Implementing Web Scale Discovery Services: Part One, Jason Vaughan, Tamera Hanken

Library Faculty Presentations

Preface: Before Web Scale Discovery

• A very brief overview

Part 1: What is Web Scale Discovery

• Content
• Technology

Part 2: Why is Web Scale Discovery important?

• What’s the need?
• How is it different from earlier attempts at broad discovery?

Part 3: A Framework for Evaluating Web Scale Discovery Services

• What we did at UNLV
• Other options

Local Closed World Semantics: Keep It Simple, Stupid!, Adila Krishnadhi, Kunal Sengupta, Pascal Hitzler

Computer Science and Engineering Faculty Publications

A combination of open and closed-world reasoning (usually called local closed world reasoning) is a desirable capability of knowledge representation formalisms for Semantic Web applications. However, none of the proposals made to date for extending description logics with local closed world capabilities has had any significant impact on applications. We believe that one of the key reasons for this is that current proposals fail to provide approaches which are intuitively accessible for application developers at the same time are applicable, as extensions, to expressive description logics as SROIQ, which underlies the Web Ontology Language OWL.

In this paper, we propose …

Web Wisdom: An Essay On How Web 2.0 And Semantic Web Can Foster A Global Knowledge Society, Christopher Thomas, Amit P. Sheth

Kno.e.sis Publications

Admittedly this is a presumptuous title that should never be used when reporting on individual research advances. Wisdom is just not a scientific concept. In this case, though, we are reporting on recent developments on the web that lead us to believe that the web is on the way to providing a platform for not only information acquisition and business transactions but also for large scale knowledge development and decision support. It is likely that by now every web user has participated in some sort of social function or knowledge accumulating function on the web, many times without even being …

Smob: The Best Of Both Worlds, Alexandre Passant, Julia Anaya, Owen Sacco, Pavan Kapanipathi

Kno.e.sis Publications

This paper presents the architecture of SMOB and the way it combines Semantic Web standards (RDF(S) / SPARQL) and new protocols such as PubSubHubbub to enable a Federated and Privacy-Aware Social Web.

Automatic Domain Model Creation Using Pattern-Based Fact Extraction, Christopher Thomas, Pankaj Mehra, Wenbo Wang, Amit P. Sheth, Gerhard Weikum, Victor Chan

Kno.e.sis Publications

This paper describes a minimally guided approach to automatic domain model creation. The first step is to carve an area of interest out of the Wikipedia hierarchy based on a simple query or other starting point. The second step is to connect the concepts in this domain hierarchy with named relationships. A starting point is provided by Linked Open Data, such as DBPedia. Based on these community-generated facts we train a pattern-based fact-extraction algorithm to augment a domain hierarchy with previously unknown relationship occurrences. Pattern vectors are learned that represent occurrences of relationships between concepts. The process described can be …