Science and Technology Studies Commons^™

The Role Of Organizational Culture In Effective Team Development, Jack G. Montgomery Jr.

DLTS Faculty Publications

The concepts surrounding team management and organizational culture may seen unrelated when initially considering the implementation of some form of team management however in fact both concepts are intimately connected. The success of any team management effort may depend on the successful identification, understanding and management of that wide variety of social and procedural elements collectively known as the organizational culture. This paper examines the role of organizational culture and how it impacts a manager or administrator introducing and implementing team management concepts to their workplace. The author will examine the definition of organizational culture, the various types of cultures …

Lessons Learned As Author And Editor, Connie Foster

DLTS Faculty Publications

Writing and editing are dynamic, creative processes. At some point both author and editor must release the finished product and submit to the production process (more copy editing, proofing and queries). To offer the best manuscript possible, some tips are presented.

Reviews And End Matter

BEADS: Journal of the Society of Bead Researchers

The Art of Beadwork: Historic Inspiration, Contemporary Design, by Valerie Hector (2005), reviewed by Alice Scherer

Beads of Borneo, by Heidi Munan (2005), reviewed by Hwei-Fe'n Cheah.

Beads: Journal Of The Society Of Bead Researchers - Volume 18 (Complete)

BEADS: Journal of the Society of Bead Researchers

No abstract provided.

Dilthey And Simmel: A Reading From/Toward Buber's Philosophy Of History, Jules Simon

Selected Works Temporary Series

No abstract provided.

Hegels Familienbegriff – Vermittelt Durch Rosenzweig: Darstellung Einer Eigentuemlichen Geschichte, Jules Simon

Selected Works Temporary Series

No abstract provided.

Taxaminer: Improving Taxonomy Label Quality Using Latent Semantic Indexing, Cartic Ramakrishnan, Christopher Thomas, Vipul Kashyap, Amit P. Sheth

Kno.e.sis Publications

The development of taxonomies/ontologies is a human intensive process requiring prohibitively large resource commitments in terms of time and cost. In our previous work we have identified an experimentation framework for semi-automatic taxonomy/hierarchy generation from unstructured text. In the preliminary results presented, the taxonomy/hierarchy quality was lower than we had anticipated. In this paper, we present two variations of our experimentation framework, viz. Latent semantic Indexing (LSI) for document indexing and the use of term vectors to prune labels assigned to nodes in the final taxonomy/hierarchy. Using our previous results of taxonomy/hierarchy quality as the baseline we present results that …

Data Processing In Space, Time, And Semantics Dimensions, Farshad Hakimpour, Boanerges Aleman-Meza, Matthew Perry, Amit P. Sheth

Kno.e.sis Publications

This work presents an experimental system for data processing in space, time and semantics dimensions using current Semantic Web technologies. The paper describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics dimensions. These functionalities are implemented based on our existing technology for main-memory based RDF data processing developed in the LSDIS Lab. A number of these functionalities are exposed as REST Web services. We present two sample client side applications that are developed using a combination …

Semi-Supervised Conditional Random Fields For Improved Sequence Segmentation And Labeling, Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans

Kno.e.sis Publications

We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled and unlabeled training data. Our approach is based on extending the minimum entropy regularization framework to the structured prediction case, yielding a training objective that combines unlabeled conditional entropy with labeled conditional likelihood. Although the training objective is no longer concave, it can still be used to improve an initial model (e.g. obtained from supervised training) by iterative ascent. We apply our new training algorithm to the problem of identifying gene and protein …

An Investigation Of Codon Usage Bias Including Visualization And Quantification In Organisms Exhibiting Multiple Biases, Douglas W. Raiford, Travis E. Doom, Dan E. Krane, Michael L. Raymer

Kno.e.sis Publications

Prokaryotic genomic sequence data provides a rich resource for bioinformatic analytic algorithms. Information can be extracted in many ways from the sequence data. One often overlooked process involves investigating an organism’s codon usage. Degeneracy in the genetic code leads to multiple codons coding for the same amino acids. Organism’s often preferentially utilize specific codons when coding for an amino acid. This biased codon usage can be a useful trait when predicting a gene’s expressivity or whether the gene originated from horizontal transfer. There can be multiple biases at play in a genome causing errors in the predictive process. For this …

A Semantic Future For Ai, Rudi Studer, Anupriya Ankolekar, Pascal Hitzler

Computer Science and Engineering Faculty Publications

In our modern information society, people need to manage ever-increasing numbers of personal devices and conduct more of their work and activities online, often making use of heterogeneous services. The amount of information to be processed by each individual is constantly growing, making it increasingly difficult to control, channel, share and make constructive use of it. To mitigate this, computing needs to become much more human-centered, e.g. by presenting personalised information to users and by respecting personal preferences in controlling multiple devices or invoking various services. Appropriate representation of the semantics of the information and functionality of devices and services …

Table Of Contents (V. 18, 2006)

BEADS: Journal of the Society of Bead Researchers

No abstract provided.

Front Matter

BEADS: Journal of the Society of Bead Researchers

No abstract provided.

Predicting Domain Specific Entities With Limited Background Knowledge, Christopher Thomas, Amit P. Sheth

Kno.e.sis Publications

This paper proposes a framework for automatic recognition of domain-specific entities from text, given limited background knowledge, e.g. in form of an ontology. The algorithm exploits several lightweight natural language processing techniques, such as tokenization and stemming, as well as statistical techniques, such as singular value decomposition (SVD) to suggest domain relatedness of unknown entities.

Using Query-Specific Variance Estimates To Combine Bayesian Classifiers, Chi-Hoon Lee, Russell Greiner, Shaojun Wang

Kno.e.sis Publications

Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a novel "query specific" combination rule: After learning a set of simple belief network classifiers, we produce an answer to each query by combining their individual responses, using weights based inversely on their respective variances around their responses. These variances are based on the uncertainty of the network parameters, which in turn depend on the training datasample. In essence, this variance quantifies the base classifier's confidence of its response to this query. …

Clustering Similarity Comparison Using Density Profiles, Eric Bae, James Bailey, Guozhu Dong

Kno.e.sis Publications

The unsupervised nature of cluster analysis means that objects can be clustered in many ways, allowing different clustering algorithms to generate vastly different results. To address this, clustering comparison methods have traditionally been used to quantify the degree of similarity between alternative clusterings. However, existing techniques utilize only the point memberships to calculate the similarity, which can lead to unintuitive results. They also cannot be applied to analyze clusterings which only partially share points, which can be the case in stream clustering. In this paper we introduce a new measure named ADCO, which takes into account density profiles for each …

An Online Discriminative Approach To Background Subtraction, Li Cheng, Shaojun Wang, Terry Caelli

Kno.e.sis Publications

We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that is able to cope with illumination changes due to discontinuous switching, or illumination drifts caused by slower processes such as varying time of the day. Starting from a discriminative learning principle, we derive a training algorithm that, for each pixel, computes a weighted linear combination of selected past observations with time-decay. We present experimental results that show the proposed approach outperforms existing methods on both synthetic sequences and real video data.

A Correlation Study Between Employee Perception And Customer Satisfaction In An Automotive Manufacturing Corporation, Jason Travis Felton

Masters Theses

Organizations may be able to utilize internal measures of customer and employee satisfaction in order to get a head start on potential customer satisfaction issues. Correlation analysis is employed to determine significance between measures of employee perception and the pulse of customer satisfaction. Employee perceptions and external customer satisfaction metrics are quantified across 3 manufacturing sites to determine relationships between key indicators. Validated survey questions are compiled statistically in composite groups in order to evaluate employee perceptions of customer satisfaction efforts and employee satisfaction efforts. Results are evaluated using Pearson product moment "r". Results indicate a positive correlation exists between …

A Study Of Knowledge Management Used For Managing Quality Systems In Selected Manufacturing Organizations In Coles And Effingham Counties, Merlin Haryati

Masters Theses

The globalization and information revolutions increase the complexity and competition resulting in a business environment that is no longer stable and static. Executives of all organizations face the challenge of adopting new management practices to keep their organizations vibrant in a rapidly changing technological business world. Knowledge management is one of the emerging fields that promise workplace improvements by putting the tacit knowledge of the company into use.

The emergence of knowledge management in the year 2000 caused organizations to realize that their intellectual assets are central to their survival. Managing and harvesting these assets is the focus of knowledge …

Electronic Privacy In Asia: What Is The Effect Of The Fantabulous Kawaii Gizmos, Wireless Privacy Daemons (Waveband: 2.4-Ghz) & Orientalism, Adrien David Cheok, Roger Thomas Tan

SWITCH

This article explores how attitudes towards digital privacy is different in Asia than it is in the West, especially as mobile devices are becoming increasingly part of everyday life.

Classification And Nomenclature Of Beads And Pendants, Horace C. Beck

BEADS: Journal of the Society of Bead Researchers

The year 2006 marks the 80th anniversary of the presentation of a "Classification and Nomenclature of Beads and Pendants" by Horace C. Beck to the Society of Antiquaries of London in 1926. It was subsequently published in the society's journal Archaeologia in 1928 (vol. 77, pp. 1-76). While it is somewhat out of date, it nevertheless remains a classic in its field and is still the only comprehensive work that deals with the classification of beads of complex shapes and forms. Seeing the value of this work, George Shumway reprinted it in 1973. This edition is now out of print. …

Captions And Color Plates (V. 18, 2006)

BEADS: Journal of the Society of Bead Researchers

No abstract provided.

Driving Deep Semantics In Middleware And Networks: What, Why And How?, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Knowledge Modeling And Its Application In Life Sciences: A Tale Of Two Ontologies, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, William S. York, Samir Tartir

Kno.e.sis Publications

High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantification of a structurally diverse collection of biomolecules. The ability to share, compare, query for and most critically correlate datasets using the native biological relationships are some of the challenges being faced by glycobiology researchers. As a solution for these challenges, we are building a semantic structure, using a suite of ontologies, which supports management of data and information at each step of the experimental lifecycle. This framework will enable researchers to leverage the large scale of glycoproteomics …

Show Me What You Mean! Exploiting Domain Semantics In Ontology Visualization, Ravi Pavagada, Christopher Thomas, Amit P. Sheth, William S. York

Kno.e.sis Publications

Ontologies build the backbone for many life-sciences applications. These ontologies, however, are represented in XML based languages that are meant for machine-consumption and hence are difficult for humans to comprehend. For a meaningful visualization of these ontologies, it is important that the display of entities and relationships captures the cognitive representation of the domain as perceived by the domain experts. In this paper we present OntoVista, an ontology visualization tool that is adaptable to the needs of different domains, especially in the life sciences. While keeping the graph structures as the predominant model, we provide a semantically enhanced graph display …

Indicators For The Evolution Of The Academic Architecture Library, Jeanne M. Brown

Library Faculty Research

The future is not really something one can predict, which does not, of course, keep us from speculating. In fact, the rapid advance of technology in the last ten years has made talking about the future something of a sport and resulted in "future" becoming code for "changes in technology." The future as determined by technology is not the major thrust of this article, although changes in technology are a given to just about anyone's future. Instead, the future is more broadly considered by looking at what is happening around us and speculating on the implications. This article attempts to …