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Articles 481 - 510 of 2694

Full-Text Articles in Computer Sciences

Automatic Identification Of Interestingness In Biomedical Literature, Gaurish Anand Jan 2014

Automatic Identification Of Interestingness In Biomedical Literature, Gaurish Anand

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This thesis presents research on automatically identifying interestingness in a graph of semantic predications. Interestingness represents a subjective quality of information that represents its value in meeting a user's known or unknown retrieval needs. The perception of information as interesting requires a level of utility for the user as well as a balance between significant novelty and sufficient familiarity. It can also be influenced by additional factors such as unexpectedness or serendipity with recent experiences. The ability to identify interesting information facilitates the development of user-centered retrieval, especially in information semantic summarization and iterative, step-wise searching such as in discovery …

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Mining And Understanding Regret Tweets, Lu Zhou Jan 2014

Mining And Understanding Regret Tweets, Lu Zhou

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Inappropriate tweets may cause severe damages on the authors' reputation or privacy. However, many users do not realize until publishing them after a while. Once published, such tweets have lasting effects that may not be completely eliminated by simple deletion, because other users may have read them or third-party tweet analysis platforms have cached them. In this paper, we study the problem of identifying regret tweets for normal individual users, with the ultimate goal to reduce the occurrences of regret tweets. We develop a machine learning approach to extract a large collection of regret tweets from noisy deleted tweets. We …

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Amyna: A Security Generator And Performance Estimator Framework Against Memory-Based Attacks, Anna Trikalinou Jan 2014

Amyna: A Security Generator And Performance Estimator Framework Against Memory-Based Attacks, Anna Trikalinou

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As we become more and more dependent on computer networks, using them for everything from banking and investing to shopping and communicating, computer security has emerged to be an increasingly important concern, due to undesirable cyber-security attacks. Thus, in response to this issue many efforts have been made towards accurate and robust computer security protection; however, the general problem is very challenging, diverse and ever-changing and remains still open. In this PhD dissertation we offer protection on one of these cyber-security attacks, the memory-based attacks, caused by one of the most critical software errors according to the MITRE ranking. When …

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A Context-Driven Subgraph Model For Literature-Based Discovery, Delroy Huborn Cameron Jan 2014

A Context-Driven Subgraph Model For Literature-Based Discovery, Delroy Huborn Cameron

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Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature using the LBD paradigm, which influenced innovations in diagnosis, treatment, preventions and overall public health. However, much of the existing research on discovering hidden connections among concepts have used distributional statistics and graph-theoretic measures to capture implicit associations. Such metrics do not explicitly capture the semantics of hidden connections. Rather, they only allude to the existence of meaningful underlying associations. To gain in-depth insights into the meaning of hidden (and other) connections, complementary methods have …

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3-D Scene Reconstruction From Line Correspondences Between Multiple Views, Michael Linger Jan 2014

3-D Scene Reconstruction From Line Correspondences Between Multiple Views, Michael Linger

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Three-dimensional scene reconstruction from 2-D images has many applications, such as surveillance, mission planning, autonomous navigation systems, cartography, and target recognition. Of specific interest to this research is the reconstruction of urban scenes containing man-made structures, such as roads and buildings, to support the burgeoning surveillance industry. Using 3-D maps to augment existing mission planning cartography products (DTED/SRTM, CADRG, CIB), mission and event planners will be able to compute strategic line-of-sight coverage for threat avoidance or threat prosecution. Forensic video analysts can use these models to recreate crime scenes, while law enforcement can build flight plans to minimize occlusions from …

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Automatic Domain Identification For Linked Open Data, Sarasi Lalithsena, Pascal Hitzler, Amit P. Sheth, Prateek Jain Nov 2013

Automatic Domain Identification For Linked Open Data, Sarasi Lalithsena, Pascal Hitzler, Amit P. Sheth, Prateek Jain

Kno.e.sis Publications

Linked Open Data (LOD) has emerged as one of the largest collections of interlinked structured datasets on the Web. Although the adoption of such datasets for applications is increasing, identifying relevant datasets for a specific task or topic is still challenging. As an initial step to make such identification easier, we provide an approach to automatically identify the topic domains of given datasets. Our method utilizes existing knowledge sources, more specifically Freebase, and we present an evaluation which validates the topic domains we can identify with our system. Furthermore, we evaluate the effectiveness of identified topic domains for the purpose …

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Semantics-Empowered Big Data Processing With Applications, Krishnaprasad Thirunarayan, Amit P. Sheth Nov 2013

Semantics-Empowered Big Data Processing With Applications, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big Data that arises in the context of Physical-Cyber-Social Systems. We organize our research around the Five Vs of Big Data, where four of the Vs are harnessed to produce the fifth V - value. To handle the challenge of Volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision-making. To handle the challenge of Variety, we resort to the use of semantic models and annotations of data so that much of the intelligent processing …

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Thoughts On The Complex Relation Between Linked Data, Semantic Annotations, And Ontologies, Krzysztof Janowicz, Pascal Hitzler Oct 2013

Thoughts On The Complex Relation Between Linked Data, Semantic Annotations, And Ontologies, Krzysztof Janowicz, Pascal Hitzler

Computer Science and Engineering Faculty Publications

The relation between data, annotations, and schemata seems straightforward at first: Data are annotated with additional meta information according to some schemata in order to expose additional non-intrinsic characteristics relevant to the meaningful interpretation of said data. However, on closer examination, things are not as simple. Focusing on geo-information retrieval, we will try to disentangle the aforementioned relations. We will report from our own experience and from observations gathered by editing papers about ontologies and Linked Data for the Semantic Web journal.

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Linked Scientometrics: Designing Interactive Scientometrics With Linked Data And Semantic Web Reasoning, Grant Mckenzie, Krzysztof Janowicz, Yingjie Hu, Kunal Sengupta, Pascal Hitzler Oct 2013

Linked Scientometrics: Designing Interactive Scientometrics With Linked Data And Semantic Web Reasoning, Grant Mckenzie, Krzysztof Janowicz, Yingjie Hu, Kunal Sengupta, Pascal Hitzler

Computer Science and Engineering Faculty Publications

In this demo paper we introduce a Linked Data-driven, Semantically-enabled Journal Portal (SEJP) that offers a variety of interactive scientometrics modules. SEJP allows editors, reviewers, authors, and readers to explore and analyze (meta)data published by a journal. Besides Linked Data created from the journal's internal data, SEJP also links out to other sources and includes them to develop more powerful modules. These modules range from simple descriptive statistics, over the spatial analysis of visitors and authors, to topic trending modules. While SEJP will be available for multiple journals, this paper shows its deployment to the Semantic Web journal by IOS …

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D-Sparq: Distributed, Scalable And Efficient Rdf Query Engine, Raghava Mutharaju, Sherif Sakr, Alessandra Sala, Pascal Hitzler Oct 2013

D-Sparq: Distributed, Scalable And Efficient Rdf Query Engine, Raghava Mutharaju, Sherif Sakr, Alessandra Sala, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We present D-SPARQ, a distributed RDF query engine that combines the MapReduce processing framework with a NoSQL distributed data store, MongoDB. The performance of processing SPARQL queries mainly depends on the efficiency of handling the join operations between the RDF triple patterns. Our system features two unique characteristics that enable efficiently tackling this challenge: 1) Identifying specific patterns of the input queries that enable improving the performance by running different parts of the query in a parallel mode. 2) Using the triple selectivity information for reordering the individual triples of the input query within the identified query patterns. The preliminary …

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Editing R2rml Mappings Made Easy, Kunal Sengupta, Peter Haase, Michael Schmidt, Pascal Hitzler Oct 2013

Editing R2rml Mappings Made Easy, Kunal Sengupta, Peter Haase, Michael Schmidt, Pascal Hitzler

Computer Science and Engineering Faculty Publications

The new W3C standard R2RML3 defines a language for ex- pressing mappings from relational databases to RDF, allowing applications built on top of the W3C Semantic Technology stack to seamlessly integrate relational data. A major obstacle in using R2RML, though, is the creation and maintenance of mappings. In this demo, we present a novel R2RML mapping editor which provides a user interface to create and edit mappings interactively even for non-experts.

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Distel: A Distributed El+ Ontology Classifier, Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti Oct 2013

Distel: A Distributed El+ Ontology Classifier, Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti

Computer Science and Engineering Faculty Publications

OWL 2 EL ontologies are used to model and reason over data from diverse domains such as biomedicine, geography and road traffic. Data in these domains is increasing at a rate quicker than the increase in main memory and computation power of a single machine. Recent efforts in OWL reasoning algorithms lead to the decrease in classification time from several hours to a few seconds even for large ontologies like SNOMED CT. This is especially true for ontologies in the description logic EL+ (a fragment of the OWL 2 EL profile). Reasoners such as Pellet, Hermit, ELK etc. make …

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Stringsauto And Mapsss Results For Oaei 2013, Michelle Cheatham, Pascal Hitzler Oct 2013

Stringsauto And Mapsss Results For Oaei 2013, Michelle Cheatham, Pascal Hitzler

Computer Science and Engineering Faculty Publications

StringsAuto and MapSSS are two closely related ontology alignment systems. The StringsAuto matcher seeks to explore the limits of a syntactic-only approach to alignment. The MapSSS system then expands on this work by embedding the syntactic matching of StringsAuto within a more complete alignment system that also makes use of semantic and structural information. In this paper we describe the basic operation of the two systems and discuss their performance in the OAEI 2013 evaluation.

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City Notifications As A Data Source For Traffic Management, Pramod Anantharam, Biplav Srivastava Oct 2013

City Notifications As A Data Source For Traffic Management, Pramod Anantharam, Biplav Srivastava

Kno.e.sis Publications

A common problem for cities of developing countries like India in managing traffic is the lack of basic automated instrumentation to track road conditions or vehicle locations. Still, to help their citizens make informed travel decisions based on changing city dynamics; many cities have an authorized, city-initiated, notification service in place to alert subscribing commuters about road conditions. Here, alternative means may be used to create informal textual notifications e.g., inputs from field personnel, citizen updates, and pre-authorized events from city calendar. In this paper, we show that collections of such notifications, when processed with information extraction techniques, can turn …

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A Linked-Data-Driven And Semantically-Enabled Journal Portal For Scientometrics, Yingjie Hu, Krzysztof Janowicz, Grant Mckenzie, Kunal Sengupta Oct 2013

A Linked-Data-Driven And Semantically-Enabled Journal Portal For Scientometrics, Yingjie Hu, Krzysztof Janowicz, Grant Mckenzie, Kunal Sengupta

Computer Science and Engineering Faculty Publications

The Semantic Web journal by IOS Press follows a unique open and transparent process during which each submitted manuscript is available online together with the full history of its successive decision statuses, assigned editors, solicited and voluntary reviewers, their full text reviews, and in many cases also the authors’ response letters. Combined with a highly-customized, Drupal-based journal management system, this provides the journal with semantically rich manuscript time lines and networked data about authors, reviewers, and editors. These data are now exposed using a SPARQL endpoint, an extended Bibo ontology, and a modular Linked Data portal that provides interactive scientometrics …

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String Similarity Metrics For Ontology Alignment, Michelle Cheatham, Pascal Hitzler Oct 2013

String Similarity Metrics For Ontology Alignment, Michelle Cheatham, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Ontology alignment is an important part of enabling the semantic web to reach its full potential. The vast majority of ontology alignment systems use one or more string similarity metrics, but often the choice of which metrics to use is not given much attention. In this work we evaluate a wide range of such metrics, along with string pre-processing strategies such as removing stop words and considering synonyms, on different types of ontologies. We also present a set of guidelines on when to use which metric. We furthermore show that if optimal string similarity metrics are chosen, those alone can …

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Ceg 7350-01: Computer Architecture, Soon M. Chung Oct 2013

Ceg 7350-01: Computer Architecture, Soon M. Chung

Computer Science & Engineering Syllabi

Review of sequential computer architecture and study of parallel computers.
Topics include memory hierarchy, reduced instruction set computer, pipeline
processing, multiprocessing, various parallel computers, and interconnection networks.

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Ceg 7550-01: Computer Vision, Arthur A. Goshtasby Oct 2013

Ceg 7550-01: Computer Vision, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course covers basic algorithms for low-level, mid-level, and high-level vision. The algorithms deal with edge detection and image segmentation, feature extraction and matching, and object recognition.

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Ceg 2400-01: Introduction To Pc Networks, Jerry Hensley Oct 2013

Ceg 2400-01: Introduction To Pc Networks, Jerry Hensley

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.

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Ceg 4330/6300-02: Microprocessor-Based Embedded Systems, Jack Jean Oct 2013

Ceg 4330/6300-02: Microprocessor-Based Embedded Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 4110/6110-01: Introduction To Software Computer Engineering, Junjie Zhang Oct 2013

Ceg 4110/6110-01: Introduction To Software Computer Engineering, Junjie Zhang

Computer Science & Engineering Syllabi

This course will focus on discussing the principles and techniques used in software engineering. It will cover the essential topics including UML, Requirements Elicitation, Analysis, System Design, Object Design, and Testing. In addition, we will discuss common security practices in the software engineering framework. This class is targeted at both undergraduate and graduate students who have adequate background in computer science, computer engineering, or related areas. Students who successfully complete this course will be capable of effectively participating in software engineering activities.

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Ceg 4400/6400-01: Computer Networks And Security, Bin Wang Oct 2013

Ceg 4400/6400-01: Computer Networks And Security, Bin Wang

Computer Science & Engineering Syllabi

This course provides an introduction to basic concepts of communication networks and network security, different types of networks, protocols over different layers, applications, and security issues, through lectures, labs, homework, and reading on relevant materials. You will
•Understand networking principles, protocols, and technologies.
•Understand design and performance issues involved in providing network
services.
•Acquire background for supporting e-commerce, e-government, and e-education.
•Gain hands-on experiences through implementation of simple network
protocols.
•Preparation for research or taking advanced courses in computer networks and
security.

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Ceg 4420/6420-01: Host Computer Security, Prabhaker Mateti Oct 2013

Ceg 4420/6420-01: Host Computer Security, Prabhaker Mateti

Computer Science & Engineering Syllabi

This course introduces security hardening of a single system, and how to protect it when connected to a network. It explains how malware can compromise security and privacy from the moment a machine is powered on until shut down. Topics include Privilege Escalation, Buffer Overruns, Network Packet Mangling, Session Hijacking, Firewalls, and ethics. Lab work uses tools such as nmap and Kali (BackTrack) Linux. Prerequisites: CEG4350

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Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll Oct 2013

Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will have learnt techniques for constructing 2-D and 3-D objects as well as manipulating and rendering the objects using OpenGL
The outline of the course is as follows:
• Introduction
• Geometric primitives
• Attributes of geometric primitives
• Antialiasing techniques
• Homogeneous coordinate system
• 2-D and 3-D viewing transformations
• Structures and hierarchical modeling
• Input devices and interactive techniques
• Visible surface detection methods
• Three-Dimensional Object Representations (chapter 8)
• Visible-Surface Detection (chapter 9)
• Illumination Models and Surface-Rendering Methods (chapter 10)
• Interactive Input Methods and Graphics User …

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Ceg 4980/4981-01: Team Projects I And Ii, John C. Gallagher Oct 2013

Ceg 4980/4981-01: Team Projects I And Ii, John C. Gallagher

Computer Science & Engineering Syllabi

CEO 4980/4981 (Team Projects I and 11) is a summative computer science and engineering design project course that builds upon previous computer science, computer engineering, science, mathematics and communications course work. CS 4980/4981 projects arc two semesters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and/or other faculty advisors and are tailored to student interest and the specific degree program (BSCS or BSCE) of each student. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality …

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Ceg 7200-01: Information Security, Meilin Liu Oct 2013

Ceg 7200-01: Information Security, Meilin Liu

Computer Science & Engineering Syllabi

This course gives a comprehensive study of security vulnerabilities· in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Data Encryption Standard; Advanced Encryption Standard; Hashing functions and data integrity; Basic Number Theory; Public-key encryption (RSA); Digital signature; Security standards and applications; Access Control; Management and analysis of security. After taking this course, students will have the knowledge of several well-known security standards and their applications; and the students should be able to increase system security and develop secure applications.

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Ceg 2170-01: Introduction To C Programming For Engineers, Shaojun Wang Oct 2013

Ceg 2170-01: Introduction To C Programming For Engineers, Shaojun Wang

Computer Science & Engineering Syllabi

Basic engineering problem solving using the C programming language. Topics include loops, selection, input/output, files, functions, arrays, complex variables, pointers, structures, and dynamic memory. Students will learn how to approach solving problems in engineering and science; how to develop algorithms, using advanced techniques such as recursion, searching, s01ting and linked lists, to solve those problems; and how to implement those algorithms in the C language.

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Ceg 4350/6350-01: Os Internals And Design, Soon M. Chung Oct 2013

Ceg 4350/6350-01: Os Internals And Design, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction to basic concepts of operating systems, including process and thread management, CPU scheduling, process synchronization, memory management, file systems.

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Ceg 7370-01: Distributed Computing, Yong Pei Oct 2013

Ceg 7370-01: Distributed Computing, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 3320-01: Digital System Design, Travis E. Doom Oct 2013

Ceg 3320-01: Digital System Design, Travis E. Doom

Computer Science & Engineering Syllabi

Basics of Digital Computer Hardware and Design. Topics include switching algebra and switching functions, logic design of combinational and sequential circuits, storage elements, register-level design, and instrumentation. 3 hours lecture, 1 credit hour lab.

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