Social and Behavioral Sciences Commons^™

The Guardian, January 28, 2009, Wright State University Student Body

The Guardian Student Newspaper

Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.

The Guardian, January 28, 2009, Wright State University Student Body

The Guardian Student Newspaper

Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.

The Guardian, January 21, 2009, Wright State University Student Body

The Guardian Student Newspaper

Eleven page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.

Why Gujarat Needs Much Better Higher Education & Research To Succeed In Knowledge Economy & What We Can Do About It?, Amit P. Sheth, Kamlesh Lulla, Sanjay Chaudhary

Kno.e.sis Publications

This white paper distills the deliberations on the role of higher education and research as a key enabler of a Knowledge based Society. In particular it discusses (a) the importance of higher quality PhDs for building a knowledge society, (b) the initiatives and progress in competing economies in higher education and research, (c) where Gujarat stands in comparison, and (d) some recommendations on what Gujarat can do to enable timely progress towards building a knowledge based society and economy. These deliberations were conducted in conjunction with the International Conference on 'Reconnecting Gujarati Diaspora with its Homeland: Contribution to its Development …

The Guardian, January 14, 2009, Wright State University Student Body

The Guardian Student Newspaper

Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.

The Guardian, January 7, 2009, Wright State University Student Body

The Guardian Student Newspaper

Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.

Community, Winter 2009, Office Of Communications And Marketing, Wright State University

Community

Thirty-six page issue of Community which was published periodically from 1996 through 2011. The magazine focused on news and events at Wright State University relating to faculty, staff, alumni, and friends of the university.

Ontologies And Rules, Pascal Hitzler, Bijan Parsia

Computer Science and Engineering Faculty Publications

Ontologies and rules are two established paradigms in knowledge modelling, and play an important role for the Semantic Web. In this chapter, we present an introduction to common approaches for combining OWL ontologies and rules. In particular, we cover the Semantic Web Rules Language SWRL and Description Logic Programs DLP, and give pointers to the literature.

Wright State University Libraries Access Newsletter Winter 2009, Wright State University Libraries

Access Newsletter

A six page newsletter created by Wright State University Libraries that addresses the current affairs of the Libraries.

Semantics-Empowered Social Computing, Amit P. Sheth, Meenakshi Nagarajan

Kno.e.sis Publications

In this article, we discuss some of the challenges in marking-up or annotating UGC, a first step toward the realization of the social semantic Web. Using examples from real- world UGC, we show how domain knowledge can effectively complement statistical natural language processing techniques for metadata creation.

Prom: A Semantic Web Framework For Provenance Management In Science, Satya S. Sahoo, Roger Barga, Amit P. Sheth, Krishnaprasad Thirunarayan, Pascal Hitzler

Kno.e.sis Publications

The eScience paradigm is enabling researchers to collaborate over the Web in virtual laboratories and conduct experiments on an industrial scale. But, the inherent variability in the quality and trust associated with eScience resources necessitates the use of provenance information describing the origin of an entity. Existing systems often model provenance using ambiguous terminology, have poor domain semantics and include modeling inconsistencies that hinders interoperability. Further, mere collection of provenance information is of little value without a well-defined and scalable query mechanism.

In this paper, we present 'PrOM', a framework that addresses both the modeling and querying issues in eScience …

Citizen Sensing, Social Signals, And Enriching Human Experience, Amit P. Sheth

Kno.e.sis Publications

In this article, I introduce the exciting paradigm of citizen sensing enabled by mobile sensors and human computing - that is, humans as citizens on the ubiquitous Web, acting as sensors and sharing their observations and views using mobile devices and Web 2.0 services.

Service Level Agreement In Cloud Computing, Pankesh Patel, Ajith H. Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS) attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of …

Characterization Of 1h Nmr Spectroscopic Data And The Generation Of Synthetic Validation Sets, Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. Delraso, Travis E. Doom

Kno.e.sis Publications

Motivation: Common contemporary practice within the nuclear magnetic resonance (NMR) metabolomics community is to evaluate and validate novel algorithms on empirical data or simplified simulated data. Empirical data captures the complex characteristics of experimental data, but the optimal or most correct analysis is unknown a priori; therefore, researchers are forced to rely on indirect performance metrics, which are of limited value. In order to achieve fair and complete analysis of competing techniques more exacting metrics are required. Thus, metabolomics researchers often evaluate their algorithms on simplified simulated data with a known answer. Unfortunately, the conclusions obtained on simulated data are …

User-Generated Content On Social Media Challenges, Opportunities, Meenakshi Nagarajan

Kno.e.sis Publications

Understanding and exploiting user generated (textual) content (UGC) on social media is at the forefront of information management challenges today. The variety of UGC in detailed blog commentaries, collaborative wiki-content, online conversations, short messages in micro-blogs etc., are powering several personalization, monetization, crowd/business intelligence applications, and also providing an electronic microscope on social phenomena at an extraordinary scale. Certain characteristics of UGC however, necessitate key computational linguistic interventions before systems can tap into this data. A large portion of language found on social media is in the Informal English domain a blend of abbreviations, slang and context dependent terms delivered …

Determining The Best K For Clustering Transactional Datasets: A Coverage Density-Based Approach, Hua Yan, Keke Chen, Ling Liu

Kno.e.sis Publications

The problem of determining the optimal number of clusters is important but mysterious in cluster analysis. In this paper, we propose a novel method to find a set of candidate optimal number Ks of clusters in transactional datasets. Concretely, we propose Transactional-cluster-modes Dissimilarity based on the concept of coverage density as an intuitive transactional inter-cluster dissimilarity measure. Based on the above measure, an agglomerative hierachical clustering algorithm is developed and the Merge Dissimilarity Indexes, which are generated in hierachical cluster merging processes, are used to find the candidate optimal number Ks of clusters of transactional data. Our experimental results on …