Science and Technology Studies Commons^™

The 4 X 4 Semantic Model: Exploiting Data, Functional, Non-Functional And Execution Semantics Across Business Process, Workflow, Partner Services And Middleware Services Tiers, Amit P. Sheth, Karthik Gomadam

Kno.e.sis Publications

Business processes in the global environment increasingly encompass multiple partners and complex, rapidly changing requirements. In this context it is critical that strategic business objectives align with and map accurately to systems that support flexible and dynamic business processes. To support the demanding requirements of global business processes, we propose a comprehensive, unifying 4 X 4 Semantic Model that uses Semantic Templates to link four tiers of implementation with four types of semantics. The four tiers are the Business Process Tier, the Workflow Enactment Tier, the Partner Services Tier, and the Middleware Services Tier. The four types of semantics are …

Semantic Sensor Web, Amit P. Sheth, Cory Henson, Krishnaprasad Thirunarayan

Kno.e.sis Publications

No abstract provided.

Capturing Workflow Event Data For Monitoring, Performance Analysis, And Management Of Scientific Workflows, Matthew Valerio, Satya S. Sahoo, Roger Barga, Jared Jackson

Kno.e.sis Publications

To effectively support real-time monitoring and performance analysis of scientific workflow execution, varying levels of event data must be captured and made available to interested parties. This paper discusses the creation of an ontology-aware workflow monitoring system for use in the Trident system which utilizes a distributed publish/subscribe event model. The implementation of the publish/subscribe system is discussed and performance results are presented.

Growing Fields Of Interest: Using An Expand And Reduce Strategy For Domain Model Extraction, Christopher Thomas, Pankaj Mehra, Roger Brooks, Amit P. Sheth

Kno.e.sis Publications

Domain hierarchies are widely used as models underlying information retrieval tasks. Formal ontologies and taxonomies enrich such hierarchies further with properties and relationships associated with concepts and categories but require manual effort; therefore they are costly to maintain, and often stale. Folksonomies and vocabularies lack rich category structure and are almost entirely devoid of properties and relationships. Classification and extraction require the coverage of vocabularies and the alterability of folksonomies and can largely benefit from category relationships and other properties. With Doozer, a program for building conceptual models of information domains, we want to bridge the gap between the vocabularies …

Mixed Methods For Mixed Reality: Overcoming Methodological Challenges To Understand User Activities In Virtual Worlds, David F. Feldon, Yasmin B. Kafai

Instructional Technology and Learning Sciences Faculty Publications

This paper examines the use of mixed methods for analyzing users’ avatar-related activities in a virtual world. Server logs recorded keystroke-level activity for 595 participants over a six-month period in Whyville.net, an informal science website. Participants also completed surveys and participated in interviews regarding their experiences. Additionally, the study included online ethnographic observations of Whyville and offline observations of a subset of 88 users in classroom and after-school settings during their participation. A mixed-methods analysis identified a major user emphasis on avatar appearance and customization that was invariant across user typologies. Implications for the use of mixed methods in online …

A Study Of Antimicrobial Properties Of Fabric Treated With Silane And N-Halamine Complex, Sangeeta Yadav

Master's Theses and Doctoral Dissertations

The Dimethyl hydantoin (DMH) – Isocyanatopropyltriethoxysilane adduct was prepared and applied onto the fabric using pad – dry – pad – dry – cure method. The treated fabric is then chlorinated using NaOCl (6% and 10%) to impart the antimicrobial properties. The treated fabric surface and the chlorine percentage present at the surface of the fabric are evaluated using SEM- EDX and peak of NCO was determined using FTIR analysis. The fabrics were tested for antimicrobial properties using ATCC 2695 gram positive bacteria Staphylococcus aureus and ATCC 8739 gram negative bacteria Escherichia coli. The treated samples provided very good …

Relationship Web: Trailblazing, Analytics And Computing For Human Experience, Amit P. Sheth

Kno.e.sis Publications

This panel presentation was give at the 27th International Conference on Conceptual Modeling (ER 2008), Barcelona, Spain, October 20-23, 2008.

Ten Commandments Of Dvd Cataloging, Mary Konkel

Library Scholarship

No abstract provided.

Hi Business : Heady Success For Pizza Hut Sri Lanka

Halal Insight

No abstract provided.

Hi Features : Paiboon Interview President Of Ppao (Phuket Provincial Administrative Organization) Upattising

Halal Insight

No abstract provided.

Hi Events : Hal-Q Training:Six Years Of Halal Food Science

Halal Insight

No abstract provided.

Hi Health : Chikungunya Outbreak Hits Deep South, Anuttarasakdi Ratchatatat

Halal Insight

No abstract provided.

Hi Science : Profiling Dna With Pcr And Real-Time Pcr

Halal Insight

No abstract provided.

Hi News

Halal Insight

No abstract provided.

Hi Features : Fine Halal Dining In Phuket

Halal Insight

No abstract provided.

Hi Money : Thailand To Launch Islamic Index In Q2 2009:Better Late Than Never

Halal Insight

No abstract provided.

Hi Dining : Chocolate Birthday' Doctor Barid's Delicious Bakery Store

Halal Insight

No abstract provided.

Hi Features : Whasib 2009 Teams Up With Phuket Halal Expo 2009

Halal Insight

No abstract provided.

Hi Thai Muslims : Tracing The Path Of Muslims In Thailand, Kattiya Lemso

Halal Insight

No abstract provided.

Hi Faq : Halal Faqs:Frequently Asked Questions 'A Guide To Halal And Haram Food'

Halal Insight

No abstract provided.

Hi Features : Phuket Tourism Challenges And Opportunities Ahead

Halal Insight

No abstract provided.

Random Thoughts About Volume 34, 2008, And Some Insights Into Journal Production, Connie Foster

DLTS Faculty Publications

No abstract provided.

An Ontology-Driven Semantic Mash-Up Of Gene And Biological Pathway Information: Application To The Domain Of Nicotine Dependence, Satya S. Sahoo, Olivier Bodenreider, Joni L. Rutter, Karen J. Skinner, Amit P. Sheth

Kno.e.sis Publications

Objectives: This paper illustrates how Semantic Web technologies (especially RDF, OWL, and SPARQL) can support information integration and make it easy to create semantic mashups (semantically integrated resources). In the context of understanding the genetic basis of nicotine dependence, we integrate gene and pathway information and show how three complex biological queries can be answered by the integrated knowledge base.

Methods: We use an ontology-driven approach to integrate two gene resources (Entrez Gene and HomoloGene) and three pathway resources (KEGG, Reactome and BioCyc), for five organisms, including humans. We created the Entrez Knowledge Model (EKoM), an information model in OWL …

Google Tools: Google's Not Just For Searching Anymore, Jennifer Kelley

Library Scholarship

Learn how to use several of Google's free online tools and applications to write papers on the go, work on group projects from a distance, collect information from the internet automatically, and much more. After creating a Google account, attendees will learn how to set up a public calendar in Google Calendar, draft a document and collaborate using Google Documents and collect content from blogs and online news services using Google Reader.

Adapting Ranking Functions To User Preference, Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun

Kno.e.sis Publications

Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, which is expensive to get for training a satisfactory ranking function. The demands for generating specific web search ranking functions tailored for different domains, such as ranking functions for different regions, have aggravated this problem. Recently, a few methods have been proposed to extract training examples from user clickthrough log. Due to the low cost of getting user preference data, it is attractive to combine these examples in training ranking functions. However, because of the …

Description Logic Reasoning With Decision Diagrams: Compiling Shiq To Disjunctive Datalog, Sebastian Rudolph

Kno.e.sis Publications

We propose a novel method for reasoning in the description logic SHIQ. After a satisfiability preserving transformation from SHIQ to the description logic ALCIb, the obtained ALCIb Tbox T is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for T. This OBDD is turned into a disjunctive datalog program that can be used for Abox reasoning. The algorithm is worst-case optimal w.r.t. data complexity, and admits easy extensions with DL-safe rules and ground conjunctive queries.

Adolescent Literature And Second Life: Teaching Young Adult Texts In The Digital World, Laura Nicosia

Department of English Faculty Scholarship and Creative Works

No abstract provided.

Respect My Authoritay!, Mary Konkel

Library Scholarship

No abstract provided.

On The Road... In The Field: Response To The Library Of Congress Working Group On The Future Of Bibliographic Control, Mary Konkel

Library Scholarship

No abstract provided.

Segmenting Brain Tumors Using Pseudo-Conditional Random Fields, Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R.G. Brown, Russell Greiner

Kno.e.sis Publications

Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as either tumor or non-tumor, based on a description of that voxel. Unfortunately, standard classifiers, such as Logistic Regression (LR) and Support Vector Machines (SVM), typically have limited accuracy as they treat voxels as independent and identically distributed (iid). Approaches based on random fields, which are able to incorporate spatial constraints, have recently been applied to brain tumor segmentation with notable performance improvement over iid classifiers. However, previous random field systems involved computationally intractable …