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Wright State University

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Articles 1171 - 1200 of 2694

Full-Text Articles in Computer Sciences

Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth Jan 2010

Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth

Kno.e.sis Publications

We present Twitris 2.0, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the systematic integration and analysis abilities.

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Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan Jan 2010

Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space. Our research focuses on exploiting the capabilities of the mobile and cloud landscape by defining a new class of applications called cloud mobile hybrid (CMH) applications and a Domain Specific …

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Semantic Web – Interoperability, Usability, Applicability, Pascal Hitzler, Krzysztof Janowicz Jan 2010

Semantic Web – Interoperability, Usability, Applicability, Pascal Hitzler, Krzysztof Janowicz

Computer Science and Engineering Faculty Publications

No abstract provided.

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Approximate Instance Retrieval On Ontologies, Tuvshintur Tserendorj, Stephan Grimm, Pascal Hitzler Jan 2010

Approximate Instance Retrieval On Ontologies, Tuvshintur Tserendorj, Stephan Grimm, Pascal Hitzler

Computer Science and Engineering Faculty Publications

With the development of more expressive description logics (DLs) for the Web Ontology Language OWL the question arises how we can properly deal with the high computational complexity for efficient reasoning. In application cases that require scalable reasoning with expressive ontologies, non-standard reasoning solutions such as approximate reasoning are necessary to tackle the intractability of reasoning in expressive DLs. In this paper, we are concerned with the approximation of the reasoning task of instance retrieval on DL knowledge bases, trading correctness of retrieval results for gain of speed. We introduce our notion of an approximate concept extension and we provide …

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Distributed Reasoning With El++ Using Mapreduce, Frederick Maier, Raghava Mutharaju, Pascal Hitzler Jan 2010

Distributed Reasoning With El++ Using Mapreduce, Frederick Maier, Raghava Mutharaju, Pascal Hitzler

Computer Science and Engineering Faculty Publications

It has recently been shown that the MapReduce framework for distributed computation can be used effectively for large-scale RDF Schema reasoning, computing the deductive closure of over a billion RDF triples within a reasonable time. Later work has carried this approach over to OWL Horst. In this paper, we provide a MapReduce algorithm for classifying knowledge bases in the description logic EL++, which is essentially the OWL 2 profile OWL 2 EL. The traditional EL++ classification algorithm is recast into a form compatible with MapReduce, and it is shown how the revised algorithm can be realized within …

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Semantics Centric Solutions For Application And Data Portability In Cloud Computing, Ajith Harshana Ranabahu, Amit P. Sheth Jan 2010

Semantics Centric Solutions For Application And Data Portability In Cloud Computing, Ajith Harshana Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of Cloud computing. The Cloud computing landscape, however, is plagued by many issues hindering adoption. One such issue is vendor lock-in, forcing the Cloud users to adhere to one service provider in terms of data and application logic. Semantic Web has been an important research area that has seen significant attention from both academic and industrial researchers. One key property of Semantic Web …

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A Reasonable Semantic Web, Pascal Hitzler, Frank Van Harmelen Jan 2010

A Reasonable Semantic Web, Pascal Hitzler, Frank Van Harmelen

Computer Science and Engineering Faculty Publications

The realization of Semantic Web reasoning is central to substantiating the Semantic Web vision. However, current mainstream research on this topic faces serious challenges, which forces us to question established lines of research and to rethink the underlying approaches. We argue that reasoning for the Semantic Web should be understood as "shared inference," which is not necessarily based on deductive methods. Model-theoretic semantics (and sound and complete reasoning based on it) functions as a gold standard, but applications dealing with large-scale and noisy data usually cannot afford the required runtimes. Approximate methods, including deductive ones, but also approaches based on …

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Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer Jan 2010

Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer

Kno.e.sis Publications

Genomic sequencing projects are an abundant source of information for biological studies ranging from the molecular to the ecological in scale; however, much of the information present may yet be hidden from casual analysis. One such information domain, trends in codon usage, can provide a wealth of information about an organism's genes and their expression. Degeneracy in the genetic code allows more than one triplet codon to code for the same amino acid, and usage of these codons is often biased such that one or more of these synonymous codons is preferred. Detection of this bias is an important tool …

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Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth Jan 2010

Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth

Kno.e.sis Publications

In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro-blogging data. We focus on users interested in analyzing social signals collectively for sensemaking. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies and a distributed publish subscribe protocol for real time communication. In addition, we discuss our method and application in a scenario related to the health care reform in the United States.

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Continuous Semantics To Analyze Real-Time Data, Amit P. Sheth, Christopher Thomas, Pankaj Mehra Jan 2010

Continuous Semantics To Analyze Real-Time Data, Amit P. Sheth, Christopher Thomas, Pankaj Mehra

Kno.e.sis Publications

Increasingly we are presented with dynamic domains involved in social, mobile, and sensor webs. Such domains are spontaneous (arising suddenly), follow a period of rapid evolution, involving real-time or near real-time data, involve many distributed participants and diverse viewpoints involving topical or contentious subjects, and involve feature context colored by local knowledge and sociocultural backgrounds. This article present continuous semantics can help us model such dynamic domains and analyze the related real-time data. Capabilities include crating dynamic domain model by mining social data, and using dynamic models for semantic analysis of real-time data.

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Cs 400-01: Data Structures And Software Design, Meilin Liu Jan 2010

Cs 400-01: Data Structures And Software Design, Meilin Liu

Computer Science & Engineering Syllabi

This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.

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Cs 241-02: Computer Programming - Ii, Michael Ondrasek Jan 2010

Cs 241-02: Computer Programming - Ii, Michael Ondrasek

Computer Science & Engineering Syllabi

The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.

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Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan Jan 2010

Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.

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Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler Jan 2010

Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler

Computer Science & Engineering Syllabi

Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research and industrial investigation. The central idea behind Semantic Web is to enhance data on the World Wide Web by so-called metadata, which describes the meaning (semantics) of the data and thus makes it available for processing in intelligent systems. In this course we cover in depth the standardized knowledge representation languages for expressing metadata, called ontology languages. We will in particular cover the Resource Description Framework RDF and the Web Ontology Language OWL, both of which are recommended standards by the World …

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Cs 240: Computer Programming I, Vanessa Starkey Jan 2010

Cs 240: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.

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Cs 241-01: Computer Programming Ii, Travis E. Doom Jan 2010

Cs 241-01: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.

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Cs 400/600-01: Data Structures And Software Design, Guozhu Dong Jan 2010

Cs 400/600-01: Data Structures And Software Design, Guozhu Dong

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 714-01: Machine Learning, Shaojun Wang Jan 2010

Cs 714-01: Machine Learning, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 242-01: Computer Programming Iii, Mateen M. Rizki Jan 2010

Cs 242-01: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 302-01: Introduction To Oracle/Sql Databases, Karen Meyer Jan 2010

Cs 302-01: Introduction To Oracle/Sql Databases, Karen Meyer

Computer Science & Engineering Syllabi

Relational client server database design and access techniques. Includes building database tables, writing SQL and PL/SQL statements and programs and developing user interfaces using forms and reports.

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Cs 701-01: Database Systems And Design, Soon M. Chung Jan 2010

Cs 701-01: Database Systems And Design, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of DB design concepts and operating principles of database systems.

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Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong Jan 2010

Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Logical and physical aspects of database management systems are surveyed. Data models including entity-relationship (ER) and relational models are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are studied. Students will gain experience in creating and manipulating a database, and gain knowledge on professional and ethical responsibility and on the importance of privacy/security of data.

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Cs 415-01: Social Implications Of Computing, Leo Finkelstein Jan 2010

Cs 415-01: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.

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Cs 771-01: Natural Language Processing Techniques, Shaojun Wang Jan 2010

Cs 771-01: Natural Language Processing Techniques, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer Jan 2010

Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan Jan 2010

Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course covers models for information retrieval, techniques for indexing and searching, and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing, link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.

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Ceg 402/602-01: Introduction To Computer Communication, Bin Wang Jan 2010

Ceg 402/602-01: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 725: Computer Vision Ii, Arthur A. Goshtasby Jan 2010

Ceg 725: Computer Vision Ii, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

In this course we will learn computer algorithms that interpret images. Some of the algorithms will be practiced through computer implementation.

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Ceg 860: Object-Oriented Programming, Krishnaprasad Thirunarayan Jan 2010

Ceg 860: Object-Oriented Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.

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Cs 416/616: Matrix Computations, Ronald F. Taylor Jan 2010

Cs 416/616: Matrix Computations, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as CIC++ or Fortran is very important. A basic knowledge of matrix algebra is …

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