semantic web
#1

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Introduction
Semantics means meaning o
semantic web
-> means a web with a meaning
• I love technology!
web
History of www
Web 1.0

• Web 1.0 began with the release of the
• Users can only view information in the web pages.
• Primary focus : building the web, making it accessible.
Web 2.0
• Second generation
• Users are provided with more user interface, software, storage facilities all through their browser.
Characteristics of web 2.0
• Ability of visitors to makes changes to web pages
• Using web pages users can communicate each other.
• Fast and efficient way to share documents
• New ways to get information
• Expanding access to the internet beyond the computer.
Web 3.0
• 3rd generation
• Future of www
What is semantic web?
Semantic Web is a group of methods and technologies to allow machines to understand the meaning - or "semantics" - of information on the World Wide Web.
The term was coined by World Wide Web Consortium (W3C) director Tim Berners-Lee. He defines the Semantic Web as “a web of data that can be processed directly and indirectly by machines.”
• SNGIST is one of the good institutions in Cochin
• Prof. C K Renjan is the Chairman of SNGIST
• Semantic web is not about the links between web pages.
• Describes the relationships b/w things
(like A is a part of B)
and the properties of things.
( size, weight, age, price)
Semantic web stack
• Hypertext web technologies
IRI- internationalized resource identifier
Unicode
XML-Extensible mark up language
• Standardized Semantic Web technologies
RDF-resource description framework
OWL-web ontology language
SPARQL
RDF-Resource Description framework
• is a language for describing information and resources on the web.
• The Semantic Web uses RDF to describe web resources.
• Putting information into RDF files, makes it possible for computer programs ("web spiders") to search, discover, pick up, collect, analyze and process information from the web.
OWL-Web Ontology Language
• Ontology is a formal representation of knowledge as a set of concepts with in a domain and the relationship b/w those concepts.
• Language used for knowledge representation.
SPARQL
• is a RDF query language
• it can be used to query any RDF-based data.
• Querying language is necessary to retrieve information for semantic web applications.
• Unrealized Semantic Web technologies
RIF- rule interchange format
Cryptography
Trust
User interface
opportunities
• Semantics-based web search engines
• Semantics-based digital libraries
• Web services
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#2

presented by:
Vagan Terziyan

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Semantic Web Course Introduction
§ Department of Mathematical Information Technology, University of Jyvaskyla
§ Motivation for Semantic Web
Semantic Technology
Semantic technology as a software technology allows the meaning of information to be known and processed at execution time. For a semantic technology there must be a knowledge model of some part of the world that is used by one or more applications at execution time.
§ Word-Wide Correlated Activities
Course Description
§ Practical Information
Lectures: 10 hours
Monday: 20 February, 9:00-10:15; 10:30-12:00; 13h30-15h15;
Tuesday: 21 February, 9:00-10:15; 10:30-12:00.
Þ Slides available online (links from Introductory Lecture)
Exercise: 6 hours
Monday: 20 February, 15:30-17:00
Tuesday: 21 February, 13:30-15:15; 15:30-17:00.
Þ task will be announced during the lectures
Lectures
Lecture 3: Tutorial: Designing Ontologies with Protégé

§ Protégé is an ontology editor and a knowledge-base editor (download from http://protege.stanford.edu ).
§ Protégé is also an open-source, Java tool that provides an extensible architecture for the creation of customized knowledge-based applications.
§ Protégé's OWL Plug-in now provides support for editing Semantic Web ontologies.
Additional Material for Self-Study
§ Task for the Exercise (6 x 45 min)
§ Learn to use Protégé (45 min) – personal work;
§ Create ontology for companies description based on Protégé tool (work in 4 groups, 5 persons per group all from different companies) (45+45 min);
§ semantically annotate your employer company based on ontology of your group – personal work (45 min);
§ Recreate groups so that each new group contains one representative from each previous group (i.e. it will be 5 groups, 4 persons per group), each group independently tries to integrate 4 original ontologies and appropriate semantic descriptions to one ontology in Protégé, printing final files to the report (45+45 min).
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