Slide 1: 1 Ashutosh Kotkar
TY CSE Semantic
Web Contents : 2 Contents Introduction
Evolution of Web
Limitations of Web 2.0
Semantic Web solutions
Why has it Taken So Long?
Overcoming the Barriers
Advantages & Disadvantages
Applications Definition : 3 Definition What is Semantic?
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 : 4 Introduction Sir Tim Berners-Lee's vision.
Components of Semantic Web.
Resource Description Framework (RDF).
Web Ontology Language (OWL).
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 web pages. Beyond the Limits of Keyword Search : 8 Beyond the Limits of Keyword Search Amount of data Productivity of Search Databases 2010 - 2020 Web 1.0 2000 - 2010 1990 - 2000 PC Era 1980 - 1990 2020 - 2030 Web 3.0 Web 4.0 Web 2.0 The World Wide Web The Desktop Keyword search Natural language search Reasoning Tagging Semantic Search The Semantic Web The Intelligent Web Directories The Social Web Files & Folders What will the future look like? : 9 What will the future look like? Social Web Semantic Web Solutions : 10 Semantic Web Solutions The Semantic Web involves publishing in languages specifically designed for data:
Resource Description Framework (RDF),
Web Ontology Language (OWL), and
Extensible Markup Language (XML).
HTML describes documents and the links between them.
RDF, OWL, and XML, by contrast, can describe arbitrary things such as people, meetings, or airplane parts.
Giant Global Graph. Semantic Web Solutions : 11 Semantic Web Solutions These technologies are combined in order to provide descriptions that 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 : 12 How the Semantic Infrastructure gets used in Semantic Search Search
Front End “Mobile Handset” Mobile Handset whose manufacturer is
Specified in search Who has
- nearby price?
- provided features?
- more options? KB UDDI Other products… Provided features… Nearby price… Caching & Buffering The third decade of the Web : 13 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 fileserver to database
Semantic technologies will play a key role The Big Opportunity… : 14 The Big Opportunity… Better search
More targeted ads
Better personalization A Higher Resolution Web : 15 A Higher Resolution Web Coldplay
Band Palo Alto
Web Site 123.JPG
RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member
of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of Semantic Web Open Standards : 16 Semantic Web Open Standards RDF – Store data as “triples”
OWL – Define systems of
concepts called “ontologies”
Sparql – Query data in RDF
SWRL – Define rules
GRDDL – Transform data to RDF RDF “Triples” : 17 RDF “Triples” the subject, which is an RDF URI reference or a blank node
the predicate, which is an RDF URI reference
the object, which is an RDF URI reference, a literal or a blank node One Semantic Web or Many? : 18 One Semantic Web or Many? The answer is….Both
The Semantic Web is a web of semantic webs
Each of us may have our own semantic web… Why has it Taken So Long? : 19 Why has it 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… : 20 Crossing the Barriers… Communicating the vision
Focus on open data, not A.I.
Show the market what the benefits are
Standards & 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 : 21 The Semantic Web is a Key Enabler Moves the “intelligence” out of applications, into the data
Data becomes self-describing; Meaning of data becomes part of the data
Apps can become smarter with less work, because the data carries knowledge about what it is and how to use it
Data can be shared and linked more easily Pros & Cons : 22 Pros & Cons Pros:
More precise queries
Smarter apps with less work
Not as computationally intensive
Share & link data between apps
Works for both unstructured and structured data
Lack of tools
Difficult to scale
Who makes all the metadata? Applications : 23 Applications Radar Networks
FOAF (Friend of a Friend)
SIOC (Semantically Interlinked Open Communities)
SIMILE (Semantic Interoperability of Metadata and Information in unLike Environments)
OpenPSI Slide 24: 24 Any Questions ??? Slide 25: 25 Thank You…!