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Semantic Web

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by

Nagham Mohamed

on 11 January 2014

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Transcript of Semantic Web

What is
Semantic
?
Semantic Web
Content:
Introduction
Evolution of Web
Limitations of Web 2.0
Semantic Web solutions
Components
Why has it taken so long?
Overcoming the barriers
Advantages and disadvantages
Applications
Definition:
An evolving development of the World Wide Web
in which the meaning (
semantics
)of information
and services on the web is defined, making it possible for the web to "understand" and satisfy
the requests of people and machines to use the web content.
Introduction
Sir Tim Berners-Lee's vision
Components of Semantic Web:
- Resource Description Framework (
RDF
).
-
RDF
Schema.
- Web Ontology Language (
OWL
).
Purpose
Evolution of Web
The Intelligence is in the connections
Limitation of HTML

Structure of HTML web page
Metadata tags, for example:

<meta name="
keywords
"content="
computing
,
computer studies
,
computer
''>
<meta name="
description
"content="
Cheap widgets for sale
">
<meta name="
author
"content="
John Doe
''>

provide a method by which computers can categorize the content of the web page.
Beyond the Limits of
Keyword search
What will the future look like ?
Social

Social + Semantic Web
Semantic Web solutions
The Semantic Web involves publishing in languages specially designed for data:
-Resources Description Framework (RDF)
-Web Ontology language (OWL)
-Extensible Markup language (XML)

HTML describes documents and the links between them.
RDF, OWL, XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts.
Giants Global Graph.
These technologies are combined in order to provide descriptions the supplement or replace the content of Web documents.
Thus, content may manifest itself as descriptive data stored in Web-accessible databases, or as markup within documents.
Example- User wants to buy a mobile handset online.
How the Semantic Infrastructure gets used in Semantic Search
The Third decade of the Web
Enrich the structure of the Web

-Improve the quality of search, collaboration,
publishing, advertising.
-Enables applications to become more
integrated and intelligent.


Transform Web from file server to database
-Semantic technologies will play a key role.
The Big Opportunity
The social graph just connects people
The Big Opportunity
The social graph just connects people
The social graph just connects everything...
Better search
More targeted ads
Smarter collaboration
Deeper integrate
Richer content
Better personalization

A Higher Resolution Web
Semantic Web open Standards
RDF
- store data as "triple"

OWL
-Define systems of concepts called "ontologies"

Sparql
-Query data in RDF

SWRL
-Define rules

GRDDL
-Transform data to RDF
RDF "Triple"
Subject
Object
Predicate
The subject, which is an RDF URI reference or a blank node.

The predicate, which is as RDF URI reference.

The object, which is an RDF URI reference, a literal or a blank node.
One Semantic Web or many ..?!
The Answer in
BOTH

The Semantic Web is a web of semantic webs
Each of us may have our own semantic web
Why it has taken so long ??
The dream of the Semantic Web has been slow to arrive.
The original vision was too focused on A.I.
Technologies and tools were insufficient.
Needs for open data on the Web were not strong enough
Keyword search and tagging were good enough... for a while.
Crossing the Barriers

Communicating the vision
-Focus on open data, not A.I.
-Show the market what the benefits are
Technology progress
-Standards and tools finally maturing
Needs were not strong enough
-Keyword search and tagging not as productive anymore
-Apps need better way to share data
Killer apps and content
-Several companies are starting to expose data to the Semantic Web. soon there will be a lot of data
The Semantic Web is a key Enabler

Movies the "intelligent" out of applications, into the data
Data becomes self-describing; Meaning of data becomes part of data
Apps can become smarter with less work, because the data carriers knowledge about what it is and how to use it
Data can be shared and linked more easily
Pros
Cons
-More precise queries
-Smarter apps with less work
-Not as computationally intensive
-Share and link data between apps
-Works for both unstructured and structured data

-Lack of tools
-Difficult to scale
-Who makes all the meta data
Applications
Radar networks
DBpedia project
Metaweb
FOAF
(friends of friends)
SIOC
(semantic interlink open communities )
SIMILE
(semantic interoperability of metadata and information in unlike environments)
NextBio
OpenPSI
Thank You
Prepared by:
Islam Mahmoud
Kerols Alfons
Full transcript