Databases and Information Systems Commons^™

Filling Preposition-Based Templates To Capture Information From Medical Abstracts, Gondy Leroy, Hsinchun Chen

CGU Faculty Publications and Research

Due to the recent explosion of information in the biomedical field, it is hard for a single researcher to review the complex network involving genes, proteins, and interactions. We are currently building GeneScene, a toolkit that will assist researchers in reviewing existing literature, and report on the first phase in our development effort: extracting the relevant information from medical abstracts. We are developing a medical parser that extracts information, fills basic prepositional-based templates, and combines the templates to capture the underlying sentence logic. We tested our parser on 50 unseen abstracts and found that it extracted 246 templates with a …

Characterizing Logic Programming Semantics With Level Mappings, Pascal Hitzler, Matthias Wendt

Computer Science and Engineering Faculty Publications

Declarative semantics in logic programming and nonmonotonic reasoning are often defined via fixed points of semantic operators. While many relationships between different semantics known from the literature have been studied, a uniform treatment is still missing. In this paper, we provide uniform operator-free characterizations for some of the most important semantics, more precisely, for the stable, the well-founded, and the Fitting semantics, for the weakly-perfect model semantics, and for the least model semantics for negation-free programs.

The Fixed-Point Theorems Of Priess-Crampe And Ribenboim In Logic Programming, Pascal Hitzler, Anthony K. Seda

Computer Science and Engineering Faculty Publications

Sibylla Priess-Crampe and Paulo Ribenboim recently established a general fixed-point theorem for multivalued mappings defined on generalized ultrametric spaces, and introduced it to the area of logic programming semantics. We discuss, in this context, the applications which have been made so far of this theorem and of its corollaries. In particular, we will relate these results to Scott-Ershov domains, familiar in programming language semantics, and to the generalized metrics of Khamsi, Kreinovich, and Misane which have been applied, by these latter authors, to logic programming. Amongst other things, we will also show that a unified treatment of the fixed-point theory …

Data Warehouse Applications In Modern Day Business, Carla Mounir Issa

Theses Digitization Project

Data warehousing provides organizations with strategic tools to achieve the competitive advantage that organazations are constantly seeking. The use of tools such as data mining, indexing and summaries enables management to retrieve information and perform thorough analysis, planning and forcasting to meet the changes in the market environment. in addition, The data warehouse is providing security measures that, if properly implemented and planned, are helping organizations ensure that their data quality and validity remain intact.

Managing Semantic Content For The Web, Amit P. Sheth, Clemens Bertram, David Avant, Brian Hammond, Krzysztof Kochut, Yashodhan Warke

Kno.e.sis Publications

By associating meaning with content, the Semantic Web will facilitate search, interoperability, and the composition of complex applications. A recent Scientific American article described the Semantic Web as 'an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.' Not long ago, researchers at a Stanford University symposium predicted that this second phase of the Web would be as revolutionary as the Web itself.

Predicting Oral Reading Miscues, Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang

Kno.e.sis Publications

This paper explores the problem of predicting specific reading mistakes, called miscues, on a given word. Characterizing likely miscues tells an automated reading tutor what to anticipate, detect, and remediate. As training and test data, we use a database of over 100,000 miscues transcribed by University of Colorado researchers. We explore approaches that exploit different sources of predictive power: the uneven distribution of words in text, and the fact that most miscues are real words. We compare the approaches’ ability to predict miscues of other readers on other text. A simple rote method does best on the most frequent 100 …

Workflow Quality Of Service, Jorge Cardoso, Amit P. Sheth, John A. Miller

Kno.e.sis Publications

Workflow management systems (WfMSs) have been used to support various types of business processes for more than a decade now. In ecommerce processes, suppliers and customers define a binding agreement or contract between the two parties, specifying quality of service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of service. Management of such QoS directly impacts success of organizations participating in e-commerce. Organizations operating in modern markets require an excellent degree of quality of service management. Products and services must be available to customers with well-defined specifications. A good management of quality …

Ilp Operators For Propositional Connectionist Networks, Miguel Angel Gutierrez-Naranjo, Pascal Hitzler

Computer Science and Engineering Faculty Publications

No abstract provided.

Towards Nonmonotonic Reasoning On Hierarchical Knowledge, Pascal Hitzler

Computer Science and Engineering Faculty Publications

W.C. Rounds and G.Q. Zhang have recently proposed to study a form of disjunctive logic programming generalized to algebraic domains [RZ01]. This system allows reasoning with information which is hierarchically structured and forms a (suitable) domain. We extend this framework to include reasoning with negative information, i.e. the implicit or explicit absence of bits of information. These investigations will naturally lead to a form of default reasoning which is strongly related to programming with answer sets to stable models, which has recently created much interest amongst artificial intelligence researchers concerned with knowledge representation and reasoning.

A Proposed Undergraduate Bioinformatics Curriculum For Computer Scientists, Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia

Kno.e.sis Publications

Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the the artificial intelligence, database, and algorithms disciplines of computer science. Largely because of the inherently interdisciplinary nature of bioinformatics research, academia has been slow to respond to strong industry and government demands for trained scientists to develop and apply novel bioinformatics techniques to the rapidly-growing, freely-available repositories of genetic and proteomic data. While some institutions are responding to this demand by establishing graduate programs in bioinformatics, the entrance barriers for these programs are high, largely due to …

Multi-Dimensional Regression Analysis Of Time-Series Data Streams, Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang

Kno.e.sis Publications

Real-time production systems and other dynamic environments often generate tremendous (potentially infinite) amount of stream data; the volume of data is too huge to be stored on disks or scanned multiple times. Can we perform on-line, multi-dimensional analysis and data mining of such data to alert people about dramatic changes of situations and to initiate timely, high-quality responses? This is a challenging task.

In this paper, we investigate methods for online, multi-dimensional regression analysis of time-series stream data, with the following contributions: (1) our analysis shows that only a small number of compressed regression measures instead of the complete stream …

Pricing And Product Mix Optimization In Freight Transportation, Michael F. Gorman

MIS/OM/DS Faculty Publications

We propose improved pricing and market mix can improve the profitability of the freight transportation provider through the reduction of equipment repositioning costs. We hypothesize that because of complexities surrounding pricing and equipment repositioning costing, existing pricing strategies in freight transportation fail to fully consider these costs. We test this hypothesis in an applied setting in which Monte Carlo simulation captures the stochasticity of market conditions inherent in the problem. We use a heuristic to improve the nondifferentiable, discontinuous objective function.

Our results from test cases show with high confidence that current prices are not optimal, as indicated by a …

Xml-Based Modeling And Simulation: Web Service Technologies And Their Synergy With Simulation, Senthilanand Chandrasekaran, Gregory S. Silver, John A. Miller, Jorge Cardoso, Amit P. Sheth

Kno.e.sis Publications

The World Wide Web has had an huge influence on the computing field in general as well as simulation in particular (e.g., Web-based simulation). A new wave of development based upon XML has started. Two of the most interesting aspects of this development are the Semantic Web and Web services. This paper examines the synergy between Web service technology and simulation. In one direction, Web service processes can be simulated for the purpose of correcting/improving the design. In the other direction, simulation models/components can be built out of Web services. Work on seamlessly using simulation as a part of Web …

Authorization And Access Control Of Application Data In Workflow Systems, Shengli Wu, Amit P. Sheth, John A. Miller, Zongwei Luo

Kno.e.sis Publications

Workflow Management Systems (WfMSs) are used to support the modeling and coordinated execution of business processes within an organization or across organizational boundaries. Although some research efforts have addressed requirements for authorization and access control for workflow systems, little attention has been paid to the requirements as they apply to application data accessed or managed by WfMSs. In this paper, we discuss key access control requirements for application data in workflow applications using examples from the healthcare domain, introduce a classification of application data used in workflow systems by analyzing their sources, and then propose a comprehensive data authorization and …

The Latent Maximum Entropy Principle, Shaojun Wang, Ronald Rosenfeld, Yunxin Zhao, Dale Schuurmans

Kno.e.sis Publications

We present an extension of Jaynes' maximum entropy principle to handle latent variables. We use an EM algorithm that incorporates nested iterative scaling to approximately calculate maximum entropy solutions for this principle, and give a proof of its convergence.

An Empirical Analysis Of Electronic Data Interchange (Edi) Implementation Benefits In Kentucky Small- And Medium-Sized Enterprises: Some Implications For New It Implementation, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

This paper reports that the benefits accrued from implementing and integrating Electronic Data Interchange (EDI) within small and medium-sized enterprises (SMEs) can be conceptualized into two factors. First, firms derive operational/tactical benefits by predominantly focusing on increasing internal utility of this technology. Second, firms derive strategic benefits from EDI in the form of better external relationships and alliances with trading partners and an enhanced ability to compete in their market. Among other significant findings, there are clear indications from the correlation statistics reported here that experience with EDI, industrial category of a firm and the level of ED! integral ton …

Anatomy Of A Coupling Query In A Web Warehouse, Sourav S. Bhowmick, Sanjay Kumar Madria, Wee-Keong Ng, Ee Peng Lim

Research Collection School Of Computing and Information Systems

To populate a data warehouse specifically designed for Web data, i.e. web warehouse, it is imperative to harness relevant documents from the Web. In this paper, we describe a query mechanism called coupling query to glean relevant Web data in the context of our web warehousing system called Warehouse Of Web Data (WHOWEDA). Coupling query may be used for querying both HTML and XML documents. Some of the important features of our query mechanism are ability to query metadata, content, internal and external (hyperlink) structure of Web documents based on partial knowledge, ability to express constraints on tag attributes and …

Component-Based Development Using Uml, L. Zhao, Keng Siau

Research Collection School Of Computing and Information Systems

Component-based software development (CBD) is a potential breakthrough for software engineering. Unified Modeling Language (UML) can potentially facilitate CBD design and modeling. Although many research projects concentrate on the conceptual interrelation of UML and CBD, few incorporate actual component frameworks into the discussion, which is critical for real-world software system design and modeling. This paper reviews component-based development, including the use of UML for modeling CBD. The paper then discusses the means by which UML extension mechanisms can be used to better support the popular component framework -- CORBA. Two other important component frameworks, DCOM and Web Services, are also …

Enabling Technologies For E-Commerce And Erp Integration, Keng Siau, Jake Messersmith

Research Collection School Of Computing and Information Systems

Focuses on a study which analyzed the enabling technologies for integrating Enterprise Resource Planning (ERP) and e-business. Difficulties in integrating ERP and e-business; Architecture supporting ERP and e-commerce; Model for integrating ERP and e-business.

Knowledge Management Mechanisms In E-Commerce: A Study Of Online Retailing And Auction Sites, Fiona Fui-Hoon Nah, Keng Siau, Yuhong Tian, Min Ling

Research Collection School Of Computing and Information Systems

Knowledge management is vital to a company's success in this e-commerce era. Not only has the topic of knowledge management attracted much research attention lately, but the management of customer knowledge is also becoming increasingly important. Despite its significance, few research studies have systematically investigated knowledge management in the e-commerce context. None of the studies we reviewed looked at how knowledge management mechanisms were employed in e-commerce. This research presents a comprehensive analysis of the knowledge management mechanisms employed by 14 e-commerce sites that were rated as being the best by Gomez.com, an independent Internet quality measurement firm. Specifically, we …

Acceptable Internet Use Policy, Keng Siau, Fiona Fui-Hoon Nah, Limei Teng

Research Collection School Of Computing and Information Systems

Surveying use policies of three organizations--- educational institutions, ISPs, and non-ISPs.

Community Banking In The E-Business Era, Peter Southard, Keng Siau

Research Collection School Of Computing and Information Systems

This paper reviews how existing and potential uses of Internet technology can generate a competitive advantage for rural community banks. To do so, it offers a framework for analyzing Internet technology investment decisions. Organizations in this segment of the banking industry are often more removed from centers of technology and have traditionally been more conservative in their approaches to information technology (among other things). Banking Associations have developed in the U.S., such as the Independent Bankers Association, to try and help community banks coordinate marketing, legislative, and other issues that they have in common. The use of Internet technology can …

Internet Usage Among Medical Doctors In Malaysia, Surendran Jaganathan

Student Works (2000-2009)

In Malaysia, there were 20,000 Internet subscribers in 1996, 1.5 Million in 2000 and it is predicted to reach 4.5 Million in 2004. Malaysia is experiencing an explosive growth of Internet users. There is also a growing importance of "e -health businesses" as shown in the existing 20,000 healthcare sites currently online with an additional 1,500 sites being added every month. This translates to increasing healthcare site users for instance in America alone, out of 11 o million Internet users, 70 million searched the Web for health information. For healthcare consumers worldwide, the Internet has now become a tool for …

Federating Heterogeneous Digital Libraries By Metadata Harvesting, Xiaoming Liu

Computer Science Theses & Dissertations

This dissertation studies the challenges and issues faced in federating heterogeneous digital libraries (DLs) by metadata harvesting. The objective of federation is to provide high-level services (e.g. transparent search across all DLs) on the collective metadata from different digital libraries. There are two main approaches to federate DLs: distributed searching approach and harvesting approach. As the distributed searching approach replies on executing queries to digital libraries in real time, it has problems with scalability. The difficulty of creating a distributed searching service for a large federation is the motivation behind Open Archives Initiatives Protocols for Metadata Harvesting (OAI-PMH). OAI-PMH supports …

Application Of Extensive Markup Language (Xml) For Shipping Companies, Bala Vithoba Meshram

World Maritime University Dissertations

No abstract provided.

Meeting Medical Terminology Needs: The Ontology-Enhanced Medical Concept Mapper, Gondy Leroy, Hsinchun Chen

CGU Faculty Publications and Research

This paper describes the development and testing of the Medical Concept Mapper, a tool designed to facilitate access to online medical information sources by providing users with appropriate medical search terms for their personal queries. Our system is valuable for patients whose knowledge of medical vocabularies is inadequate to find the desired information, and for medical experts who search for information outside their field of expertise. The Medical Concept Mapper maps synonyms and semantically related concepts to a user's query. The system is unique because it integrates our natural language processing tool, i.e., the Arizona (AZ) Noun Phraser, with human-created …

Meeting Medical Terminology Needs: The Ontology-Enhanced Medical Concept Mapper, Gondy Leroy, Hsinchun Chen

CGU Faculty Publications and Research

This paper describes the development and testing of the Medical Concept Mapper, a tool designed to facilitate access to online medical information sources by providing users with appropriate medical search terms for their personal queries. Our system is valuable for patients whose knowledge of medical vocabularies is inadequate to find the desired information, and for medical experts who search for information outside their field of expertise. The Medical Concept Mapper maps synonyms and semantically related concepts to a user's query. The system is unique because it integrates our natural language processing tool, i.e., the Arizona (AZ) Noun Phraser, with human-created …

Characteristics Of Erp Software Maintenance: A Multiple Case Study, Fiona Fui-Hoon Nah, Silvana Faja, Teuta Cata

Research Collection School Of Computing and Information Systems

A multiple case study approach was employed to identify maintenance activities pertaining to enterprise resource planning (ERP) implementation, classify them into maintenance categories, and assess their relative frequency at various stages of the ERP maintenance lifecycle. Five maintenance categories (corrective, adaptive, perfective, preventive, user support) were identified from a review of the literature on software maintenance. A new category pertaining to ‘communication, coordination and knowledge exchange with external parties’ and herein labeled ‘external parties’ is introduced to highlight the supporting role of external parties in ERP maintenance. This category includes reporting problems to vendors and consultants, tracking their progress towards …

Automated Online News Classification With Personalization, Chee-Hong Chan, Aixin Sun, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training documents are given. In our research, we have applied SVM to personalized classification of online news.

Knowledge Discovery In Biological Datasets Using A Hybrid Bayes Classifier/Evolutionary Algorithm, Michael L. Raymer, Leslie A. Kuhn, William F. Punch

Kno.e.sis Publications

A key element of bioinformatics research is the extraction of meaningful information from large experimental data sets. Various approaches, including statistical and graph theoretical methods, data mining, and computational pattern recognition, have been applied to this task with varying degrees of success. We have previously shown that a genetic algorithm coupled with a k-nearest-neighbors classifier performs well in extracting information about protein-water binding from X-ray crystallographic protein structure data. Using a novel classifier based on the Bayes discriminant function, we present a hybrid algorithm that employs feature selection and extraction to isolate salient features from large biological data sets. The …