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Articles 1801 - 1830 of 2694
Full-Text Articles in Computer Sciences
Sa-Rest: Semantically Interoperable And Easier-To-Use Services And Mashups, Amit P. Sheth, Karthik Gomadam, Jonathan Lathem
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.
Measuring Inconsistency For Description Logics Based On Paraconsistent Semantics, Yue Ma, Guilin Qi, Pascal Hitzler, Zuoquan Li
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.
Ceg 477/677-01: Computer Graphics Ii, John A. Reisner
Ceg 477/677-01: Computer Graphics Ii, John A. Reisner
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 210-01: Pc Networking I, Karen Meyer
Ceg 210-01: Pc Networking I, Karen Meyer
Computer Science & Engineering Syllabi
Introduction to PC networking hardware, concepts, and technologies. Focus is on LAN administration, hardware and software configuration.
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 260-01: Digital Computer Hardware, Sridhar Ramachandran
Ceg 260-01: Digital Computer Hardware, Sridhar Ramachandran
Computer Science & Engineering Syllabi
Digital Computer Hardware. Topics include switching algebra and switching functions, logic design of combinational and sequential circuits using TTL, combinational logic design with MSI and LSI, busing, storage elements, and instrumentation. 3 hours lecture, 2 hours lab. Prerequisite: CS 241.
Semantic Matchmaking Of Web Resources With Local Closed-World Reasoning, Stephan Grimm, Pascal Hitzler
Semantic Matchmaking Of Web Resources With Local Closed-World Reasoning, Stephan Grimm, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Ontology languages like OWL allow for semantically rich annotation of resources (e.g., products advertised at on-line electronic marketplaces). The description logic (DL) formalism underlying OWL provides reasoning techniques that perform match-making on such annotations. This paper identifies peculiarities in the use of DL inferences for matchmaking that derive from OWL's open-world semantics, analyzes local closed-world reasoning for its applicability to matchmaking, and investigates the suitability of two nonmonotonic extensions to DL, autoepistemic DLs and DLs with circumscription, for local closed-world reasoning in the matchmaking context. An elaborate example of an electronic marketplace for PC product catalogs from the e-commerce domain …
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
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. …
What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
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 …
Collecting Expertise Of Researchers For Finding Relevant Experts In A Peer-Review Setting, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar
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.
Brief Announcement: Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu
Brief Announcement: Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu
Kno.e.sis Publications
No abstract provided.
Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
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.
Ceg 498-01: Design Experience, Thomas C. Hartrum
Ceg 498-01: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Design Experience) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their collective efforts as reflected in group generated products.
Cs 208-01: Computer Programming For Business I, Dennis Kellermeier
Cs 208-01: Computer Programming For Business I, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 208 is the first of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming. This course assumes students have never written a program before.
Cs 241-01: Introduction To Computer Science Ii, Mateen M. Rizki
Cs 241-01: Introduction To Computer Science Ii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 142-01: Computer Programming Ii, Haiyun Bian
Cs 142-01: Computer Programming Ii, Haiyun Bian
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and exception handling. Student must register for both lecture and one lab section.
Cs 141-01: Computer Programming - I, Michael Ondrasek
Cs 141-01: Computer Programming - I, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.
Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheet database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 209 is the second of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming.
Cs 214-01: Visual Basic Programming, Michael Ondrasek
Cs 214-01: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.
Cs 241-01: Computer Science Ii, Eric Maston
Cs 241-01: Computer Science Ii, Eric Maston
Computer Science & Engineering Syllabi
This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.
Cs 242-01: Computer Science Iii, Eric Maston
Cs 242-01: Computer Science Iii, Eric Maston
Computer Science & Engineering Syllabi
This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues and tables.
Cs 240-01: Introduction To Computer Science I, Dale E. Nelson
Cs 240-01: Introduction To Computer Science I, Dale E. Nelson
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-02, 03: Introduction To Computer Science Ii, Haiyun Bian
Cs 241-02, 03: Introduction To Computer Science Ii, Haiyun Bian
Computer Science & Engineering Syllabi
This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 415-01: Social Implications Of Computing, Leo Finkelstein
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.
Cs 701-01: Database Systems And Design, Soon M. Chung
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.
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 790-02: Advanced Data Mining, Guozhu Dong
Cs 790-02: Advanced Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
In this course we will cover advanced topics in data mining. We will study some classic papers as well as some important recent papers, on different types of applications, in this fast evolving field. Topics include: sequence mining, text mining, graph mining, data warehouse/cube mining, micro-array gene expression mining, privacy w.r.t. data mining, sensor network mining, data stream mining, time series mining, web mining, etc. The aim is to prepare you for advanced data mining research and application development.