Social and Behavioral Sciences Commons^™

21st Century Literacies: Transforming Education For Next Generation Learners, Patricia A. Iannuzzi

Library Faculty Presentations

- 21st Century Literacies

- Millennials as Learners

- Engaging the Digital Native

- A Vegas Perspective

Openws-Transaction: Enabling Reliable Web Service Transactions, Ivan Vasquez, John A. Miller, Kunal Verma, Amit P. Sheth

Kno.e.sis Publications

OpenWS-Transaction is an open source middleware that enables Web services to participate in a distributed transaction as prescribed by the WS-Coordination and WS-Transaction set of specifications. Central to the framework are the Coordinator and Participant entities, which can be integrated into existing services by introducing minimal changes to application code. OpenWS-Transaction allows transaction members to recover their original state in case of operational failure by leveraging techniques in logical logging and recovery at the application level. Depending on transaction style, system recovery may involve restoring key application variables and replaying uncommitted database activity. Transactions are assumed to be defined in …

Demonstrating Dynamic Configuration And Execution Of Web Processes, Karthik Gomadam, Kunal Verma, Amit P. Sheth, John A. Miller

Kno.e.sis Publications

Web processes are next generation workflows on the web, created using Web services. In this paper we demonstrate the METEOR-S Configuration and Execution Environment (MCEE) system. It will illustrate the capabilities of the system to a) Discover partners b) Optimize partner selection using constraint analysis, c) Perform interaction protocol and data mediation. A graphical execution monitor to monitor the various phases of execution will be used to demonstrate various aspects of the system.

Discovering Informative Connection Subgraphs In Multi-Relational Graphs, Cartic Ramakrishnan, William Milnor, Matthew Perry, Amit P. Sheth

Kno.e.sis Publications

Discovering patterns in graphs has long been an area of interest. In most approaches to such pattern discovery either quantitative anomalies, frequency of substructure or maximum flow is used to measure the interestingness of a pattern. In this paper we introduce heuristics that guide a subgraph discovery algorithm away from banal paths towards more "informative" ones. Given an RDF graph a user might pose a question of the form: "What are the most relevant ways in which entity X is related to entity Y?" the response to which is a subgraph connecting X to Y. We use our heuristics to …

Ontoqa: Metric-Based Ontology Quality Analysis, Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth, Boanerges Aleman-Meza

Kno.e.sis Publications

As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suitable for their needs. In this paper, we introduce OntoQA, an approach that analyzes ontology schemas and their populations (i.e. knowledgebases) and describes them through a well defined set of metrics. These metrics can highlight key characteristics of an ontology schema as well as its population and enable users to make an informed …

Tibor's Test Podcast - Meeting, Tibor Moldovan

Podcast Series 1

This is a podcast of NUTech meeting about podcasts.

The Paradox Of National Liberation: India, Israel And Algeria, Michael Walzer

Podcast Series 1

The Kripke Lecture, a collaboration between the Thompson Forum and the UNL Norman and Bernice Harris Center for Judaic Studies, presents Dr. Michael Walzer a leading American political theorist and professor of Social Science at the Institute for Advanced Study in Princeton, New Jersey since 1980. His recent books include Arguing about War (2004) and Politics and Passion (2005).

For eighteen years, the E.N. Thompson Forum on World Issues has brought a diversity of view points on international and public policy issues to the University of Nebraska-Lincoln and the citizens of the state in order to promote understanding and to …

Semantics For Scientific Experiments And The Web: The Implicit, The Formal And The Powerful, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Modeling Fuzzy Rules With Description Logics, Sudhir Agarwal, Pascal Hitzler

Computer Science and Engineering Faculty Publications

In real application scenarios, input data and knowledge is often vague. Likewise, it is often the case that exact reasoning over data is impossible due to complex dependencies between input data and target outputs. For practical applications, however, good approximations often suffice, and efficient calculation of an approximate answer is often preferable over complex processing which may take a long time to come up with an exact answer. Fuzzy logic supports both features by providing fuzzy membership functions and fuzzy IF-THEN rule bases. In this paper, we show how fuzzy membership functions and fuzzy rules can be modeled by means …

Dlp Isn't So Bad After All, Peter Haase, Markus Krotzsch, York Sure, Rudi Studer, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We discuss some of the recent controversies concerning the DLP fragment of OWL. We argue that it is a meaningful fragment and can serve as a basic interoperability layer between OWL and logic programming-based ontology languages.

Optimal Adaptation In Autonomic Web Processes With Inter-Service Dependencies, Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth

Kno.e.sis Publications

We present methods for optimally adapting Web processes to exogenous events while preserving inter-service dependencies. For example, in a supply chain process, orders placed by the manufacturer may get delayed in arriving. In response to this event, the manufacturer has the choice of either waiting out the delay or changing the supplier.

Inside Unlv, Suzan Dibella, Gian Galassi, Carol C. Harter, Mamie Peers, Holly Ivy De Vore, Regina Bacolas, Cate Weeks

Inside UNLV

No abstract provided.

Computing For Human Experience And Wellness, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Internet Accessibility And Usage Among Urban Adolescents In Southern California: Implications For Web-Based Health Research, C. Anderson Johnson, Ping Sun, Jennifer B. Unger, Paula Palmer, Peggy E. Gallaher, Chih-Ping Chou, Steve Sussman, Lourdes Baezconde-Garbanati

CGU Faculty Publications and Research

The World Wide Web (WWW) poses a distinct capability to offer interventions tailored to the individual’s characteristics. To fine tune the tailoring process, studies are needed to explore how Internet accessibility and usage are related to demographic, psychosocial, behavioral, and other health related characteristics. This study was based on a cross-sectional survey conducted on 2373 7th grade students of various ethnic groups in Southern California. Measures of Internet use included Internet use at school or at home, Email use, chat-room use, and Internet favoring. Logistic regressions were conducted to assess the associations between Internet uses with selected demographic, psychosocial, behavioral …

Out Of The Blue: Re-Evaluating Electra-Glide In Blue, William Blick

Publications and Research

The 1970s was a time of moral ambiguity for the cinema. The cult- favorite, Electra Glide in Blue demonstrates the polarization of ideologies in America at the time. In this film, there are several conflicting views of the Vietnam War, "Hippies", drugs, conservatism, communes, and the mistrust of authority that made up a zeitgeist of the time. This short article defines the film as a examination of the ambiguity of the 1970s.

Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds

Kno.e.sis Publications

This paper summarizes progress to date on the WSU model for engineering mathematics education, an NSF funded curriculum reform initiative at Wright State University. The WSU model seeks to increase student retention, motivation and success in engineering through application-driven, just-in-time engineering math instruction. The WSU approach involves the development of a novel freshman-level engineering mathematics course EGR 101, as well as a large-scale restructuring of the engineering curriculum. By removing traditional math prerequisites and moving core engineering courses earlier in the program, the WSU model shifts the traditional emphasis on math prerequisite requirements to an emphasis on engineering motivation for …

Inside Unlv, Lori Bachand, Mamie Peers, Carol C. Harter, Tony Allen, Holly Ivy De Vore

Inside UNLV

No abstract provided.

Unlv Magazine, Erin O'Donnell, Gillian Silver, Lori Bachand, Regina Barcolas, Tony Allen, Gian Galassi, Suzan Dibella, Diane Russell, Doug Mcinnis, Cate Weeks, Jennifer Robison, Holly Ivy De Vore

UNLV Magazine

No abstract provided.

Ga-Facilitated Knn Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer

Kno.e.sis Publications

Genetic algorithms are powerful tools for k-nearest neighbors classifier optimization. While traditional knn classification techniques typically employ Euclidian distance to assess pattern similarity, other measures may also be utilized. Previous research demonstrates that GAs can improve predictive accuracy by searching for optimal feature weights and offsets for a cosine similarity-based knn classifier. GA-selected weights determine the classification relevance of each feature, while offsets provide alternative points of reference when assessing angular similarity. Such optimized classifiers perform competitively with other contemporary classification techniques. This paper explores the effectiveness of GA weight and offset optimization for knowledge discovery using knn classifiers with …

Inside Unlv, Diane Russell, Cate Weeks, Carol C. Harter, Mamie Peers

Inside UNLV

No abstract provided.

Workshop On U.S.-Hungarian Research Collaboration To Address It Challenges For 21st Century Society, Anthony Stefanidis

University of Maine Office of Research Administration: Grant Reports

This collaborative grant workshop lays a foundation for building joint US-Hungarian research projects. The proposed set of activities is an outgrowth of ongoing discussions between NSF program managers and Hungarian Research Scientists visiting NSF in the Fall of 2002. These discussions culminated in Hungarian researchers attending and participating in the annual meeting of digital government PI's and their government agency partners in May 2003 (dgo2003). Two US researchers who organized an International Digital Government Research Collaborations panel at dgo2003, in discussion with the Hungarian participants, accepted an invitation by the Hungarians to organize a small group of US researchers to …

High-Tech Trial Lawyers And The Court: Responsibilities, Problems, And Opportunities, Fredric I. Lederer

Popular Media

No abstract provided.

"Clogging?" "No, I Said, West Virginia Blogging.", Beth Jane Toren

University Libraries Faculty Scholarship

This newsletter article provides an introductory survey of methods of communication can be leveraged by blogs in libraries. Profession-wide and local-level examples are provided along with technical advice for beginners.

Extracting Reduced Logic Programs From Artificial Neural Networks, Jens Lehmann, Sebastian Bader, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis problems, the acquired knowledge remains hidden within the network architecture and is not readily accessible for analysis or further use: Trained networks are black boxes. Recent research efforts therefore investigate the possibility to extract symbolic knowledge from trained networks, in order to analyze, validate, and reuse the structural insights gained implicitly during the training process. In this paper, we will study how knowledge in form of propositional logic programs can be obtained in such …

Integrating First-Order Logic Programs And Connectionist Systems - A Constructive Approach, Sebastian Bader, Andreas Witzel, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Significant advances have recently been made concerning the integration of symbolic knowledge representation with artificial neural networks (also called connectionist systems). However, while the integration with propositional paradigms has resulted in applicable systems, the case of first-order knowledge representation has so far hardly proceeded beyond theoretical studies which prove the existence of connectionist systems for approximating first-order logic programs up to any chosen precision. Advances were hindered severely by the lack of concrete algorithms for obtaining the approximating networks which were known to exist: the corresponding proofs are not constructive in that they do not yield concrete methods for building …

Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth

Kno.e.sis Publications

Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the Semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of Risk and Compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the Semantic …

Ontology Learning As A Use-Case For Neural-Symbolic Integration, Pascal Hitzler, Sebastian Bader, Artur Garcez

Computer Science and Engineering Faculty Publications

We argue that the field of neural-symbolic integration is in need of identifying application scenarios for guiding further research. We furthermore argue that ontology learning - as occurring in the context of semantic technologies - provides such an application scenario with potential for success and high impact on neural-symbolic integration.

Accessing The Spoken Word, Jerry Goldman, Steve Renals, Steven Bird, Franciska De Jong, Marcello Federico, Carl Fleischhauer, Mark Kornbluh, Lori Lamel, Douglas W. Oard, Claire Stewart, Richard Wright

UNL Libraries: Faculty Publications

Spoken-word audio collections cover many domains, including radio and television broadcasts, oral narratives, governmental proceedings, lectures, and telephone conversations. The collection, access, and preservation of such data is stimulated by political, economic, cultural, and educational needs. This paper outlines the major issues in the field, reviews the current state of technology, examines the rapidly changing policy issues relating to privacy and copyright, and presents issues relating to the collection and preservation of spoken audio content.

Peer-To-Peer Discovery Of Semantic Associations, Matthew Perry, Maciej Janik, Cartic Ramakrishnan, Conrad Ibanez, I. Budak Arpinar, Amit P. Sheth

Kno.e.sis Publications

The Semantic Web vision promises an extension of the current Web in which all data is annotated with machine understandable metadata. The relationship-centric nature of this data has led to the definition of Semantic Associations, which are complex relationships between resources. Semantic Associations attempt to answer queries of the form “how are resource A and resource B related?” Knowing how two entities are related is a crucial question in knowledge discovery applications. Much the same way humans collaborate and interact to form new knowledge, discovery of Semantic Associations across repositories on a peer-to-peer network can allow peers to share their …

Change And Connections: Passion And Organizational Change, Lynn Baird

E-JASL 1999-2009 (Volumes 1-10)

First paragraph:

Librarians are change agents, working in an environment that requires us to be both leading and chasing change. We lead change when we create programs to meet our institutional needs based upon our knowledge of our students and faculty, available resources, and our awareness of the potential for what might be. We chase change when institutional priorities shift suddenly, in response to external forces such as funding or politics, or as a result of leadership transitions. Change can be invigorating for us as it keeps the creative juices flowing. Conversely, it can be exhausting when we feel as …