Physical Sciences and Mathematics Commons^™

Measuring Inconsistency For Description Logics Based On Paraconsistent Semantics, Yue Ma, Guilin Qi, Pascal Hitzler, Zuoquan Li

Computer Science and Engineering Faculty Publications

In this paper, we present an approach for measuring inconsistency in a knowledge base. We first define the degree of inconsistency using a four-valued semantics for the description logic ALC. Then an ordering over knowledge bases is given by considering their inconsistency degrees. Our measure of inconsistency can provide important information for inconsistency handling.

Phi Beta Delta: Implementation Of A Self-Maintaining Web Site, Pallavi Pillutla

Theses Digitization Project

The purpose of this project was to develop an easy-to-maintain web site for the Gamma Lambda Chapter of Phi Beta Delta International Honor Society here at California State University, San Bernardino, which will manage complete and up-to-date information about the mission, members, officers and all the activities of the honor society.

Network Syslog Monitor, Surender Reddy Gummadi

Theses Digitization Project

The purpose of this project to develope a network syslog monitoring system to monitor network devices like printers, switches, etc. and to help the network technical help desk personnel to handle issues promptly and effectively based on the syslog messages captured by the syslog server.

Creation Of A Web Site To Provide Technical Support And Training, Ricky Lee Hrdlicka

Theses Digitization Project

The project, presented in this paper, developed a web-based tool that provides training and technical support in the use of computers to employees at the San Bernardino Community College District. The purpose of this project was with the lack of one support system it has become necessary to create one place for support entities to share their expertise with one another and with the campus community. This project creates a web presence that all of these groups can contribute to. This system starts out small and creates a skeletal system that will allow for continued development after the project is …

Document Imaging Application, Ruchi Sukhija

Theses Digitization Project

The purpose of this project was to develop a document imaging application. By scanning the documents into an electronic repository, medical staff will be able to more easily store and locate these records. To make the application user friendly and facilitate staff access to patient medical records, the application is wed-based and uses the Oracle Application Server to implement a multitiered model.

On-Line Multimedia Management System, Yibin Jiang

Theses Digitization Project

Online Multimedia Management System (OMMS) is a project to provide users to store and share their mutimedia files. The users and administrator can modify and update the multimedia files and database information from a normal web browser. The administrator and users with access have different levels of permission.

Computer Science Graduate Project Management System, Jianyuan Huang

Theses Digitization Project

This project is a development and tracking system for graduate students in the Department of Computer Science of CSUSB. This project will cover front-end web site development, back-end database design and security. This website provides secure access to information about ideas for projects, status on on-going projects, and reports of finished projects using My SQL and Apache Tomcat.

R/3 Implementation Analysis In Various Industries, Paul Alan Rascoe

Theses Digitization Project

The purpose of this project was to analyze six companies in various industries that are currently using systems, applications, and products in data processing (SAP)'s R/3. It outlines the history of SAP and gives background on the companies including what they used before R/3, why they chose R/3, and some of the challenges involved with the changing over to R/3. The companies that were analyzed are Allegran Pharmaceuticals, Pacific Communications, Varian Incorporated, Northop-Grumman, Sempra Energy, and Goodrich. A comparison of the companies is done along with analysis on strategic motivators behind the change to R/3.

Ebay Learning Center System, Jessica Chen

Theses Digitization Project

The project developed eBay Learning Center System (ELCS), a web-based application that provides current and potential eBay users a way to learn about the many functions of the popular online auction and shopping web site and be successful eBay traders. ELCS provides end users with online tutorials, available both in multimedia and text formats, and methods of communicating with system administrators and other users by means of a message box and a discussion forum to facilitate learning and collaborative problem solving. The system employs current technologies such as SQL, HTML, ASP.NET, VBScript, XML, ODBC, and ADO.

Web-Based Geographic Information System For The Archives Of The Water Resources Institute, Wei Shi

Theses Digitization Project

This project is focused on the goal of improving access to the Water Resources Institute (WRI) archives using a web-based GIS architecture. This project uses the newest version of ArcGIS Server as a method to support an internet-based map search environment, improved information management and data sharing.

Glycomics Project Overview, Satya S. Sahoo

Kno.e.sis Publications

No abstract provided.

Brief Announcement: Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu

Kno.e.sis Publications

No abstract provided.

Schema-Driven Relationship Extraction From Unstructured Text, Cartic Ramakrishnan

Kno.e.sis Publications

No abstract provided.

Semantically Annotating A Web Service, Kunal Verma, Amit P. Sheth

Kno.e.sis Publications

In the past few years, service-oriented architecture (SOA) has transitioned from a partially formed vision into a widely implemented paradigm, with Web services (WS) being the forerunners to implementing SOA-based solutions. But even though the current trend is to use Web services' standards-based nature to establish static connections between various components, businesses are starting to explore dynamic value-added propositions, such as reuse, interoperability, and agility.

Role Of Semantics In Autonomic & Adaptive Web Services And Processes, Amit P. Sheth

Kno.e.sis Publications

The emergence of Service Oriented Architectures (SOA) has created a new paradigm of loosely coupled distributed systems. In the METEOR-S project, we have studied the comprehensive role of semantics in all stages of the life cycle of service and process-- including annotation, publication, discovery, interoperability/data mediation, and composition. In 2002-2003, we had offered a broad framework of semantics consisting of four types:1) Data semantics, 2) Functional semantics, 3) Non-Functional semantics and 4) Execution semantics. This talk describes the need for the four types of semantics, its standards-based support through WSDL-S/SAWSDL, and the need for such semantic representation to dynamic and …

Beyond Sawsdl - A Game Plan For Broader Adoption Of Semantic Web Services, Amit P. Sheth

Kno.e.sis Publications

After a flurry of research activities led by the OWL-S, WSMO, SWSF, and WSDL-S groups, we now have taken the first concrete steps toward building a Semantic Web Services (SWS) based solution, in the form of a W3C candidate recommendation SAWSDL [http://www.w3.org/2002/ws/sawsdl/], associated tools and use cases, and initial applications [1]. Where do we go from here? Researchers among us may be fully convinced of the importance and benefit of adding semantics to Web services and impatient to see their research translated into technologies and adapted for real use. However, I believe we may need to be patient and do …

Sa-Rest: Semantically Interoperable And Easier-To-Use Services And Mashups, Amit P. Sheth, Karthik Gomadam, Jonathan Lathem

Kno.e.sis Publications

Services based on the representational state transfer (REST) paradigm, a lightweight implementation of a service-oriented architecture, have found even greater success than their heavyweight siblings, which are based on the Web Services Description Language (WSDL.) and SOAP. By using XML-based messaging, RESTful services can bring together discrete data from different services to create meaningful data sets; mashups such as these are extremely popular today.

From “Glycosyltransferase” To “Congenital Muscular Dystrophy”: Integrating Knowledge From Ncbi Entrez Gene And The Gene Ontology, Satya S. Sahoo, Kelly Zeng, Olivier Bodenreider, Amit P. Sheth

Kno.e.sis Publications

Entrez Gene (EG), Online Mendelian Inheritance in Man (OMIM) and the Gene Ontology (GO) are three complementary knowledge resources that can be used to correlate genomic data with disease information. However, bridging between genotype and phenotype through these resources currently requires manual effort or the development of customized software. In this paper, we argue that integrating EG and GO provides a robust and flexible solution to this problem. We demonstrate how the Resource Description Framework (RDF) developed for the Semantic Web can be used to represent and integrate these resources and enable seamless access to them as a unified resource. …

Survey Of Current Sensor Network Data Management Frameworks, Cory Henson, Satya S. Sahoo

Kno.e.sis Publications

No abstract provided.

What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain

Kno.e.sis Publications

Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. The outcome of the analytical process in these applications often hinges on uncovering and analyzing complex relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful in these applications. However, these analysis mechanisms are primarily intended for thematic relationships. We describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between …

Learning To Model Spatial Dependency: Semi-Supervised Discriminative Random Fields, Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner

Kno.e.sis Publications

We present a novel, semi-supervised approach to training discriminative random fields (DRFs) that efficiently exploits labeled and unlabeled training data to achieve improved accuracy in a variety of image processing tasks. We formulate DRF training as a form of MAP estimation that combines conditional loglikelihood on labeled data, given a data-dependent prior, with a conditional entropy regularizer defined on unlabeled data. Although the training objective is no longer concave, we develop an efficient local optimization procedure that produces classifiers that are more accurate than ones based on standard supervised DRF training. We then apply our semi-supervised approach to train DRFs …

Collecting Expertise Of Researchers For Finding Relevant Experts In A Peer-Review Setting, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar

Kno.e.sis Publications

We present ideas for determining the expertise of researchers across various areas of computer science and for finding relevant experts/reviewers in a peer review setting. We explain how Semantic Web techniques for data collection and data representation using ontologies can be used in addressing this specific 'ExpertFinder' problem.

Best Practices For Implementing Agile Methods: A Guide For Department Of Defense Software Developers, Ann L. Fruhling, Alvin E. Tarrell

Information Systems and Quantitative Analysis Faculty Publications

Traditional plan-driven software development has been widely used in the government because it's considered to be less risky, more consistent, and structured. But there has been a shift from this approach to Agile methods which are more flexible, resulting in fast releases by working in an incremental fashion to adapt to the reality of the changing or unclear requirements.

This report describes the Agile software development philosophy, methods, and best practices in launching software design projects using the Agile approach. It is targeted to Defense Department software developers because they face broad challenges in creating enterprise-wide information systems, where Agile …

Factors Influencing Speed Of Cancer Diagnosis In Rural Wa, Moyez Jiwa, Georgia Halkett, Samar Aoun, Hayley Arnet, Marthe Smith, Megan Pilkington, Cheryl Mcmullen

Research outputs pre 2011

Introduction: The speed of diagnosis impacts on prognosis and survival in all types of cancer. In most cases survival and prognosis are significantly worse in rural and remote Australian populations who have less access to diagnostic and therapeutic services than metropolitan communities in this country. Research suggests that in general delays in diagnosis were a factor of misdiagnosis, the confounding effect of existing conditions and delayed or misleading investigation of symptoms. The aim of this study is to further explore the factors that impact on the speed of diagnosis in rural Western Australia with direct reference to General Practitioners (GPs) …

Direct Code Access In Self-Organizing Neural Networks For Reinforcement Learning, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD-FALCON still relies on an iterative process to evaluate each available action in a decision cycle. To remove this deficiency, this paper presents a direct code access procedure whereby TD-FALCON conducts instantaneous searches for cognitive nodes that match with the current states and at the same time provide maximal reward values. Our comparative experiments show that TD-FALCON with direct code access produces comparable performance with the original TD-FALCON while improving significantly in computation efficiency and network complexity.

A Unified Approach To Retrieving Web Documents And Semantic Web Data, Trivikram Immaneni, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The Semantic Web seems to be evolving into a property-linked web of RDF data, conceptually divorced from (but physically housed in) the hyperlinked web of HTML documents. We discuss the Unified Web model that integrates the two webs and formalizes the structure and the semantics of interconnections between them. We also discuss the Hybrid Query Language which combines the Data and Information Retrieval techniques to provide a convenient and uniform way to retrieve data and documents from the Unified Web. We present the retrieval system SITAR and some preliminary results.

Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong

Kno.e.sis Publications

This paper addresses the maintenance of discovered frequent patterns when a batch of transactions are removed from the original dataset. We conduct an in-depth investigation on how the frequent pattern space evolves under transaction removal updates using the concept of equivalence classes. Inspired by the evolution analysis, an effective and exact algorithm TRUM is proposed to maintain frequent patterns. Experimental results demonstrate that our algorithm outperforms representative state-of-the-art algorithms.

Natural Language Processing And E-Government: Extracting Reusable Crime Report Information, Gondy A. Leroy, Alicia Iriberri '06

CGU Faculty Publications and Research

Crime reporting needs to be possible 24/7. Although 911 and tip-lines are the most publicized reporting mechanisms, several other options exist, ranging from in-person reporting to online submissions. Internet-based crime reporting systems allow victims and witnesses of crime to report incidents to police 24/7 from any location. However, these existing e-mail and text-based systems provide little support for witnesses' memory recall leading to reports with less information and lower accuracy. These systems also do not facilitate reuse and integration of the reported information with other information systems. We are developing an anonymous Online Crime Reporting System that is designed to …

A Classifier To Evaluate Language Specificity In Medical Documents, Trudi Miller '08, Gondy A. Leroy, Samir Chatterjee, Jie Fan, Brian Thoms '09

CGU Faculty Publications and Research

Consumer health information written by health care professionals is often inaccessible to the consumers it is written for. Traditional readability formulas examine syntactic features like sentence length and number of syllables, ignoring the target audience's grasp of the words themselves. The use of specialized vocabulary disrupts the understanding of patients with low reading skills, causing a decrease in comprehension. A naive Bayes classifier for three levels of increasing medical terminology specificity (consumer/patient, novice health learner, medical professional) was created with a lexicon generated from a representative medical corpus. Ninety-six percent accuracy in classification was attained. The classifier was then applied …

Predicting Crime Reporting With Decision Trees And The National Crime Victimization Survey, Gondy Leroy, Juliette Gutierrez '13

CGU Faculty Publications and Research

Crime reports are used by law enforcement to find criminals, prevent further violations, identify problems causing crimes and allocate government resources. Unfortunately, many crimes go unreported. This may lead to an incorrect crime picture and suboptimal responses to the existing situation. Our goal is to use a data mining approach to increase understanding of when crime is reported or not. An increased understanding could lead to new, more effective programs to fight crime or changes to existing programs. We use the National Crime Victimization Survey (NCVS) which comprises data collected from 45,000 households about incidents, victims, suspects and if the …