please send me the ppt of the above mentioned topic ....etc

[:=Read Full Message Here=:]

S. Aravind



Introduction
The past two decades have been a time of tremendous social, economic, and institutional change for all sectors of higher education, including the research library community. While responding to the unprecedented development of technology, colleges and universities have also addressed issues of social relevance, accountability, diversity, and globalization. Although academic institutions are notoriously slow to change, they have experienced considerable ferment, prompting shifts ....etc

[:=Read Full Message Here=:]

Learning and Semantic Web
G. Santhosh Kumar
Dept. Of Computer Science
Cochin UniversityPage 2

What is Semantic Web?
?
Components of Semantic Web
?
Ontology
?
E-Learning @ Semantic Web
?
Advantages
?
Semantic Applications
AgendaPage 3

Size of the web
Size of the web
Y
The Indexed Web contains at least
45.33 billion pages
(Thursday, 07
February, 2008).
?
numbers of pages indexed by Google,
Windows Live Search (Msn Search),
Yahoo Search and Ask
?
Actual Size of the Web is higher than
this!Page 4

Types of Sear ....etc

[:=Read Full Message Here=:]

Abstract
This paper presents an algorithm for automatically detectingand segmenting a moving object from a monocularvideo. Detecting and segmenting a moving object from avideo with limited object motion is challenging. Since existingautomatic algorithms rely on motion to detect the movingobject, they cannot work well when the object motion issparse and insufficient. In this paper, we present an unsupervisedalgorithm to learn object color and locality cuesfrom the sparse motion information. We first detect keyframes with reliable motion ....etc

[:=Read Full Message Here=:]

Promoting Mobile and Interactive Learning through the use of MMS Over Wireless LAN

Abstract
This paper aims o n introducing the new platform for mobile and interactive learning developed in Nanyang Technological University (NTU), which is targeted as an effective communication medium between the lecturer and students during lectures. The idea is to combine the adv antages of mobile computing and messaging service to bring an interactive learning experience into classes. For this purpose, we have developed a system tha ....etc

[:=Read Full Message Here=:]

Learning Rules and Relations from Web Text
A Seminar Report
by
Jayarajan J N
M105108
Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11


Abstract
As a step towards semantic based searching over the web, we must be able to understand the
relationships among dierent entities that are seen in typical web page content. We must be
able to group dierent entities as groups or classes. Once the entities or objects are classied
w ....etc

[:=Read Full Message Here=:]

Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

[:=Read Full Message Here=:]

Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

[:=Read Full Message Here=:]

Abstract”A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior ....etc

[:=Read Full Message Here=:]

Abstract
The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the ....etc

[:=Read Full Message Here=:]