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Title: a web search engine based approach to measure semantic similarity between words source code for free
Page Link: a web search engine based approach to measure semantic similarity between words source code for free -
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Created at: Thursday 01st of November 2012 10:27:18 PM
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Title: Ontology Discovery for the Semantic Web Using Hierarchical Clustering
Page Link: Ontology Discovery for the Semantic Web Using Hierarchical Clustering -
Posted By: computer science technology
Created at: Thursday 28th of January 2010 09:48:26 AM
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Abstract.
According to a proposal by Tim Berners-Lee, the World Wide Web should be extended to make a Semantic Web where human understandable content is structured in such a way as to make it machine processable. Central to this conception is the establishment of shared ontologies, which specify the fundamental objects and relations important to particular online communities. Normally, such ontologies are hand crafted by domain experts. In this paper we propose that certain techniques employed in data mining tasks can be ad ....etc

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Title: Seminar Report On SEMANTIC WEB
Page Link: Seminar Report On SEMANTIC WEB -
Posted By: Computer Science Clay
Created at: Sunday 14th of June 2009 03:28:18 AM
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Seminar Report On
SEMANTIC WEB
Submitted by
VINEETHA K V
In the partial fulfillment of requirements in degree of
Master of Technology (M-Tech) in Computer & Information Science
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI-682022
2008 Page 2

Semantic Web
Department of Computer Science,,CUSAT
2
ACKNOWLEDGEMENT
I thank GOD almighty for guiding me throughout the seminars. I
would like to thank all those who have contributed to the completion of the
seminars and helped me with valuab ....etc

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Title: A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video
Page Link: A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video -
Posted By: electronics seminars
Created at: Wednesday 13th of January 2010 10:05:47 AM
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abstract:
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video

Sports video annotation is important for sports video semantic analysis such as event detection and personalization. We propose a novel approach for sports video semantic annotation and personalized retrieval. Different from the state of the art sports video analysis methods which heavily rely on audio/visual features, the proposed approach incorporates web-casting text into sports video analysis.

Compared with previous approaches, the contri ....etc

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Title: Use of Resource Description Framework in Semantic Web
Page Link: Use of Resource Description Framework in Semantic Web -
Posted By: computer science crazy
Created at: Friday 23rd of October 2009 07:03:11 PM
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The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. This makes it easier for machines to automatically process and integrate information. XML's ability to define customized tags and RDF's flexible approach to represent data could be exploited to build Semantic Web. RDF (Resource Description Framework) is used to represent information and to exchange knowledge in the Web. In extension to this several standard Ontolog ....etc

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Title: Semantic web
Page Link: Semantic web -
Posted By: nit_cal
Created at: Friday 30th of October 2009 06:44:54 PM
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Semantic web

ABSTRACT
Recently there has been a growing interest in the investigation and development of the next generation web “ the Semantic Web. While most of the current forms of web content are designed to be presented to humans, but are barely understandable by computers, the content of the Semantic Web is structured in a semantic way so that it is meaningful to computers as well as to humans. In particular ....etc

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Title: SEMINAR REPORT on Learning and Semantic Web
Page Link: SEMINAR REPORT on Learning and Semantic Web -
Posted By: Computer Science Clay
Created at: Sunday 14th of June 2009 03:48:52 AM
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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

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Title: supervised learning of semantic classes for image annotation and retrieval
Page Link: supervised learning of semantic classes for image annotation and retrieval -
Posted By: chandujm
Created at: Wednesday 30th of June 2010 11:22:04 PM
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Title: Semantic Grid
Page Link: Semantic Grid -
Posted By: computer science crazy
Created at: Tuesday 24th of February 2009 02:55:05 AM
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The Semantic Grid refers to an approach to Grid computing in which information, computing resources and services are described using the semantic data model. In this model the data and metadata are expressed through facts (small sentences). Therefore it becomes directly understandable for humans. This makes it easier for resources to be discovered and joined up automatically, which helps bring resources together to create virtual organizations. The descriptions constitute metadata and are typically represented using the technologies of the Sema ....etc

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Title: supervised learning of semantic classes for image anotation and retrieval
Page Link: supervised learning of semantic classes for image anotation and retrieval -
Posted By: chandujm
Created at: Monday 21st of June 2010 02:19:02 AM
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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

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